david pritchard. bibliography.

Keyword: "transport modelling"

[1] John Edward Abraham. A review of the MEPLAN modelling framework from a perspective of urban economics. Research Report CE98-2, University of Calgary, Department of Civil Engineering, Calgary, AB, Canada, 1998. [ bib ]
Keywords: transport modelling
[2] John Edward Abraham. Parameter Estimation in Urban Models: Theory and Application to a Land Use Transport Interaction Model of the Sacramento, California Region. PhD thesis, University of Calgary, Department of Civil Engineering, Calgary, AB, Canada, 2000. [ bib | .pdf ]
Keywords: transport modelling, ilute, land use transport link
[3] John Edward Abraham and John Douglas Hunt. Dynamic microsimulation of heterogeneous spatial markets. In Proceedings of the Workshop on Economics with Heterogeneous Interacting Agents, Maastricht, The Netherlands, June 2001. [ bib ]
Keywords: transport modelling, spatial modelling, ilute
[4] John Edward Abraham and John Douglas Hunt. Spatial market representations: concepts and application to integrated planning models. In Proceedings of the 49th Annual North American Meetings of the Regional Science Association International, San Juan, Puerto Rico, November 2002. [ bib ]
Keywords: transport modelling, spatial modelling, ilute
[5] John Edward Abraham and John Douglas Hunt. Market-based linkages in integrated land use transport models. In Proceedings of the 8th Computers in Planning and Urban Management Conference, Sendai, Japan, March 2003. [ bib | .pdf ]
An economic market approach to urban system modelling is described, where all interactions are characterized as exchanges in a market. This leads to a natural partition of an integrated urban model into submodels based on the category of good or service being supplied or demanded, the type of agent making the demand or supply, and the time and place of interaction. Actors communicate through 6 defined operations on markets, decoupling the algorithms representing different behaviour. Agent based approaches to simulation are a natural extension of the market approach, allowing a transaction based simulation of heterogeneous spatial markets with individual agents making specific offers in specific places at specific times, and other agents accepting those offers at future specific times. Incorporating many existing modelling methods into such a framework requires a set of average prices by segmenting markets by commodity category, space and time, and wrapping the modules in interfaces that recast the inputs and ouputs into market operations. The paradigm is applied to two existing modelling frameworks: the Sacramento MEPLAN model and the Oregon statewide TLUMIP model.

Keywords: transport modelling, ilute
[6] John Edward Abraham, T. Weidner, J. Gliebe, C. Willison, and John Douglas Hunt. Three methods for synthesizing base-year built form for use in integrated land use-transport models. Transportation Research Record, 1902:114-123, 2005. [ bib ]
Keywords: transport modelling, urban planning
[7] Alex Anas. NYSIM (The New York Simulation Model): A Model of Cost-Benefit Analysis of Transportation Projects. Regional Planning Association, New York City, NY, USA, 1992. [ bib ]
Keywords: transport modelling
[8] Alex Anas. METROSIM: A unified economic model of transportation and land-use. Technical report, Alex Anas & Associates, Williamsville, NY, USA, 1994. [ bib ]
Keywords: transport modelling
[9] Alex Anas. Capitalization of urban travel improvements into residential and commercial real estate: Simulations with a unified model of housing, travel mode and shopping choices. Journal of Regional Science, 35(3):351-375, 1995. [ bib ]
Keywords: transport modelling
[10] Alex Anas. NYMTC transportation models and data initiative, the NYMTC Land Use Model. Technical report, Alex Anas & Associates, Williamsville, NY, USA, 1998. [ bib ]
Keywords: transport modelling
[11] William P. Anderson, Pavlos S. Kanaroglou, Eric J. Miller, and Ron N. Buliung. Simulating automobile emissions in an integrated urban model. Transportation Research Record, 1520:71-80, 1996. [ bib ]
The network component of an integrated urban model called IMULATE is interfaced with the MOBILE5.C emissions models. IMULATE produces estimates of traffic flows and average speeds on each link in an urban road network using a user equilibrium assignment algorithm. This information is combined with speed-dependent emissions factors generated by MOBILE5.C to calculate estimates of the three types of emissions on a link-by-link basis. The combined models are implemented for the Hamilton, Ontario, Canada, metropolitan area. Simulations are conducted to illustrate the spatial patterns of emissions in the morning peak period and to demonstrate the impact of congestion on emissions estimates. The incorporation of detailed network performance information yields significant benefits in the estimation of regional automobile emissions.

Keywords: transport planning, transport modelling, ilute
[12] Kay W. Axhausen. Can we ever obtain the data we would like to have? In K. Westin, editor, Theoretical Foundations of Travel Choice Modelling, pages 305-323. Elsevier Science Ltd., Oxford, UK, 1998. [ bib ]
Keywords: transport modelling, spatial modelling
[13] Daniel A. Badoe. An Investigation into the Long Range Transferability of Work-Trip Discrete Mode Choice Models. PhD thesis, University of Toronto, Department of Civil Engineering, Toronto, ON, Canada, 1994. [ bib ]
Keywords: transport modelling, canada
[14] Daniel A. Badoe and Eric J. Miller. Analysis of temporal transferability of disaggregate work trip mode choice models. Transportation Research Record, 1493:1-11, 1995. [ bib ]
An empirical study is presented of the long-range temporal transferability properties within a fixed geographic area of disaggregate logit models of work trip mode choice. The study area is the greater Toronto area, Ontario, Canada. The two temporal contexts are 1964 and 1986, with models estimated from 1964 data being used to predict 1986 travel choices. In addition to the very long transfer period (which does not appear to have been previously examined), a major feature of this study is that a wide variety of model specifications, ranging from the simplest possible market share model to a complex market segmentation model, are tested to investigate the relationship between model specification and transferability. Major findings of the study include (a) as in most transferability studies, model parameters are not temporally stable; (b) pragmatically the transferred models provide considerable useful information about application context travel behavior; (c) in general, improved model specification improves the extent of the model's transferability; (d) an important exception to Point c is the complex market segment model, which appears to be “overspecified” and, in the face of changing contextual factors during the 22-year period predicts 1986 conditions quite poorly; (e) Point c notwithstanding, simple level-of-service models perform very well in terms of their spatially aggregate predictions (which are often of primary practical importance to planners); (f) the models that best fit the estimation context (1964) data do not always transfer the best to 1986 conditions; and (g) “transfer scaling”, in which modal utility constants and scales are updated, can significantly improve model transferability.

Keywords: transport modelling, canada
[15] Daniel A. Badoe and Eric J. Miller. Comparison of alternative methods for updating disaggregate logit mode choice models. Transportation Research Record, 1493:90-100, 1995. [ bib ]
An empirical assessment of alternative methods of updating disaggregate travel choice models so that their transferability from the estimation context within which they were originally developed to an application context (which differs from the original estimation context geographically or temporally, or both) is presented. The case study for the empirical tests performed is a long-term temporal transfer of work trip logit mode choice models estimated using 1964 data for the Greater Toronto Area (GTA) to represent 1986 work trip mode choice in the GTA. Three updating procedures that have been previously presented in the literature are examined (Bayesian updating, transfer scaling, and combined transfer estimation), plus a fourth new procedure, joint context estimation. All four procedures assume that a “small” data set of observed travel choices is available for the application context, which can be used in the updating procedure. The case study results indicate that the latter three procedures all possess merit as potential updating methods, with the choice among the three depending on such items as model specification and application context sample size. The results also indicate that if the application context sample size exceeds 400 to 500 observations, then updating may provide little or no improvement over simple estimation of an application context model, especially if “full” model specification is supported by the available data.

Keywords: transport modelling
[16] Daniel A. Badoe and Eric J. Miller. An automatic segmentation procedure for studying variations in mode choice behavior. Journal of Advanced Transportation, 32(2):190-215, 1998. [ bib ]
Urban areas are very complex and heterogeneous in terms of their population composition and activity systems. The transit system, modal choices and service levels available to the population also varies considerably across space and time. These similarities and differences in choices and levels of explanatory variables facing individual tripmakers have to be explicitly considered in any study of transit behavior. The common practice has been to include user attributes, in addition to the system characteristics, in the modal utility functions to help capture differences in choice behavior across individuals. However, it could well be that the mode-choice behavior of a segment of the population is fundamentally different from other segments of the population. In view of this, some studies have applied segmentation schemes to help identify the subgroups of presumably different travel responses. Typically, such schemes have been based on stratification of the population by a single variable, chosen either based on a priori notions or one-way cross tabulations. This paper develops analytical procedure that simultaneously deals with level of service, socioeconomic and spatial factors to determine the relative role each plays in determining travel behavior. The procedure is applied to data from the Toronto region to illustrate its use.

Keywords: transport modelling, ilute
[17] Daniel A. Badoe and Eric J. Miller. Modeling mode choice with data from two independent cross-sectional surveys: an investigation. Transportation Planning and Technology, 21:235-261, 1998. [ bib ]
The prevailing practice in travel demand modelling is to estimate disaggregate models of mode choice with data from the most recent cross-sectional travel survey available on an urban area for forecasting purposes. Very often, however, most urban areas have available data from older cross-sectional surveys, which are often entirely ignored in the modelling effort. This paper explores the possibility of pooling data from two independent cross-sectional travel surveys on the same urban area for model estimation and forecasting by applying a model structure which allows for transfer-bias, referred to as the joint context estimation procedure. This procedure consists of joint, full information maximum likelihood estimation of a related set of logit choice models for the contexts which are based on the following two assumptions: (1) differences in model parameter values between contexts are expressible in terms of differences in the contexts' alternative-specific constants and overall scale of the contexts' utility functions; and (2) aside from these differences in alternative-specific constants and scales, model parameters are common across contexts. An empirical case study is presented, involving the use of two datasets, gathered 22 years apart (1964 and 1986) for the Greater Toronto Area (GTA), to estimate morning peak period work trip mode choice models. The estimated models are applied in prediction tests on the 1964, 1986 and a third independent data set, the 1991-data, also collected in the GTA. The performance of the joint context models is compared to that of an independent model, estimated on the 1986 data only. The results clearly demonstrate that joint context estimation dominates the independent 1986-model in predictive performance. The paper concludes by briefly discussing the possible roles, which joint context estimation might play in the development of improved transferability of disaggregate choice models.

