@COMMENT{{This file has been generated by bib2bib 1.86}}
@COMMENT{{Command line: /usr/bin/bib2bib -ob people_eric_miller.bib -c 'author: "Eric.*Miller"' ref.bib}}
@ARTICLE{HunMilKri05,
author = {John Douglas Hunt and Eric J.~Miller and David S.~Kriger},
title = {Current Operational Urban Land-Use Transport Modeling
Frameworks},
year = 2005,
month = MAY,
journal = {Transport Reviews},
volume = 25,
number = 3,
pages = {217--234},
status = {read},
keywords = {ilute, transport modelling}
}
@ARTICLE{KenMilShaMacCol05,
author = {Christopher A.~Kennedy and Eric J.~Miller and Amer S.~Shalaby and
Heather L.~Mac{L}ean and Jesse Coleman},
title = {The four pillars of sustainable urban transportation},
year = 2005,
journal = {Transport Reviews},
volume = 25,
number = 4,
pages = {393--414},
abstract = {
The unsustainable nature of current urban transportation and land
use is well recognized. What is less clear is the prescription
for how to move towards a more sustainable future, especially
given the many interest groups involved, the complexity of
urban systems and the fragmented nature of
decision-making in most urban regions. It is argued
that the process of achieving more sustainable
transportation requires suitable establishment of four
pillars: effective governance of land use and
transportation; fair, efficient, stable funding;
strategic infrastructure investments; and attention to
neighbourhood design. A review of each pillar identifies key
issues. The characteristics of an ideal body for governance of
land use and transportation are considered. Trade-offs are
identified with: spatial representation; organizational
structure; democracy; and market philosophy. Effective
financing and pricing of urban transportation may be distorted
because responsibility for infrastructure is separated from
service provision. Financing mechanisms are categorized
depending on vehicle use and location. Investment in
infrastructure for alternative fuel vehicles and intermediate
semi-rapid transit may be required in many cities. Major
investment in public transit infrastructure will likely not
suffice if macro land use and micro neighbourhood designs are
not supportive of these investments.
},
status = {read},
keywords = {transport planning, urban planning, governance, finance, transit, pedestrian planning},
annote = {
A useful read, covering a wide swath of topics, and including many
useful pointers to other papers within each topic. I found the
discussion of financing transportation particularly useful, mostly
because I haven't read much about that topic. Discussion of market
vs. non-market approaches, including P3s, was also valuable. I'm
glad to see discussion of neighbourhood design in the article, a
topic which is familiar and close to my heart.
}
}
@BOOK{MeyMil01,
author = {Michael D.~Meyer and Eric J.~Miller},
title = {Urban Transportation Planning: A Decision-Oriented Approach},
edition = {2nd},
year = 2001,
publisher = {McGraw-Hill},
address = {New York City, NY, USA},
status = {read},
keywords = {transport planning, transport modelling, land use transport link},
annoteurl = { http://davidpritchard.org/sustrans/MeyMil01 }
}
@INCOLLECTION{Mil00,
author = {Eric J.~Miller},
title = {Transportation and Communication},
editor = {Trudi Bunting and Pierre Filion},
booktitle = {{C}anadian Cities in Transition: The Twenty-First Century},
edition = {2nd},
year = 2000,
publisher = {Oxford University Press},
keywords = {canada, urban planning, transport planning},
status = {read}
}
@TECHREPORT{Mil01,
author = {Eric J.~Miller},
title = {The {G}reater {T}oronto {A}rea Travel Demand Modelling System
Version 2.0},
volume = {I: Model Overview},
year = 2001,
institution = {Joint Program in Transportation, University of Toronto},
address = {Toronto, ON, Canada},
keywords = {transport modelling, canada},
status = {read},
annote = {
A clear overview of the classic four-stage transport model, with
applications to Toronto, including more emphasis on multi-modal
trips etc.
}
}
@ARTICLE{Mil02,
author = {Eric Miller},
title = {An Interview with {D}avid {G}unn},
journal = {Rail Travel News},
volume = 31,
number = 10,
year = 2002,
month = OCT,
pages = {14--15},
keywords = {general interest, transit, rail}
}
@UNPUBLISHED{Mil03,
author = {Eric J.~Miller},
title = {{ILUTE}: Historical Evolution, Current Status, Future
Prospects},
year = 2003,
note = {Presentation available online},
url = {http://www.civ.utoronto.ca/sect/traeng/ilute/downloads/friday_seminars/miller_seminar-apr-25-03.pdf},
keywords = {ilute, transport modelling},
status = {read},
annote = {
A good overview of the current status of the ILUTE project.