Keywords: transport planning, transport modelling, ilute
[18] Daniel A. Badoe and Eric J. Miller. Transportation land-use interaction: empirical findings in North America, and their implications for modeling. Transportation Research D, 5(4):235-263, 2000. [ bib ]
Keywords: transport modelling, ilute, land use transport link
[19] D.F. Batten and D.E. Boyce. Spatial interaction, transportation, and interregional commodity flow models. In P. Nijkamp, editor, Handbook of Regional and Urban Economics, volume 1: Regional Economics, pages 357-406. North Holland, Amsterdam, The Netherlands, 1986. [ bib ]
Keywords: transport modelling, spatial modelling
[20] M.J. Beckmann, C.B. McGuire, and C.B. Winston. Studies in the Economics of Transportation. Yale University Press, New Haven, CI, USA, 1956. [ bib ]
Keywords: transport modelling
[21] Richard J. Beckmann, Keith A. Baggerly, and Michael D. McKay. Creating synthetic baseline populations. Transportation Research A, 30(6):415-435, 1996. [ bib ]
Keywords: transport modelling, population synthesis
[22] Moshe E. Ben-Akiva. Structure of passenger travel demand models. Transportation Research Record, 526, 1974. [ bib ]
Common reference of Miller's, used to justify prominence of auto ownership in models.
Keywords: transport modelling
[23] Moshe E. Ben-Akiva and Steven R. Lerman. Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press, Cambridge, MA, USA, 1985. [ bib ]
Keywords: discrete choice modelling, transport modelling
[24] Cristo Sergio Bertuglia, G. Leonardi, and A.G. Wilson, editors. Urban Dynamics: Designing an integrated model. Routledge, London, UK, 1990. [ bib ]
Keywords: urban economics, transport modelling
[25] Marlon G. Boarnet and Randall Crane. Travel by design: the influence of urban form on travel. Oxford University Press, New York City, NY, USA, 2001. [ bib ]
The chapter I've read (2) was a fairly technical look at modelling the impacts of land use changes on travel demand.
Keywords: transport planning, transport modelling, urban planning, land use transport link
[26] Piet H.L. Bovy and Mark A. Bradley. Route choice analyzed with stated-preference approaches. Transportation Research Record, 1037, 1985. [ bib ]
Keywords: route choice, transport modelling, bicycle planning
[27] David Boyce. Is the sequential travel forecasting paradigm counterproductive? Journal of Urban Planning and Development, 128(4):169-183, December 2002. [ bib ]
Some interesting history. He discusses BecMcGWin56, a 1950s Chicago paper that was more “integrated” that the traditional four-stage model that was developed in parallel in Chicago. He criticizes the ill-defined feedback in the four-stage model.
Keywords: transport modelling
[28] D.E. Boyce. Urban transportation network-equilibrium and design models: recent achievements and future prospects. Environment and Planning A, 16:1445-1474, 1984. [ bib ]
Keywords: transport modelling
[29] E. Caindec and P. Prastacos. Update of the POLIS land-use transportation models. Working paper, Assocation of Bay Area Governments, Oakland, CA, USA, 1995. [ bib ]
Keywords: transport modelling
[30] I. Cameron, Jeffrey R. Kenworthy, and T.J. Lyons. Understanding and predicting private motorised urban mobility. Transportation Research D, 8:267-283, 2003. [ bib ]
Keywords: transport modelling
[31] Juan A. Carrasco and Juan de Dios Ortúzar. A review and assessment of the nested logit model. Transport Reviews, 22(2):197-218, 2002. [ bib ]
Keywords: transport modelling, discrete choice modelling
[32] Juan A. Carrasco, B. Hogan, B. Wellmand, and Eric J. Miller. Collecting social network data to study social activity-travel behavior: An egocentric approach. Environment and Planning B, forthcoming, 2007. [ bib ]
Keywords: transport modelling
[33] Juan A. Carrasco and Eric J. Miller. Exploring the propensity to perform social activities: A social network approach. Transportation, 33:463-480, 2006. [ bib ]
Keywords: transport modelling
[34] Juan A. Carrasco, Eric J. Miller, and B. Wellman. The interaction between spatial and social networks: The case of social activity-travel. In Presented at the 11th International Association for Travel Behaviour Research Conference, Kyoto, Japan, August 2006. [ bib ]
Keywords: travel behaviour, transport modelling, ilute
[35] Graham P. Clarke, editor. Microsimulation for Urban and Regional Policy Analysis, volume 6 of European Research in Regional Science. Pion, London, UK, 1996. [ bib ]
Keywords: urban economics, transport modelling
[36] M. Clarke and E. Holm. Micro-simulation methods in human geography and planning: a review and further extensions. Geografiska Annaler, 69B:145-164, 1987. [ bib ]
Keywords: urban economics, transport modelling
[37] Sonny Conder and Keith Lawton. Alternative futures for integrated transportation and land use models contrasted with “Trend-Delphi” models: Portland Oregon Metro results. Transportation Research Record, 1805, 2002. [ bib ]
Keywords: land use transport link, transport modelling
[38] D. Coombe. Induced traffic: what do transportation models tell us? Transportation, 23(1):83-101, 1996. [ bib ]
Keywords: transport modelling, induced travel
[39] Denvil Coombe, John Bates, and Martin Dale. Modelling the traffic impacts of highway capacity reductions. Traffic Engineering and Control, 39(7/8):430-433, July 1998. [ bib ]
Keywords: transport modelling, roadspace reallocation
[40] Adil Cubukgil and Eric J. Miller. Occupational status and the journey-to-work. Transportation, 11(3):251-276, September 1982. [ bib | DOI ]
Keywords: transport modelling, demographics
[41] Juan de Dios Ortúzar and L.G. Willumsen. Modelling Transport. John Wiley and Sons, New York City, NY, USA, 2nd edition, 1994. [ bib ]
Keywords: transport modelling, discrete choice modelling
[42] Elizabeth Deakin and T. Lathrop. In Proceedings of the Conference on Research Needs in Land Use Modeling and Analysis, Berkeley, CA, USA, June 1998. [ bib ]
Keywords: transport modelling, transport planning, urban planning
[43] P. DeCorla-Souza and H. Cohen. Estimating induced travel for evaluation of metropolitan highway expansion. Transportation, 26:249-262, 1999. [ bib ]
Keywords: transport modelling, induced travel
[44] Benedict G.C. Dellaert, Theo A. Arentze, Michel Bierlaire, Aloys W.J. Borgers, and Harry J.P. Timmermans. Investigating consumers' tendency to combine multiple shopping purposes and destinations. Journal of Marketing Research, 35:177-188, May 1998. [ bib | http ]
Keywords: transport modelling, shopping
[45] Sean T. Doherty. Interactive methods for activity scheduling processes. In K. Goulias, editor, Transportation Systems Planning: Methods and Applications, volume 7, pages 25-51. CRC Press, New York City, NY, USA, 2002. [ bib ]
Keywords: transport modelling, ilute
[46] Sean T. Doherty and Kay W. Axhausen. The development of a unified modeling framework of the household activity-travel scheduling process. In W. Brilon, F. Huber, M. Schreckengerg, and H. Wallentowitz, editors, Traffic and Mobility: Simulation-Economics-Environment, pages 35-56. Springer, Berlin, Germany, 1999. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[47] Sean T. Doherty, Kay W. Axhausen, Tommy Gärling, and Eric J. Miller. A conceptual model of the weekly household activity-travel scheduling process. In Network on European Communications and Transport Activities Euroconference, Israel, April 1998. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[48] Sean T. Doherty and Eric J. Miller. Tracing the household activity scheduling process using a one week computer-based survey. In Proceedings of the International Association of Travel Behavior Research: Challenges and Opportunities in Travel Behavior Research and Applications, Austin, TX, USA, September 1997. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[49] Sean T. Doherty and Eric J. Miller. Activity patterns derived from a one-week household activity scheduling survey. In Presented at the 77th Annual Meeting of the Transportation Research Board, Washington, D.C., USA, January 1998. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[50] Sean T. Doherty and Eric J. Miller. A computerized household activity scheduling survey. Transportation, 27(1):75-97, 2001. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[51] Sean T. Doherty, Eric J. Miller, Kay W. Axhausen, and Tommy Gärling. A conceptual model of the weekly household activity-travel scheduling process. In E. Stern, I. Salomon, and P. Bovy, editors, Travel Behaviour: Patterns, Implications and Modelling, pages 148-165. Elgar Publishing, Cheltenham, UK, 2002. [ bib | .pdf ]
Keywords: transport modelling, ilute, travel behaviour
[52] Sean T. Doherty and Abolfazl Mohammadian. Application of artificial neural network models to activity scheduling time horizon. Transportation Research Record, 1854:43-49, 2003. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[53] Sean T. Doherty, Erika Nemeth, Matthew J. Roorda, and Eric J. Miller. Design and assessment of the Toronto Area computerized household activity scheduling survey. Transportation Research Record, 1894:140-149, 2004. [ bib ]
Keywords: transport modelling, ilute, canada, travel behaviour
[54] Richard Dowling, Joseph Holland, and Allen Huang. Guidelines for applying microsimulation modeling software. Technical report, California Department of Transportation, Oakland, CA, USA, 2002. [ bib | .pdf ]
Keywords: transport modelling
[55] Anthony Downs. The law of peak-hour expressway congestion. Traffic Quarterly, 33:347-362, 1962. [ bib ]
Keywords: transport planning, transport modelling, induced travel
[56] S. Duncan. Qualitative change in human geography: an introduction. Geoforum, 10(1-4), 1979. [ bib ]
Keywords: transport modelling
[57] R. Eash. Destination and mode choice models for nonmotorized travel. Transportation Research Record, 1674:1-8, 1999. [ bib ]
Apparently, this talks about the inapplicability of motorized travel models to peds/bikes.
Keywords: pedestrian planning, bicycle planning, transport modelling
[58] Ilan Elgar and Eric J. Miller. A conceptual model of small office firm location. Transportation Research Record, 1977:190-196, 2006. [ bib ]
Keywords: ilute, transport modelling, location choice
[59] A. Elmi, Daniel A. Badoe, and Eric J. Miller. Transferability analysis of work-trip distribution models. Transportation Research Record, 1676:169-176, 1999. [ bib ]
An empirical study of the temporal transferability properties of entropy-type trip-distribution models, applied within a fixed geographic region, is presented. Data for the study were drawn from three travel surveys conducted in 1964, 1986, and 1996 in the Toronto region. Very long transfer periods were examined, and a wide variety of model specifications were tested. These specifications ranged from the simple proportional flow model to an occupationally stratified, doubly constrained entropy model, for which spatial separation was measured by highway travel time. These models were estimated using data from 1964 and 1986. The estimated 1964 models were transferred to 1986 and 1996 to predict the distribution of travel. The 1986 models also were transferred to 1996 to predict the distribution of travel. Results showed that the travel-time parameter was not temporally stable. However, pragmatically, the transferred models were found to provide forecasts very comparable to those generated by models estimated in the respective application contexts. Improved model specification consistently resulted in improved precision of the forecasts obtained. In particular, stratification of the data by worker occupation category resulted in models with the best fit to estimation data, as well as forecasts. However, from a decision- oriented perspective, the improvement in precision obtained from additional complexity in specification did not warrant a recommendation for use of more complex models. Thus, the simple, doubly constrained entropy model with spatial separation measured by highway travel time appears satisfactory for use in practical modeling efforts.

Keywords: transport modelling, ilute, canada
[60] Ardeshir Faghri and Erika Egyháziová. Development of a computer simulation model of mixed motor vehicle and bicycle traffic on an urban road network. Transportation Research Record, 1674:86-93, 1999. [ bib | .pdf ]
Keywords: bicycle planning, transport modelling
[61] Martin Fellendorf. VISSIM: A microscopic simulation tool to evaluate actuated signal control including bus priority. In Proceedings of the 64th ITE Annual Meeting, Dallas, TX, USA, October 1994. Institute of Traffic Engineers. [ bib | .pdf ]
Keywords: transport modelling
[62] Martin Fellendorf. VISSIM: Ein Instrument zur Beurteilung verkehrsabhängiger Steuerungen. In Tagungsband zum Kolloqium “Verkehrsabhängige Steuerung am Knotenpunkt”, pages 58-68, Köln (Cologne), Germany, 1994. Forschungsgesellschaft für Strassen- und Verkehrswesen. [ bib ]
This guy is the chief researcher at PTV AG (makers of VISSIM)
Keywords: transport modelling
[63] A. Stewart Fotheringham and Michael Wegener, editors. Spatial Models and GIS: New Potential and New Models. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling, transport modelling
[64] Martin Frick and Kay W. Axhausen. Generating synthetic populations using IPF and Monte Carlo techniques: Some new results. In Proceedings of the 4th Swiss Transport Research Conference, Monte Verità, Switzerland, March 2004. [ bib ]
Keywords: transport modelling, population synthesis
[65] Mark Garrett and Martin Wachs. Transportation Planning on Trial: The Clean Air Act and Travel Forecasting. Sage Publications, Thousand Oaks, CA, USA, 1996. [ bib |

detailed annotation

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Keywords: transport planning, transport modelling, activism
[66] K.T. Geurs and J.R. Ritsema van Eck. Accessibility measures: review and applications; evaluation of accessibility impacts of land-use transportation scenarios, and related social and economic impact). Technical Report 408505006, National Institution for Public Health and the Environment, Bilthoven, The Netherlands, June 2002. [ bib | .html ]
This report describes an extensive literature study and three case studies aimed at reviewing accessibility measures for their ability to evaluate the accessibility impacts of national land-use and transport scenarios, and related social and economic impacts. Several activity- and utility-based accessibility measures were computed to analyse job accessibility by car and public transport in the Netherlands for: (1) the (base) year 1995, (2) a Trend, or business-as-usual, scenario, representing the continuation of (restrictive) Dutch land-use policies and historical land-use trends for 1995-2020, (2) a Tolerant scenario, representing a land-use scenario, in which consumers' housing preferences determine land-use developments for 1995-2020. The scenarios are based on calculations using national land-use models and a national transport model. The main conclusion arising from this study is that the current Dutch practice of evaluating the (infrastructure-based) accessibility impacts of (land-use) transport projects, plans or scenarios can be improved by estimating activity-based accessibility measures, using existing land-use and transport data, and/or models. Activity-based accessibility measures are very well able to analyse accessibility impacts, satisfactorily incorporate the different components of accessibility (i.e. the transport, land-use, temporal and individual components) and serve as a useful tool for analysing social impacts. Utility-based accessibility measures may provide a useful basis for economic evaluations of land-use transport scenarios, but further research is necessary to analyse the added value to existing evaluation methods.

Keywords: transport modelling, accessibility
[67] Phil Goodwin. Solving congestion. Inaugural Lecture for the Professorship of Transport Policy, University College London, 1997. [ bib | http ]
A good overview of progress from the 1960s “predict and provide” approach to the current idea that road capacity is fundamentally a policy decision.
Keywords: transport modelling, history, transport planning
[68] Phil Goodwin. The end of equilibrium. In T. Gårling, T. Laitila, and K. Westin, editors, Theoretical Foundations of Travel Choice Modelling. Pergamon Press, Oxford, UK, 1998. [ bib ]
Keywords: transport modelling
[69] Phil Goodwin. Congestion charging in central London: Lessons learned. Planning Theory & Practice, 5(4):501-505, December 2004. [ bib ]
Some interesting analysis of the politics in this issue. Goodwin notes that the use of revenue from congestion charging is an essential part of any scheme, in which “the beneficiaries were as visible and influential as the motorists who paid it” even if the only goal is to reduce congestion, not to raise revenue. In London's case, the revenue was funneled to public transport improvements. He also notes the implications for modelling: the traffic reduction was at the upper end of the range estimated by models, and the revenues from the scheme were hence lower than expected. “This is not particular to road pricing: it is part of a general reappraisal of establish transport modelling techniques, which have a built-in tendency to underestimate the range and complexity of the behaviour response to policy, which in turn causes an overestimation of the benefits of infrastructure expansion, and an underestimation of the benefits of demand management.” In a footnote, he adds that “some of the earlier modelling work had actually forecast a bigger effect, closer to what happened, but this had been progressively revised downwards by the modelling teams in order to produce robust, defensible, conservative assessments.”
Keywords: congestion pricing, urban politics, transport modelling
[70] Phil Goodwin, J. Dargay, and M. Hanly. Elasticities of road traffic and fuel consumption with respect to price and income: a review. Transport Reviews, 24(3):275-292, 2004. [ bib ]
Keywords: transport modelling
[71] Phil Goodwin, Carmen Hass-Klau, and Sally Cairns. Evidence on the effects of road capacity reductions on traffic levels. Traffic Engineering and Control, 39(6):348-354, June 1998. [ bib ]
Keywords: transport modelling, transport planning, roadspace reallocation
[72] Peter Gordon, Ajay Kumar, and Harry Richardson. The influence of metropolitan spatial structure on commuting time. Journal of Urban Economics, 26:138-151, 1989. [ bib ]
A reasonable paper, but I'm skeptical of the data. The authors used highly aggregated metropolitan-level data to draw inferences about travel behaviour, which seems a bit dubious. They did at least include a variable summarizing how “monocentric” each area was, but did not otherwise disaggregate the data at all. I'm not convinced that behaviour can be analysed meaningfully at that scale.
Keywords: urban form, urban planning, transport planning, transport modelling, land use transport link
[73] Khandker M.N. Habib, Ilan Elgar, and Eric J. Miller. Stress triggered household decision to change dwelling: A simultaneous dynamic approach. In Presented at the 11th International Association for Travel Behaviour Research Conference, Kyoto, Japan, August 2006. [ bib ]
Keywords: travel behaviour, transport modelling, ilute
[74] Khandker M.N. Habib and Eric J. Miller. Modelling activity generation: A utility based model for activity-travel demand. In Presented at the 11th International Association for Travel Behaviour Research Conference, Kyoto, Japan, August 2006. [ bib ]
Keywords: travel behaviour, transport modelling, ilute
[75] Khandker M.N. Habib and Eric J. Miller. Modelling individuals' frequency and time allocation behaviour for shopping activities considering household level random effects. Transportation Research Record, forthcoming, 2006. [ bib ]
Keywords: travel behaviour, transport modelling, ilute
[76] Khandker M.N. Habib and Eric J. Miller. Modelling skeletal components of workers' daily activity schedules. Transportation Research Record, forthcoming, 2006. [ bib ]
Keywords: travel behaviour, transport modelling, ilute
[77] T. Hägerstrand. What about people in regional science? Papers of the Regional Science Association, 24(7):7-21, 1970. [ bib ]
About activity-based vs. trip-based travel modelling
Keywords: spatial modelling, transport modelling
[78] T. Hägerstrand. Space, time and human conditions. In A. Karlqvist, L. Lundqvist, and F. Snickars, editors, Dynamic Allocation of Urban Space, pages 3-12. Saxon House, Farnborough, UK, 1975. [ bib ]
Keywords: spatial modelling, transport modelling
[79] Derek Halden. Using accessibility measures to integrate land use and transport policy in Edinburgh and Lothians. Transport Policy, 9(4):313-324, October 2002. [ bib ]
Keywords: transport modelling, accessibility
[80] Susan L. Handy and Kelly J. Clifton. Evaluating neighborhood accessibility: Possibilities and practicalities. Journal of Transportation and Statistics, 4(2/3), September/December 2001. [ bib | .html ]
Efforts to improve transportation choices and enhance accessibility at the neighborhood level have been hampered by a lack of practical planning tools. This paper identifies the factors that contribute to accessibility at the neighborhood level and explores different ways that planners can evaluate neighborhood accessibility. A gap between the data needed to describe important accessibility factors and the data readily available to local planning departments points to two complementary strategies: a city-wide approach using available data and geographic information systems to evaluate accessibility for neighborhoods across the city, and a neighborhood-specific approach to building a detailed accessibility database. Examples of both are presented.

Keywords: transport modelling, accessibility
[81] Antoine Haroun and Eric J. Miller. A descriptive analysis of a region-wide residential mobility survey. Presented at the 46th Annual Meeting of the North American Regional Science Association, November 1999. [ bib ]
Keywords: ilute, transport modelling, travel behaviour
[82] B. Harris. The anatomy of microsimulation. In Proceedings of the 7th International Conference on Computers in Urban Planning and Urban Management. University of Hawaii, 2001. [ bib ]
Keywords: transport modelling
[83] Britton Harris. The real issues concerning Lee's “Requiem”. Journal of the American Planning Association, 60(1):31-34, 1994. [ bib ]
Dismisses Lee73. Mostly critical of the tone of the article, and the divisions it produced in the planning community, divorcing planning from modelling for a long period. Claims are mostly about Lee's rhetoric, the authorities he appealed to, and his limited understanding of the models. Comparisons with GIS are unfortunate, since GIS has a much larger market and hence has seen much faster development than transport modelling.
Keywords: spatial modelling, transport modelling
[84] Carmen Hass-Klau, Sally Cairns, and Phil Goodwin. Better use of road capacity: what happens to the traffic? Public Transport International, 47(5), September 1998. [ bib ]
Keywords: transport modelling, transport planning
[85] D.W. Hearn and J. Ribera. Convergence of the Frank-Wolfe method for certain bounded variable traffic assignment problems. Transportation Research B, 15:437-442, 1981. [ bib ]
Examined calibration
Keywords: transport modelling
[86] David A. Hensher. Valuation of journey attributes: Existing empirical evidence. In David A. Hensher and M.Q. Dalvi, editors, Identification and Valuation of Travel Choice Determinants. McGraw-Hill, New York City, NY, USA, 1977. [ bib ]
Consumer valuation of time
Keywords: transport modelling, urban economics
[87] Antoine Hobeika. Transims fundamentals. Technical report, U.S. Department of Transportation, Washington, D.C., USA, 2005. [ bib | http ]
Keywords: transport modelling, population synthesis
[88] B.J. Hollingworth and Eric. J. Miller. Retrospective interviewing and its application in study of residential mobility. Transportation Research Record, 1551:74-81, 1996. [ bib ]
Recent work in the area of transportation and land use modeling and, more specifically, residential mobility modeling has recognized the need for increased experimentation with dynamic models. Implicitly, dynamic models require longitudinal data, which are time-consuming and expensive to collect. As an alternative to panel studies, a retrospective interviewing technique to collect data for use in a dynamic model of residential mobility is examined. A small retrospective survey of households in Toronto, Canada, was conducted using three data collection methods: mail, telephone, and telephone with mail. Ninety complete observations were obtained. The retrospective survey process and the three data collection methods are assessed and evaluated. Though not without problems, the retrospective survey proved to be a favorable alternative to panel studies. The telephone-with-mail survey method showed the most potential for use in future data collection efforts on the basis of its costs, response rates, and quality of data.

Keywords: transport modelling, travel behaviour
[89] John Douglas Hunt and John Edward Abraham. Household allocations and land development modeling components. In Presented at the Third Oregon Symposium on Integrated Land Use and Transport Models, Portland, OR, USA, July 2002. [ bib | www: ]
Keywords: transport modelling
[90] John Douglas Hunt and John Edward Abraham. Design and application of the PECAS land use modelling system. In Proceedings of the 8th International Conference on Computers in Urban Planning and Urban Management (CUPUM), Sendai, Japan, May 2003. [ bib | .pdf ]
Keywords: transport modelling, ilute
[91] John Douglas Hunt and C. Batten. Economic modeling components. In Presented at the Third Oregon Symposium on Integrated Land Use and Transport Models, Portland, OR, USA, July 2002. [ bib | www: ]
Keywords: transport modelling
[92] John Douglas Hunt and Alan T. Brownlee. Design and calibration of the Edmonton transport analysis model. In Presented at the 77th Annual Meeting of the Transportation Research Board, Washington, D.C., USA, 1998. [ bib ]
Keywords: bicycle planning, transport modelling, canada
[93] John Douglas Hunt, Alan T. Brownlee, and Kevin J. Stefan. Response to Centre Street Bridge closure: where the “disappearing” travellers went. Transportation Research Record, 1807, 2002. [ bib | .pdf ]
An ongoing topic of interest in urban transportation engineering is the impact of changes in road network capacity upon the amount of vehicle travel made in the urban area. In many cases the debate focuses on the potential increases in vehicle travel occurring with increases in road capacity - the phenomenon of “induced demand”. Some studies have also looked at the effects of reductions in roadway capacity, and found that in many of these cases reductions in vehicle travel occur, generally confirming that a relationship exists between roadway capacity and vehicle travel.

This paper provides additional information on this subject, in a North American context.

The City of Calgary, in Alberta, Canada is a thriving major urban centre with a population of over 850,000, and a Downtown employment of over 100,000. Centre Street Bridge is a major road bridge across the Bow River connecting Downtown Calgary to the residential area in the north part of the City. The bridge carries over 34,000 vehicles per day, with heavy peak period flows. In August of 1999 the Centre Street Bridge was closed to car and truck traffic for a period of 14 months for major repairs.

A detailed study was undertaken of changes in weekday traffic, transit and pedestrian flows changes that took place in weekday travel patterns during the closure. This included both analysis of observed count data before and during the closure; and an interview survey with over 1,300 car users of the Centre Street Bridge and the other bridges serving the north side of the Downtown.

This paper summarizes the major findings of this study. Particular emphasis is placed on explaining what happened to the vehicle trips that used the Bridge before the closure.

While I'm not pleased with the results they report, I'm not too surprised. I imagine some of this can be attributed to the fact that it's car-addicted Calgary, but it's still a disappointing result: very little mode shift (<10%). On the upside, the city didn't stop working during the bridge closure; drivers just had to shift their travel times and routes. This isn't very politically acceptable, though; many would feel hard done by if this occurred during a Burrard Bridge lane closure.
Keywords: induced travel, canada, transport modelling, streets, roadspace reallocation
[94] John Douglas Hunt and R. Donnelly. TLUMIP2 model overview. In Presented at the Third Oregon Symposium on Integrated Land Use and Transport Models, Portland, OR, USA, July 2002. [ bib | www: ]
Keywords: transport modelling
[95] John Douglas Hunt, R. Donnelly, John Edward Abraham, C. Batten, J. Freedman, J. Hicks, P.J. Costinett, and W.J. Upton. Design of a statewide land use transport interaction model for Oregon. In Proceedings of the World Conference on Transportation Research, Seoul, South Korea, 2001. [ bib ]
Keywords: transport modelling, transport planning
[96] John Douglas Hunt, Eric J. Miller, and David S. Kriger. Current operational urban land-use transport modeling frameworks. Transport Reviews, 25(3):217-234, May 2005. [ bib ]
Keywords: ilute, transport modelling
[97] Tetsuro Hyodo, Norikazu Suzuki, and Katsumi Takahashi. Modeling of bicycle route and destination choice behavior for bicycle road network plan. Transportation Research Record, 1705:70-76, 2000. [ bib | .pdf ]
Keywords: bicycle planning, transport modelling
[98] Muhammad Faishal Ibrahim and Peter J. McGoldrick. Modelling shopping centre choices: Effects of car ownership on clothing shopping in Singapore. Journal of Property Research, 23(3):189-214, September 2006. [ bib ]
Keywords: shopping, transport modelling
[99] Maria V. Johansson, Tobias Heldt, and Per Johansson. The effects of attitudes and personality traits on mode choice. Transportation Research A, 40(6):507-525, July 2006. [ bib | .pdf ]
Very interesting. I've seen this latent variable approach used in another recent paper, and it looks like a promising method for improving on standard regression methods.

The idea that attitudes could be a useful way of inferring propensity to choose a mode is a very valuable one.

Keywords: mode choice, latent variables, travel behaviour, transport modelling
[100] S. Kain and W. Apgar. Housing and Neighbourhood Dynamics: A Simulation Study. Harvard University Press, Cambridge, MA, USA, 1985. [ bib ]
Keywords: urban economics, transport modelling
[101] Rod Katz. Modeling bicycle demand as a mainstream transportation planning function. Transportation Research Record, 1502:22-28, 1995. [ bib ]
Keywords: bicycle planning, transport modelling
[102] Rod Katz. Forecasting bicycle demand. Technical Report AP-R194/01, Austroads Inc., Sydney, Australia, 2001. [ bib | .pdf ]
An everyday review of demand modelling. The section on “maximal share studies” was interesting (Bro82, MorTho92). They also cited a four-stage model including bicycles in Portland (RosLaw93) and Edmonton (HunBro98).
Keywords: transport modelling, bicycle planning
[103] R.E. Klosterman. An introduction to the literature on large-scale urban models. Journal of the American Planning Association, 60(1):41-44, 1994. [ bib ]
Keywords: transport modelling
[104] M. Kreitz and Sean T. Doherty. Spatial behavioral data, collection and use in activity scheduling models. Transportation Research Record, 1804:126-133, 2002. [ bib | DOI ]
Keywords: transport modelling, ilute
[105] H.-J. Krupp. Potential and limitations of microsimulation models. In G.H. Orcutt, J. Merz, and H. Quinke, editors, Microanalytic Simulation Models to Support Social and Financial Policy. North-Holland, Amsterdam, The Netherlands, 1986. [ bib ]
Keywords: urban economics, transport modelling
[106] Bruce Landis, Russell Ottenberg, and Venkat Vatticuti. The latent demand method. In Proceedings of Velo Mondiale 2000, Amsterdam, The Netherlands, 2000. [ bib | .PDF ]
Keywords: bicycle planning, transport modelling
[107] John D. Landis, S. Guhathakurta, W. Huang, and Ming Zhang. Rail transit investments, real estate values and land use change: a comparative analysis of five California rail transit systems. IURD Monograph 48, Institute of Urban and Regional Development, Berkeley, CA, USA, 1995. [ bib ]
Keywords: transport planning, transport modelling, urban economics
[108] John D. Landis, S. Guhathakurta, and Ming Zhang. Capitalization of transit investments into single-family home prices: a comparative analysis of five California rail transit systems. IURD Working Paper 619, Institute of Urban and Regional Development, Berkeley, CA, USA, 1994. [ bib ]
Keywords: transport planning, transport modelling
[109] John D. Landis and Ming Zhang. The second generation of the California urban futures model. part 1: Model logic and theory. Environment and Planning B, 25:657-666, 1998. [ bib ]
Keywords: transport modelling
[110] John D. Landis and Ming Zhang. The second generation of the California urban futures model. part 2: Specification and calibration results of the land use change module. Environment and Planning B, 25:795-824, 1998. [ bib ]
Keywords: transport modelling
[111] John D. Landis and Ming Zhang. Using GIS to improve urban activity and forecasting models: three examples. In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 63-81. Taylor and Francis, London, UK, 2000. [ bib |

detailed annotation

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Keywords: geographic information systems, spatial modelling, transport modelling
[112] Kari Lautso, Klaus Spiekermann, and Michael Wegener. Modelling policies for urban sustainability. In Proceedings of the 42nd Congress of the European Regional Science Association, Dortmund, Germany, 2002. European Regional Science Assocation. [ bib | .pdf ]
The objective of the EU research project PROPOLIS (Planning and Research of Policies for Land Use and Transport for Increasing Urban Sustainability) is to assess urban strategies and to demonstrate their long-term effect in European cities. To reach this goal, a comprehensive framework of methodologies including integrated land use, transport and environmental modelling as well as indicator, evaluation and presentation systems have been developed. Sustainable development is viewed as comprising the environmental, socio-cultural and economic dimension. About thirty key indicators have been defined to measure the three dimensions of sustainability, such as air pollution, consumption of natural resources, quality of open space, population exposure to air pollution and noise, equity and opportunities and economic benefits from transport and land use.

Indicator values are derived from state-of-the-art urban land use and transport models. A number of additional modules, including a justice evaluation module, an economic evaluation module and a GIS-based raster module, have been developed and integrated to provide further indicator values. Both multicriteria and cost-benefit analysis methods are used to consistently evaluate the impact of the policies. The environmental and social dimensions of sustainability are measured using multicriteria analysis for the evaluation of the indicators, whereas cost-benefit analysis is used for the economic dimension. The modelling and evaluation system is currently being implemented in seven European urban agglomerations: Bilbao (Spain), Brussels (Belgium), Dortmund (Germany), Helsinki (Finland), Inverness (Scotland), Naples (Italy) and Vicenza (Italy).

A large number of policies will be tested with the modelling and evaluation system in the seven urban regions. Policies to be investigated are land use policies, transport infrastructure policies, transport regulation and pricing policies and combinations of these. Besides a common policy set for all seven urban regions, city-specific local policies will be assessed as well. The first part of the paper will introduce the methodology and the modelling system developed. The second part will present first results of the policy testing and evaluation. The paper will conclude with initial conclusions on successful strategies to enhance the long-term sustainability of urban regions.

Keywords: transport planning, transport modelling
[113] Ming S. Lee, Sean T. Doherty, Ramesh Sabetiashraf, and Michael G. McNally. iCHASE: An Internet computerized household activity scheduling elicitor survey. Technical Report UCI-ITS-AS-WP-99-1, Center for Activity Systems Analysis, November 1999. [ bib | http ]
The primary goal of activity-based models is a fundamental examination of the behavioral process that results in revealed travel behavior. To reveal this process, a new computer program, iCHASE, has been developed to collect data for a study of the determinants of travel and activity behavior in households. These data are inherently dynamic, since respondents record planned activity schedules and then update these schedules on a daily basis, fully defined in time and space. The resultant data will facilitate the identification of fundamental inter-relationships among a comprehensive range of revealed travel and activity participation variables, leading toward the identification of the critical variables, relationships and rules that govern that behavior. It is believed that an Internet-based travel survey, particularly one as rich in resultant content as iCHASE, will significantly reduce data collection costs, improve data quality and quantity and allow for continuous data collection.

Keywords: transport modelling, ilute
[114] M.S. Lee and M. McNally. Experiments with a computerized self-administrative activity survey. Transportation Research Record, 1748:125-131, 2001. [ bib ]
Keywords: transport modelling
[115] Steven R. Lerman. Location, housing, auto ownership and mode to work: A joint choice model. Transportation Research Record, 610:6-11, 1976. [ bib ]
Keywords: transport modelling
[116] Thirayoot Limanond and Debbie A. Niemeier. Effect of land use on decisions of shopping tour generation: a case study of three traditional neighborhoods in WA. Transportation, 31(2):153-181, May 2004. [ bib ]
This study investigates the relationship between land use and shopping tour generation using an activity-based shopping model that captures the effects of land use patterns on household decisions of shopping tour frequency, tour scheduling and mode choice. The model was calibrated using travel data collected in three traditional neighborhoods located in the Puget Sound region, WA, and shopping travel patterns across seven common household structures were analyzed. The results reveal that land use patterns have virtually no impact on overall shopping tour frequency. However, land use does seem to be associated with decisions about the type of shopping tours undertaken. For example, households with poorer accessibility tend to make fewer one-stop shopping tours, and are more likely to combine shopping trips with other trips to form multi-stop shopping tours as a means of compensating for locational deficiencies. Finally, we also found that traditional neighborhood residents who live closer to the neighborhood commercial street, and thus, have greater accessibility, are more inclined to use non-auto modes for one-stop shopping tours.

Keywords: transport modelling, discrete choice modelling, shopping
[117] Thirayoot Limanond, Debbie A. Niemeier, and Patricia L. Mokhtarian. Specification of a tour-based neighborhood shopping model. Transportation, 32(2):105-135, May 2005. [ bib | DOI ]
Keywords: transport modelling, shopping
[118] Marek Litwin, Sean Doherty, and Eric J. Miller. Investigating competition patterns in the household activity scheduling processes. In Presented at the 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., USA, January 2004. [ bib ]
Recent developments in the area of dynamic household activity scheduling require better understanding of the behavioural aspects of scheduling processes within households, and, in particular, formation and modification of the provisional schedule, conflict resolution, and rescheduling processes. The goal of this paper is to identify and examine scheduling processes within households using data collected in Quebec City using the Computerized Household Activity Scheduling Elicitor (CHASE) survey software. CHASE addresses the problems of detailed data collection not only concerning activities and travel per se, but also scheduling behaviour processes themselves, including dynamic modifications to the schedule during its execution phase. Univariate analysis performed on the CHASE data provides insights and correlations between household characteristics and the nature of these processes but also questions the activity scheduling approach based on generic activity type classification rules.

Keywords: transport modelling, ilute, travel behaviour
[119] Marek Litwin and Eric J. Miller. Investigation of household activity behaviour-descriptive analysis. Presented at the Annual Meeting of the Canadian Regional Science Association, June 2002. [ bib ]
Keywords: ilute, transport modelling, travel behaviour
[120] Marek Litwin and Eric J. Miller. Agenda formation: evolution of activity sequencing within an event-driven time-series based framework. In Presented at the EIRASS Conference on Progress in Activity-Based Analysis, Maastricht, The Netherlands, May 2004. [ bib ]
This paper provides a quantitative analysis and comparison between the recent Toronto Activity Panel Survey CHASE (Computerized Household Activity Scheduling Elicitor) dataset and a previously collected Quebec City CHASE dataset with the focus on household agenda formation.

The CHASE datasets were analyzed in the context of a newly developed event-driven time-series based activity scheduling framework that explicitly incorporates individuals' agenda formation. The modelling framework, based on McTaggart's concept of time, has two levels of agenda abstraction: conceptual and perceptual, where the second level of abstraction includes provisional sequences of activity episodes. CHASE has been designed to provide detailed observation of scheduling processes and agenda formation. In particular it allows one to trace activity schedule evolution from the planning phase, through modification phases to the execution phase. An original computer algorithm has been applied to the datasets to allow the analyst to visualize the development of provisional activity sequences.

Keywords: transport modelling, ilute, canada, travel behaviour
[121] Marek Litwin and Eric J. Miller. Event-driven time-series based dynamic model of decision making processes: philosophical background and conceptual framework. In Presented at the 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., USA, January 2004. [ bib ]
The time dimension in decision-making and activity scheduling models in both conceptual and operational applications is a critical issue. A crude conceptualization of time in current models creates a number of problems with representing dynamic decision-making processes and limits the potential of existing models. Event-Driven Time-Series Based Dynamic Model of Decision Making Processes is a proposition of a modeling framework that attempts to simulate the natural way of decision-making and scheduling behaviour which transforms agent's ideas from their conceptual phase through a provisional schedule to eventually executed activity patterns. It is based on concepts of time in philosophy and science of social behaviour and psychology. The Event-Driven Time-Series Based Dynamic Model links short-term scheduling with long-term planning and lifetime decision-making. This provides a natural link with car ownership or land use models and also provides for a dynamic interface with microsimulation models of network performance sensitive to short-term fluctuations of traffic condition. The model explicitly utilizes conceptual and perceptual time-spaces and exploits non-linearity and multidimensionality of decision-making time-space. The decision-making agents explicitly recognize a time horizon and their decision-making behaviour is driven by events.

Keywords: transport modelling, ilute, travel behaviour
[122] Rongfang (Rachel) Liu and Chang-Qian Guan. Mode biases of urban transportation policies in China and their implications. Journal of Urban Planning and Development, 131(2):58-70, June 2005. [ bib ]
An interesting article, particularly since I haven't read much on China before. They describe bike mode share of 40-60%, which is quite incredible! Car trips belong in the "other" category, and other makes up less than 14% of trips. However, it's on the rise: they show Beijing rising from 6% in 1986 to 27% in 2000 (for "other"). They complain about patronizing Western attitudes towards bicycles, but do a little of the same themselves. However, they close with an appeal for China to emulate the Dutch.
Keywords: bicycle planning, transit, transport modelling
[123] Ira S. Lowry. A model of metropolis. Technical Report RM-4035-RC, Rand Corporation, Santa Monica, CA, USA, 1964. [ bib ]
Keywords: transport modelling
[124] Ira S. Lowry. A model of metropolis (excerpts). In J. Franklin, editor, Models of Employment and Residential Location, pages 199-232. Center for Urban Policy Research, Rutgers University, New Brunswick, NJ, USA, 1974. [ bib ]
Keywords: transport modelling
[125] T.J. Lyons, Jeffrey R. Kenworthy, C. Moy, and F. dos Santos. An international air pollution model for the transportation sector. Transportation Research D, 8:159-167, 2003. [ bib ]
Keywords: transport modelling
[126] Francisco J. Martinez. The bid-choice land-use model: An integrated economic framework. Environment and Planning A, 24:871-875, 1992. [ bib ]
Keywords: transport modelling
[127] Francisco J. Martinez. MUSSA: a land use model for Santiago City. Technical report, Department of Civil Engineering, University of Chile, Santiago, Chile, 1997. [ bib ]
Keywords: transport modelling
[128] Francisco J. Martinez. Towards a microeconomic framework for travel behavior and land use interactions. In Proceedings of the Eighth Meeting of the International Association of Travel Behaviour Research, Austin, TX, USA, 2001. [ bib ]
Keywords: transport modelling
[129] Michael D. Meyer and Eric J. Miller. Urban Transportation Planning: A Decision-Oriented Approach. McGraw-Hill, New York City, NY, USA, 2nd edition, 2001. [ bib |

detailed annotation

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Keywords: transport planning, transport modelling, land use transport link
[130] Eric J. Miller. Microsimulation and activity-based forecasting. In Summary, Recommendations and Compendium of Papers, Travel Mode Improvement Program Activity-Based Travel Forecasting Conference, pages 151-172, Washington, D.C., USA, June 1996. US Department of Transportation. [ bib ]
Keywords: transport modelling
[131] Eric J. Miller. The Greater Toronto Area travel demand modelling system version 2.0. Technical report, Joint Program in Transportation, University of Toronto, Toronto, ON, Canada, 2001. [ bib ]
A clear overview of the classic four-stage transport model, with applications to Toronto, including more emphasis on multi-modal trips etc.
Keywords: transport modelling, canada
[132] Eric J. Miller. ILUTE: Historical evolution, current status, future prospects. Presentation available online, 2003. [ bib | .pdf ]
A good overview of the current status of the ILUTE project.
Keywords: ilute, transport modelling
[133] Eric J. Miller. Land use - transportation modelling. In K.G. Goulias, editor, Transportation System Planning Methods and Applications, chapter 5, pages 5-1-5-24. CRC Press, Boca Raton, FL, USA, 2003. [ bib ]
Keywords: land use transport link, transport modelling
[134] Eric J. Miller. Microsimulation. In K.G. Goulias, editor, Transportation System Planning Methods and Applications, chapter 12, pages 12-1-12-22. CRC Press, Boca Raton, FL, USA, 2003. [ bib ]
Keywords: transport modelling
[135] Eric J. Miller. Integrated land-use/transport model requirements. In D.A. Hensher, K.J. Button, K.E. Haynes, and P.R. Stopher, editors, Handbook of Transport Geography and Spatial Systems, volume 5 of Handbooks in Transport, pages 147-166. Elsevier Science, Amsterdam, The Netherlands, 2004. [ bib ]
Keywords: transport modelling, land use transport link
[136] Eric J. Miller. The trouble with intercity travel demand models. Transportation Research Record, 1895:94-101, 2004. [ bib ]
Keywords: transport modelling, intercity transport
[137] Eric J. Miller. An integrated framework for modelling short- and long-run household decision-making. In Harry J.P. Timmermans, editor, Progress in Activity-Based Analysis, pages 175-202. Elsevier, Oxford, UK, 2005. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[138] Eric J. Miller. Project-based activity scheduling for household and person agents. In H.S. Mahmassani, editor, Transportation and Traffic Theory, Flow, Dynamics and Human Interaction: Proceedings of the 16th International Symposium on Transportation and Traffic Theory, pages 565-584, Oxford, UK, 2005. Elsevier. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[139] Eric J. Miller. Propositions for modelling household decision-making. In Martin Lee-Gosselin and Sean T. Doherty, editors, Integrated Land-Use and Transportation Models: Behavioural Foundations, pages 21-60. Elsevier, Oxford, UK, 2005. [ bib ]
Keywords: travel behaviour, transport modelling, ilute
[140] Eric J. Miller, L.S. Cheah, and K.S. Fan. Development of an operational peak-period mode split model for Metropolitan Toronto. Technical report, Department of Civil Engineering, University of Toronto, Toronto, ON, Canada, March 1992. [ bib ]
Keywords: canada, transport modelling
[141] Eric J. Miller and Antoine Haroun. A microsimulation model of residential housing markets. In Proceedings of the Ninth International Association of Travel Behaviour Research Conference, Gold Coast, Australia, July 2000. [ bib ]
Keywords: ilute, transport modelling, urban planning
[142] Eric J. Miller and John Douglas Hunt. Integrated Land Use, Transportation and Environment (ILUTE) modeling in Canada. In Presented at the Third Oregon Symposium on Integrated Land Use and Transport Models, Portland, OR, USA, July 2002. [ bib | www: ]
Keywords: transport modelling, ilute, land use transport link
[143] Eric J. Miller, John Douglas Hunt, John Edward Abraham, and Paul A. Salvini. Microsimulating urban systems. Computers, Environment and Urban Systems, 28(1):9-44, January 2004. [ bib ]
This paper presents a status report concerning on-going research and development work by a team of Canadian researchers to develop a microsimulation, agent-based, integrated model of urban land use and transportation. It describes in some detail the overall design and current status of the ILUTE (Integrated Land Use, Transportation, Environment) modelling system under development. The overall purpose of ILUTE is to simulate the evolution of an entire urban region over an extended period of time. Such a model is intended to replace conventional, aggregate, static models for the analysis of a broad range of transportation, housing and other urban policies. Agents being simulated in the model include individuals, households and establishments. The model operates on a “100% sample” (i.e., the entire population) of agents which, in the base case, are synthesized from more aggregate data such as census tables and which are then evolved over time by the model. A range of modelling methods are employed within the modelling system to represent individual agents' behaviours, including simple state transition models, random utility choice models, rule-based “computational process” models, and hybrids of these approaches. A major emphasis within ILUTE is the development of microsimulation models of market demand-supply interactions, particularly within the residential and commercial real estate markets. In addition, travel demand is modelled explicitly as the outcome of a combination of household and individual decisions concerning the participation in out-of-home activities over the course of a day. Spatial entities in the model include buildings, residential dwelling units and commercial floorspace, as well as aggregate “spatial containers” such as traffic zones, census tracts or grid cells.

Good references: ConLaw02, VelKapTim00, VosPetDon02.

Their discussion of spatial representation is interesting, and echos (somewhat) my own thoughts on the subject. They have two sections: one on residential representation and one on representations for firms. I'm curious to see how far they've come in the last few months.

They discuss real estate markets, with zonal average prices. Offers can have individual prices, though, overriding zonal averages. It seems that this idea would mesh better with building-based spatial representation-grid based representation makes it hard to store data like “sale price” or compute zonal averages.

I'm a bit baffled by their commercial development model. The grid-based approach they used seems to be based on cellular automata, using logit models for state transitions. But they don't consider adjacency information, which seems like it would be essential for firms-who wants floorspace divided into a random patchwork? Can you really just rearrange floorspace as needed?

Their closing paragraphs are encouraging: they really don't want zones, anywhere.

Keywords: transport modelling, ilute, spatial modelling
[144] Eric J. Miller, David S. Kriger, and John Douglas Hunt. Integrated urban models for simulation of transit and land use policies. Web Document 9, Transportation Cooperative Research Program, Transportation Research Board, Washington, D.C., USA, 1998. [ bib |

detailed annotation

 | .pdf ]
Keywords: transport modelling, ilute, transit, land use transport link
[145] Eric J. Miller, David S. Kriger, and John Douglas Hunt. Integrated urban models for simulation of transit and land use policies: guidelines for implementation and use. Report 48, Transit Cooperative Research Program, Transportation Research Board, Washington, D.C., USA, 1998. [ bib | .pdf ]
Keywords: transport modelling, ilute, transit, land use transport link
[146] Eric J. Miller, David S. Kriger, and John Douglas Hunt. A research and development program for integrated urban models. Transportation Research Record, 1685:169-176, 1999. [ bib ]
The case is presented for a new, coordinated research and development (R&D) program designed to improve significantly the operational state of practice in integrated urban modeling. First, the authors' view of an “ideal” integrated urban modeling system is described. If developed, this modeling system should be capable of incorporating the best possible understanding of transportation and land use interactions and of addressing planning and analysis needs. Also discussed briefly are current operational modeling capabilities as related to the proposed ideal model. Finally, a multiyear R&D program that was designed to move current practice significantly toward the operationalization of the ideal model is detailed.

Keywords: transport modelling, ilute, land use transport link, transit
[147] Eric J. Miller, Peter J. Noehammer, and David R. Ross. A microsimulation model of residential mobility. In W. Young, editor, Proceedings of the International Symposium on Transport, Communication and Urban Form: 2 Analytical Techniques and Case Studies, pages 217-234, Clayton, Australia, 1987. [ bib ]
Keywords: transport modelling, ilute
[148] Eric J. Miller and Morton O'Kelly. Estimating shopping destination choice models from travel diary data. Professional Geographer, 35(4):440-449, 1983. [ bib ]
Keywords: transport modelling, shopping, destination choice
[149] Eric J. Miller and Matthew J. Roorda. A prototype model of 24-hour household activity scheduling for the Toronto Area. Transportation Research Record, 1831:114-121, 2003. [ bib ]
Keywords: transport modelling, ilute, canada, travel behaviour
[150] Eric J. Miller and Matthew J. Roorda. A prototype model of household activity/travel scheduling. In Presented at the 82nd Annual Meeting of the Transportation Research Board, Washington, D.C., USA, January 2003. [ bib | .pdf ]
Keywords: transport modelling, ilute, travel behaviour
[151] Eric J. Miller, Matthew J. Roorda, and Juan A. Carrasco. A tour-based model of travel mode choice. In Proceedings of the 10th International Conference on Travel Behavior Research, Lucerne, Switzerland, August 2003. [ bib | .pdf ]
Interesting and useful.

I find one assumption dubious: the decision to use a car for one part of a chain requires its use for the rest of the chain. In a city like Toronto where downtown parking is very inconvenient, I might drive downtown, park, and then do a long chain of trips on foot before returning to the car.

Keywords: transport modelling, ilute, travel behaviour
[152] Eric J. Miller, Matthew J. Roorda, and Juan A. Carrasco. A tour-based model of travel mode choice. Transportation, 32(4):399-422, July 2005. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[153] Eric J. Miller, Matthew J. Roorda, Murtaza Haider, and Abolfazl Mohammadian. An empirical analysis of travel and housing expenditures in the Greater Toronto Area. Transportation Research Record, 1898:191-201, 2004. [ bib ]
Keywords: transport modelling, ilute, canada, urban planning, transport planning
[154] Eric J. Miller, Matthew J. Roorda, Christopher A. Kennedy, Amer S. Shalaby, and Heather L. MacLean. Activity-based, multi-modal modelling of travel behaviour for urban design. Final project report to Transport Canada, Joint Program in Transportation, University of Toronto, Toronto, ON, Canada, May 2006. [ bib ]
Keywords: ilute, transport modelling, travel behaviour
[155] Eric J. Miller and Paul A. Salvini. The Integrated Land Use, Transportation, Environment (ILUTE) modeling system: A framework. In Presented at the 77th Annual Meeting of the Transportation Research Board, Washington, D.C., USA, January 1998. [ bib ]
Keywords: transport modelling, ilute
[156] Eric J. Miller and Paul A. Salvini. The Integrated Land Use, Transportation, Environment (ILUTE) modeling system: Description & current status. In D. Hensher, editor, The Leading Edge in Travel Behaviour Research, pages 711-724. Pergamon, Amsterdam, The Netherlands, 2001. [ bib ]
Keywords: transport modelling, ilute
[157] Edwin S. Mills. Markets and efficient resource allocation in urban areas. Swedish Journal of Economics, 74:100-113, 1972. [ bib ]
early 2D model of city
Keywords: urban economics, transport modelling
[158] Rolf Moeckel, Carsten Schürmann, K. Spiekermann, and Michael Wegener. Microsimulation of land use. International Journal of Urban Sciences, 7(1):14-31, 2003. [ bib ]
Keywords: transport modelling, spatial modelling
[159] Rolf Moeckel, Carsten Schürmann, and Michael Wegener. Microsimulation of urban land use. In Proceedings of the 42nd Congress of the European Regional Science Association, Dortmund, Germany, 2002. European Regional Science Assocation. [ bib | .pdf ]
The project ILUMASS (Integrated Land-Use Modelling and Transportation System Simulation) aims at embedding a microscopic dynamic simulation model of urban traffic flows into a comprehensive model system incorporating both changes of land use and the resulting changes in transport demand.

The land-use component of ILUMASS will be based on the land-use parts of an existing urban simulation model, but is to be microscopic like the transport parts of ILUMASS. Microsimulation modules will include models of demographic development, household formation, firm lifecycles, residential and non-residential construction, labour mobility on the regional labour market and household mobility on the regional housing market. These modules will be closely linked with the models of daily activity patterns and travel and goods movements modelled in the transport parts of ILUMASS developed by other partners of the project team. The design of the land use model takes into account that the collection of individual micro data (i.e. data which because of their micro location can be associated with individual buildings or small groups of buildings) or the retrieval of individual micro data from administrative registers for planning purposes is neither possible nor, for privacy reasons, desirable. The land use model therefore works with synthetic micro data which can be retrieved from generally accessible public data.

ILUMASS is a group project of institutes of the universities of Aachen, Bamberg, Dortmund, Cologne and Wuppertal under the co-ordination of the Transport Research Institute of the German Aerospace Centre (DLR). Study region for tests and first applications of the model is the urban region of Dortmund. The common database will be compiled in co-operation with the City of Dortmund. After its completion the integrated model is to be used for assessing the impacts of potential transport and land use policies for the new land use plan of the city.

The paper will focus on the land-use parts of the ILUMASS model. It will present the underlying behavioural theories and how they are made operational in the model design, explain how the synthetic population is generated, show first model results and demonstrate the potential usefulness of the model for the planning process.

Interesting. They've adapted the IRPUD land use project for a new integrated model. They do some major rasters (200 000 cells) for some of their lookups, although they're also interested in environmental indicators as well as transport results. They don't operate on a parcel-level due to local privacy legislation; instead they work on a zonal level, combined with a density plot of unknown detail.
Keywords: transport modelling, spatial modelling, land use transport link
[160] Abolfazl Mohammadian. Dynamic Modelling of Household Automobile Transactions within a Microsimulation Framework. PhD thesis, University of Toronto, Department of Civil Engineering, Toronto, ON, Canada, 2001. [ bib ]
Keywords: transport modelling, ilute
[161] Abolfazl Mohammadian and Eric J. Miller. A comprehensive and operational modeling framework for automobile ownership in an integrated land-use, transportation and environment modeling system. In Proceedings of the 3rd Transportation Specialty Conference of CSCE, London, ON, Canada, June 2000. [ bib ]
Keywords: transport modelling, ilute
[162] Abolfazl Mohammadian and Eric J. Miller. Nested logit models and artificial neural networks for predicting household automobile choices. Transportation Research Record, 1807:92-100, 2002. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[163] Abolfazl Mohammadian and Eric J. Miller. Dynamic modeling of household automobile transactions. Transportation Research Record, 1831:98-105, 2003. [ bib | .pdf ]
Keywords: transport modelling, ilute
[164] Abolfazl Mohammadian and Eric J. Miller. An empirical investigation of household vehicle type decisions. Transportation Research Record, 1854:99-106, 2003. [ bib | .pdf ]
Not very useful for my purposes, although I'm sure anyone interested in emissions analysis might appreciate it. It's curious that gasoline prices aren't considered a relevant variable.
Keywords: transport modelling, ilute
[165] F. Navin. Bicycle traffic flow characteristics: experimental results and comparisons. Institute of Transportation Engineers Journal, 64(3):31-36, 1994. [ bib ]
Keywords: bicycle planning, transport modelling
[166] J.W. Neff. Substitution rates between transit and automobile travel. In Paper presented at the Association of American Geographers' Annual Meeting, Charlotte, NC, USA, April 1996. [ bib ]
Keywords: transit, transport modelling
[167] Daiheng Ni, John D. Leonard II, Angshuman Guin, and Billy M. Williams. Systematic approach for validating traffic simulation models. Transportation Research Record, 1876:20-31, 2004. [ bib ]
Keywords: transport modelling
[168] D.A. Niemeier. Longitudinal analysis of bicycle count variability: Results and modelling implications. Journal of Transportation Engineering, pages 200-206, May/June 1996. [ bib ]
Keywords: bicycle planning, transport modelling
[169] Michael Noth, Alan Borning, and Paul Waddell. An extensible, modular architecture for simulating urban development, transportation and environmental impacts. Computers, Environment and Urban Systems, 27(2):181-203, March 2003. [ bib ]
Keywords: transport modelling, spatial modelling, urban economics
[170] Morton O'Kelly, Kai Nagel, and Sean T. Doherty. Microsimulation and the activity scheduling process: Views from the STELLA workshop. Internet, May 2003. [ bib | .pdf ]
Keywords: transport modelling, computer science
[171] Timothy George Oketch. New modeling approach for mixed-traffic streams with nonmotorized vehicles. Transportation Research Record, 1705:61-69, 2000. [ bib | .pdf ]
Keywords: bicycle planning, transport modelling
[172] G.H. Orcutt, M. Greenberger, J. Korbel, and A. Rivlin. Microanalysis of Socio-economic Systems: a simulation study. Harper & Row, New York City, NY, USA, 1961. [ bib ]
Keywords: urban economics, transport modelling
[173] A. Oskamp. Local housing market simulation: a micro approach. Thesis publishing, Amsterdam, The Netherlands, 1997. [ bib ]
Keywords: transport modelling, spatial modelling
[174] Pnina O. Plaut. Non-commuters: the people who walk to work or work at home. Transportation, 31(2):229-255, May 2004. [ bib ]
So... patronising. From the title (“non-commuters”) onwards, the author treats walking as an exotic eccentricity: “While fascinating, exotic and possibly romantic, little is known about those who “refuse” to use the two main modes of travel.” The author does note that Eas99 found that motorized travel models cannot be easily applied to nonmotorized travel. The analysis is confused by the antiquated sexist division of the Israeli census into “heads of household” and “spouse of head” categories. The author makes little attempt to unify the analysis of these categories, and falls into rambling about walkers being “poorer and less educated” than commuters, instead of doing a breakdown by income group and comparing trends within each group, or making a reasonable effort to guess at causes. Okay, I'm reacting very negatively to the article, and I'm not giving it a fair shake, but the tone and language really irritated me.
Keywords: pedestrian planning, transport modelling
[175] Winnie Poon. An investigation into residential relocation rules and processes. Master's thesis, University of Toronto, Department of Civil Engineering, Toronto, ON, Canada, 2002. [ bib ]
Keywords: ilute, transport modelling
[176] Christopher Porter, John Suhrbier, and William L. Schwartz. Forecasting bicycle and pedestrian travel: State of the practice and research needs. Transportation Research Record, 1674:94-101, 1999. [ bib | .pdf ]
Keywords: bicycle planning, transport modelling
[177] Anant Pradhan and Kara Maria Kockelman. Error propagation in an integrated land use-transportation modeling framework: Output variation via UrbanSim. Transportation Research Record, 1805, 2002. [ bib | DOI | .pdf ]
This study examines the impact of uncertainty in the land use component of a partially integrated land use-transportation modeling system called UrbanSim. Outputs from the land use model (LUM) act as inputs for a traditional 4-step travel demand model (TDM), and travel times from the traffic-assignment stage of the TDM are fed forward into the subsequent years LUM. This work examines the propagation of uncertainty across model stages as well as at each model stage over time. A factorized design approach is used to model uncertainty in demographic inputs (which include aggregate growth rates and mobility rates) to the land use model, as well as uncertainty in various model parameters. The results suggest that while several model inputs may affect model outputs in the short run, only those inputs that have a cumulative effect are likely to have a significant impact on outputs in the long run. The results also suggest that uncertainty in model outputs may increase for the first few years for which the model is run, as modified inputs send shocks through the urban system. However, the level of uncertainty appears to come down in later years, as households, jobs, and developers respond to changed input conditions

Keywords: transport modelling
[178] P. Prastacos. An integrated land use-transportation model for the San Francisco region. Environment and Planning A, 18:307-322 and 511-528, 1986. [ bib ]
Keywords: transport modelling
[179] Poulicos Prastacos and Manolis Diamandakis. Applying GIS technology in operational urban models. In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 223-234. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling, transport modelling
[180] A. Pushkar. Modelling household residential search processes: methodology and preliminary results of an original survey. Master's thesis, University of Toronto, Department of Civil Engineering, Toronto, ON, Canada, 1998. [ bib ]
Keywords: ilute, transport modelling
[181] S. Putman. Integrated Urban Models: Policy Analysis of Transportation and Land Use. Pion, London, UK, 1983. [ bib ]
Keywords: transport modelling, land use transport link
[182] S. Putman. Integrated Urban Models 2: New Research and Applications of Optimization and Dynamics. Pion, London, UK, 1991. [ bib ]
Keywords: transport modelling
[183] Stuart Ramsey. Of mice and elephants. Institute of Transportation Engineers Journal, 75(9):38-41, September 2005. [ bib ]
Keywords: transport modelling, land use transport link, urban form
[184] Bryan Raney, Andreas Voelimy, Nurhan Cetin, and Kai Nagel. Large scale multi-agent transportation simulation. In Proceedings of the 42nd Congress of the European Regional Science Association, Dortmund, Germany, 2002. European Regional Science Assocation. [ bib | .pdf ]
In a multi-agent transportation simulation, each traveler is represented individually. Such simulation consist of at least the following modules: - Activity generation. For each traveler in the simulation, a complete 24-hour day-plan is generated, with each major activity (sleep, eat, work, shop, drink beer), their times, and their locations.

- Modal and route choice. For each traveler in the simulation, the mode of transportation and the actual routes are computed.

- The Traffic simulation itself. In this module, the travelers are moved through the system, via the transportation mode they have chosen. A reasonably realistic traffic dynamics is necessary to include dynamic effects such as queue built-up.

- Learning and feedback. In order to find solutions which are consistent between the modules (congestion is a result of plans, but plans are made in anticipation of congestion), a standard relaxation technique is used. This technique has similarities to day-to-day human learning and can also be interpreted that way.

It is clear that further modules need to be added, such as for housing and land use, but also for freight traffic.

The important point of doing rule-based microscopic simulations is that it is possible to experiment with arbitrary behavioral rules, going all the way from simple learning heuristics to rational agent That is, one is not bound by, e.g., mathematical constraints. It is for example possible to construct, for each individual agent, a large set of plans (“strategies”) and have the agent select between these strategies, based on past performance, or construct a new strategy. This allows, for example, to evaluate performance according to individual preferences. It also allows to have, for each agent, an only partial knowledge of the world, which may be different for each agent, and may be changed via exploration (“mental maps”).

Using advanced computational methods, in particular parallel computing, it is now possible to do this for large metropolitan areas with 10 million inhabitants or more. We are currently working on such a simulation of all of Switzerland. Our focus is on a computationally efficient implementation of the agent-based representation, which means that we in fact represent each agent with an individual set of plans as explained above. We use a data base to store the agent's strategies, then load them into the simulation modules as required, and feed back individual performance measures into the data base. This approach allows that additional modules can be coupled easily, and without destroying computational performance.

Since the above only models day-to-day replanning, we also look at within-day replanning, which means that travelers can change plans during travel. In particular, we look at efficient distributed implementations of this. It turns out that computational efficiency is closely related to the real-world mechanics of the distributed intelligence inherent in the real world system.

Keywords: transport modelling, computer science
[185] G. Rindsfüser, H. Mühlhans, Sean T. Doherty, and K.J. Beckmann. Tracing the planning and execution of activities and their attributes: design and application of a hand-held scheduling process survey. In Proceedings of the 10th International Conference on Travel Behaviour Research, Lucerne, Switzerland, 2003. [ bib ]
Keywords: transport modelling, ilute
[186] Daniel A. Rodríguez and Joonwon Joo. The relationship between non-motorized mode choice and the local physical environment. Transportation Research D, 9(2):151-173, 2004. [ bib ]
By estimating multinomial choice models, this paper examines the relationship between travel mode choice and attributes of the local physical environment such as topography, sidewalk availability, residential density, and the presence of walking and cycling paths. Data for student and staff commuters to the University of North Carolina in Chapel Hill are used to illustrate the relationship between mode choice and the objectively measured environmental attributes, while accounting for typical modal characteristics such as travel time, access time, and out-of-pocket cost. Results suggest that jointly the four attributes of the local physical environment make significant marginal contributions to explaining travel mode choice. In particular, the estimates reveal that local topography and sidewalk availability are significantly associated with the attractiveness of non-motorized modes. Point elasticities are provided and recommendations given regarding the importance of incorporating non-motorized modes into local transportation planning and in the study of how the built environment influences travel behavior.

Keywords: pedestrian planning, bicycle planning, urban design, transport planning, transport modelling, land use transport link
[187] Matthew J. Roorda. Toronto Area car ownership study: A retrospective interview and its applications. Master's thesis, University of Toronto, Department of Civil Engineering, Toronto, ON, Canada, 1998. [ bib ]
Keywords: transport modelling, ilute, canada
[188] Matthew J. Roorda, Juan A. Carrasco, and Eric J. Miller. A joint model of car ownership and activity scheduling. In Presented at the 11th International Association for Travel Behaviour Research Conference, Kyoto, Japan, August 2006. [ bib ]
Keywords: travel behaviour, transport modelling, ilute
[189] Matthew J. Roorda, Sean Doherty, and Eric J. Miller. Operationalising household activity scheduling models: Addressing assumptions and using new sources of behavioural data. In Martin Lee-Gosselin and Sean T. Doherty, editors, Behavioural Foundations of Integrated Land-Use and Transportation Models: Assumptions and New Conceptual Frameworks. Elsevier, New York City, NY, USA, 2005. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[190] Matthew J. Roorda and Eric J. Miller. Strategies for resolving activity scheduling conflicts: An empirical analysis. In Proceedings of the EIRASS Conference on Progress in Activity-Based Analysis, Maastricht, The Netherlands, May 2003. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[191] Matthew J. Roorda and Eric J. Miller. Toronto activity panel survey: Demonstrating the benefits of a multiple instrument panel survey. In Proceedings of the Seventh International Conference on Travel Survey Methods, Costa Rica, August 2004. [ bib ]
Keywords: transport modelling, ilute, canada
[192] Matthew J. Roorda and Eric J. Miller. Strategies for resolving activity scheduling conflicts: An empirical analysis. In Harry J.P. Timmermans, editor, Progress in Activity-Based Analysis, pages 203-222. Elsevier, Oxford, UK, 2005. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[193] Matthew J. Roorda, Eric J. Miller, and Nick Kruchten. Incorporating within-household interactions into a mode choice model using a genetic algorithm for parameter estimation. Transportation Research Record, forthcoming, 2006. [ bib ]
Keywords: transport modelling, ilute, travel behaviour
[194] Matthew J. Roorda, Abolfazl Mohammadian, and Eric J. Miller. Toronto Area car ownership study: A retrospective interview and its applications. Transportation Research Record, 1719:69-76, 2000. [ bib ]
Recent work in the area of comprehensive transportation modeling systems in a microsimulation framework, more specifically auto ownership modeling, has recognized the need for increased experimentation with dynamic models. Implicitly, dynamic models require longitudinal data. A Toronto area car ownership study was conducted to design and administer a longitudinal survey to fulfill the data requirements for such a dynamic model, to validate the survey results, and to conduct preliminary analysis on those results. An in-depth retrospective telephone survey was conducted with the help of a computer aid in Toronto, Canada. Simple univariate analyses were conducted on the data to determine the relationship between characteristics of the household and the occurrence of vehicle transactions, the choice of vehicle type, the duration a vehicle is held, and the degree of consumer loyalty to different types of vehicles.

I read this after Mohammadian's later papers. It looks like they did collect home/employer locations during the surveys-why didn't they use this information?
Keywords: transport modelling, ilute, canada
[195] William Ross. Mobility and accessibility: The yin and yang of planning. World Transport Policy and Practice, 6(2), 2000. [ bib | .pdf ]
The concepts `accessibility' and `mobility' are central to urban and transport planning, and although they are often used interchangeably, they convey fundamentally different concepts. For example, mobility, especially when excessive, can have a negative connotation, whereas accessibility is always seen as making a positive contribution to a community. In investigating the relationship between mobility and accessibility it emerges that planning policies which favour the one, act against the other, and the two can be seen as opposites.

Keywords: transport modelling, accessibility
[196] Paul A. Salvini. Design and development of the ILUTE operational prototype: a comprehensive microsimulation model of urban systems. PhD thesis, University of Toronto, Department of Civil Engineering, Toronto, ON, Canada, 2003. [ bib ]
Keywords: transport modelling, ilute
[197] Paul A. Salvini and Eric J. Miller. ILUTE: An operational prototype of a comprehensive microsimulation model of urban systems. In Proceedings of the 10th International Conference on Travel Behavior Research, Lucerne, Switzerland, August 2003. [ bib | .pdf ]
Keywords: transport modelling, ilute
[198] Paul A. Salvini and Eric J. Miller. ILUTE: An operational prototype of a comprehensive microsimulation model of urban systems. Networks and Spatial Economics, 5:217-234, 2005. [ bib ]
Keywords: transport modelling, ilute
[199] Paul Schimek. Household motor vehicle ownership and use: How much does residential density matter? Transportation Research Record, 1552:120-125, 1996. [ bib ]
Keywords: transport modelling, transport planning, urban form, land use transport link
[200] Corinne Schuster, Sean Doherty, Matthew J. Roorda, James Khan, Ron Buliung, Murtaza Haider, and John Douglas Hunt. Disaggregate behaviour in urban areas: a review of the theories, approaches and models. In International Colloqium on the Behavioural Foundations of Integrated Land-Use and Transportation Models: Assumptions and New Conceptual Frameworks, Quebec City, QC, Canada, June 2002. [ bib ]
This paper will explore disaggregate approaches to modeling urban systems, organizing recent research, approaches, techniques and assumptions. As we know, the advantage of disaggregate approaches are that they begin with the individual, the finest resolution, enabling aggregation without losing valuable information. There is no single modeling technique that can provide a useful simulation of individual behaviour within the urban system. Instead, a variety of approaches must be integrated within a macro model. Each has differing assumptions, strengths and weaknesses. The paper will establish the players, decisions made and outcomes of modeling urban systems. Given these categories, a review of current literature demonstrates the emerging approaches for different aspects of the urban system model, identifies strengths and weaknesses and examines underlying assumptions and data collection techniques.

Keywords: transport modelling, ilute
[201] R. Sharples. Modelling cyclists in SATURN. Traffic Engineering and Control, 34:472-475, 1993. [ bib ]
Keywords: bicycle planning, transport modelling
[202] David C. Simmonds, Marcial Echnique, and Partners Limited. Review of land-use/transport interaction models. Technical report, Department of the Environment, Transport and the Regions, London, UK, 1999. [ bib | .pdf ]
Keywords: transport modelling
[203] Ryan Snyder. Models, shmodels: Why can't we accept the reality of uncertainty? In Proceedings of Pro Walk/Pro Bike 2004, Victoria, BC, Canada, 2004. [ bib | http ]
Keywords: bicycle planning, transport modelling
[204] Frank Southworth. A technical review of urban land use-transportation models as tools for evaluating vehicle travel reduction strategies. Technical Report ORNL/M-4801, Oak Ridge National Laboratory, Oak Ridge, TN, USA, 1995. [ bib | .pdf ]
Keywords: transport modelling
[205] Klaus Spiekermann and Michael Wegener. Trans-European networks and unequal accessibility in Europe. European Journal of Regional Development, 4:35-42, 1996. [ bib ]
Keywords: transport modelling
[206] Klaus Spiekermann and Michael Wegener. Freedom from the tyranny of zones: Towards new GIS-based spatial models. In A. Stewart Fotheringham and Michael Wegener, editors, Spatial Models and GIS: New Potential and New Models, pages 45-61. Taylor and Francis, London, UK, 2000. [ bib |

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Keywords: geographic information systems, spatial modelling, transport modelling, equity
[207] Harry J.P. Timmermans. The saga of integrated land use-transport modeling: How many more dreams before we wake up? In Proceedings of the 10th International Conference on Travel Behavior Research, Lucerne, Switzerland, August 2003. [ bib | .pdf ]
He makes some very valid criticisms of integrated transportation/land use models. He has four things in particular that he'd like to see done: induction of principles of spatial behaviour; development of context and domain-specific behavioural models, where he complains about the use of multinomial logit models for residential location decisions, despite the fact that most households have very limited information and housing literature gives better models; development of truly integrated models, instead of cobbling together existing models and all of their assumptions; modelling of spatial planning and its effects on urban form, including P3s.
Keywords: transport modelling, ilute, land use transport link
[208] P.M. Torrens. Can geocomputation save urban simulation? Throw some agents in the mixture, simmer, and wait... Working Paper 32, Centre for Advanced Spatial Analysis, University College London, 2001. [ bib ]
Keywords: transport modelling, computer science
[209] K.J. Veldhuisen, L.L. Kapoen, and Harry J.P. Timmermans. RAMBLAS: a regional planning model based on the micro-simulation of daily activity patterns. Environment and Planning A, 31:427-443, 2000. [ bib ]
Keywords: transport modelling
[210] P. Vovsha, E. Peterson, and R. Donnelly. Micro-simulation in travel demand modeling: lessons learned from New York `best practices' model. Transportation Research Record, 1805, 2002. [ bib | DOI ]
Keywords: transport modelling
[211] Martin Wachs. When planners lie with numbers. Journal of the American Planning Association, 55(4):476-479, 1989. [ bib ]
“You're the expert,” says the client. “If you can't produce an estimate, nobody can.” “I'm not paying you for guesses,” says the supervisor. “Where are the facts to back up your position?” I once told a client that I could not in good conscience produce a forecast of the daily use of a proposed facility because there had never been a facility of that type in the region, and there was no experience on which to base a forecast. I was told, without even a pretense of politeness, “If you won't forecast, I'll get another consultant.” Another consultant was hired, and a forecast was made and paid for. Should the forecast be considered a good technical estimate, or a fiction produced to garner a fee by pleasing the client?
Keywords: transport planning, urban planning, transport modelling
[212] Paul Waddell. An urban simulation model for integrated policy analysis and planning: Residential location and housing market components of UrbanSim. In Proceedings of the 8th World Conference on Transport Research, Antwerp, Belgium, July 1998. [ bib ]
Keywords: transport modelling
[213] Paul Waddell. UrbanSim: Modeling urban development for land use, transportation and environmental planning. Journal of the American Planning Association, 68(3):297-314, 2002. [ bib ]
Interesting. Waddell gives a nod to Miller's 98 TRCP paper, generally agreeing that it's a good description of an “ideal model.” Waddell's model definitely tries to do a better job than earlier models, but the simulation may still be too coarse to achieve its goals. There is no modelling of the household, or much modelling of decision-making procedures within the household. They use the same one-year timestep as Miller, but only a five-year timestep for calculation of the transportation network. Their ability to deal with other modes is seriously limited - while disaggregation brings the scale down to a reasonable level, they don't model automobile ownership, one of the key decisions. They note the difficulty of validation against historical data; even with a relatively stable period (1980-1994, little job or pop changes), there's a fair bit of difference between their model and others' models. And of course they can't hope to predict big changes - like Weyerhaueser closing a plant. They're also still fairly cellular automata based - transition rules instead of behavioural modelling.
Keywords: transport modelling, transport planning, urban planning, land use transport link
[214] Paul Waddell, Alan Borning, Michael Noth, Nathan Freier, Michael Becke, and Gudmundur F. Ulfarsson. Microsimulation of urban development and location choices: Design and implementation of UrbanSim. Networks and Spatial Economics, 3(1):43-67, 2003. [ bib ]
Keywords: urban economics, spatial modelling, transport modelling
[215] Paul Waddell and Firouzeh Nourzad. Incorporating non-motorized mode and neighborhood accessibility in a land use and transportation model system. Transportation Research Record, 1805, 2002. [ bib | DOI ]
Some strange assumptions: a priori assumption that households prefer lower density; no room for changes in number of automobiles!
Keywords: transport modelling
[216] Paul Waddell and Gudmundur F. Ulfarsson. Introduction to urban simulation: Design and development of operational models. In P. Stopher, K. Button, K. Kingsley, and D. Hensher, editors, Handbook in Transport, volume 5: Transport Geography and Spatial Systems, pages 204-236. Pergamon Press, Elmsford, NY, USA, 2004. [ bib ]
Interesting background notes on the municipal interest in modeling - lawsuits from Sierra Club and others. I should compare Figure 3 vs. ILUTE's structure. Lots of good background on different modeling strategies. Claims that there is no evidence that aggregate data is less error-prone than disaggregate data. They show a very rough breakdown into submodels.
Keywords: transport modelling, land use transport link
[217] G. Walters, Reid Ewing, and W. Schroeer. Adjusting computer modeling tools to capture effects of smart growth, or poking at the project like a lab rat. Transportation Research Record, 1722:17-26, 2000. [ bib ]
Keywords: land use transport link, transport modelling
[218] Mark Wardman. Stated preference surveys and travel demand forecasting: an examination of the scale factor problem. Transportation Research A, 25:79-89, 1991. [ bib ]
Keywords: transport modelling
[219] Mark Wardman. Public transport values of time. Transport Policy, 11:363-377, 2004. [ bib ]
Keywords: transport modelling, transit modelling
[220] B. Warf. Separated at birth? regional science and social theory. International Regional Science Review, 18(2):185-194, 1995. [ bib ]
Keywords: transport planning, transport modelling
[221] Michael Wegener. Operational urban models: state of the art. Journal of the American Planning Association, 60(1):17-29, 1994. [ bib ]
Keywords: transport modelling
[222] Michael Wegener. Current and future land use models. In G.A. Shunk et al., editor, Travel Model Improvement Program Land Use Modeling Conference Proceedings, pages 13-40, Washington, D.C., USA, 1995. Travel Mode Improvement Program. [ bib ]
Keywords: transport modelling
[223] Michael Wegener. Applied models of urban land use, transport and environment: state-of-the-art and future developments. In L. Lundqvist, L.-G. Mattsson, and T.J. Kim, editors, Network Infrastructure and the Urban Environment: Recent Advances in Land use/Transportation Modelling, pages 245-267. Springer Verlag, Berlin, Germany, 1998. [ bib ]
Keywords: transport modelling
[224] Michael Wegener. New spatial planning models. International Journal of Applied Earth Observation and Geoinformation, 3(3):224-237, 2001. [ bib ]
Keywords: spatial modelling, transport modelling
[225] Michael Wegener and F. Fürst. Land-use transport interaction: State of the art. TRANSLAND Integration of Transport and Land Use Planning Deliverable D2a, University of Dortmund, Dortmund, Germany, 1999. [ bib ]
Keywords: transport modelling
[226] Michael Wegener and Klaus Spiekermann. Efficient, equitable and ecological urban structures. In D.A. Hensher and J. King, editors, Proceedings of the 7th World Conference on Transport Research, volume 2, Oxford, UK, 1996. Pergamon. [ bib ]
Keywords: transport modelling, equity
[227] Michael Wegener and Klaus Spiekermann. The potential of microsimulation for urban models. In Graham P. Clarke, editor, Microsimulation for Urban and Regional Policy Analysis, volume 6 of European Research in Regional Science, pages 146-163. Pion, London, UK, 1996. [ bib ]
Keywords: transport modelling
[228] R. Wiedemann. Microscopic Traffic Simulation: The Simulation System Mission. PhD thesis, Universität (TH) Karlsruhe, 1970s. [ bib | .pdf ]
Behavioural model for drivers (and bicyclists?) used by VISSIM simulator
Keywords: transport modelling
[229] R. Wiedemann. Simulation des verkehrsflusses schriftenreihe des instituts für verkehrswesen. Heft 6, Universität (TH) Karlsruhe, 1974. [ bib ]
Behavioural model for drivers (and bicyclists?) used by VISSIM simulator
Keywords: transport modelling
[230] A.G. Wilson. A statistical theory of spatial trip distribution models. Transportation Research, 1:253-269, 1967. [ bib ]
Keywords: transport modelling, urban economics
[231] A.G. Wilson. Land-use/transport interaction models: past and future. Journal of Transport Economics and Policy, 32(1):3-27, 1998. [ bib ]
Keywords: land use transport link, transport modelling

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