}
}
@ARTICLE{MilHunAbrSal04,
author = {Eric J.~Miller and John Douglas Hunt and John Edward Abraham and
Paul A.~Salvini},
title = {Microsimulating Urban Systems},
year = 2004,
month = JAN,
journal = {Computers, Environment and Urban Systems},
volume = 28,
number = 1,
pages = {9--44},
abstract = {
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.
},
annote = {
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},
status = {read}
}
@TECHREPORT{MilKriHun98,
author = {Eric J.~Miller and David S.~Kriger and John Douglas Hunt},
title = {Integrated urban models for simulation of transit and land use
policies: guidelines for implementation and use},
type = {Report},
number = 48,
institution = {Transit Cooperative Research Program, Transportation
Research Board},
year = 1998,
address = {Washington, D.C., USA},
keywords = {transport modelling, ilute, transit, land use transport link},
status = {read},
url = {http://gulliver.trb.org/publications/tcrp/tcrp_rpt_48.pdf}
}
@TECHREPORT{MilKriHun98b,
author = {Eric J.~Miller and David S.~Kriger and John Douglas Hunt},
title = {Integrated urban models for simulation of transit and land use
policies},
year = 1998,
type = {Web Document},
number = 9,
institution = {Transportation Cooperative Research Program,
Transportation Research Board},
address = {Washington, D.C., USA},
url = {http://faculty.washington.edu/pwaddell/Models/Tcrp-rep.pdf},
keywords = {transport modelling, ilute, transit, land use transport link},
status = {read},
annoteurl = { http://davidpritchard.org/sustrans/MilKriHun98b/index.html }
}
@ARTICLE{MilSha03,
author = {Eric J.~Miller and Amer S.~Shalaby},
title = {Evolution of Person Travel in the {T}oronto {A}rea and Policy
Implications},
year = 2003,
month = MAR,
journal = {ASCE Journal of Urban Planning and Development},
volume = 129,
number = 1,
keywords = {transport planning, urban planning, canada, transit, urban form},
abstract = {
This paper presents a descriptive analysis of the historical evolution
of personal travel behavior in the Greater Toronto Area (GTA) over
the past 35 years. The analysis indicates that in many respects the
GTA taken as a whole is similar to other cities within North
America in terms of increasing auto ownership; increasing
individual auto-drive trip rates; increasing suburbanization of
population and employment into areas poorly served by transit;
increasingly complex travel patterns; and transit, at best, maintaining
a constant number of trips per capita but losing modal share. The
analysis also highlights ways in which the GTA, particularly the
city of Toronto, deviates from the North American ``norm.'' These
include transit per capita ridership, overall mode splits,
revenue-cost operating ratios are still extremely high by
North American standards; the regional commuter rail
system has been very successful in attracting
increasing numbers of commuters from outside Toronto
into the Toronto central area; the continuing strength
of the Toronto central area has provided a strong,
viable transit service; and more generally, the relatively
high density and transit orientation of development
throughout the city of Toronto is highly supportive of
transit.
},
annote = {
Some very useful background on the transportation context of
Toronto. While I grew up in that city, I actually knew fairly
little about the evolution of its transportation system, so this
was quite useful to me. Not very revolutionary in content (it's
just a basic historical review), but worthwhile; a few good
references (Mee02, Shi97, PucLef96, WriLov02).
},
status = {read}
}
@TECHREPORT{MilSob03,
author = {Eric J.~Miller and Richard M.~Soberman},
title = {Travel Demand and Urban Form},
year = 2003,
institution = {Neptis Foundation},
type = {Issue Paper},
number = 9,
url = { http://www.neptis.org/library/cf_download.cfm?file=travel_demand_nip9.pdf\&path=\\ },
keywords = {transport planning, canada, urban planning, transit, land use transport link, urban form},
status = {read},
annote = {
A good report, with a realistic and progressive vision for the
future. I found the maps comparing Toronto, Square One and Pearson
trip ends extremely interesting (figures II.7 - II.9).
}
}
@ARTICLE{MohMil02b,
author = {Abolfazl Mohammadian and Eric J.~Miller},
title = {Estimating the Expected Price of Vehicles in a Transportation
Microsimulation Modeling System},
year = 2002,
month = NOV,
journal = {Journal of Transportation},
volume = 128,
number = 6,
pages = {537--541},
keywords = {activity-based modelling, ilute, travel behaviour, vehicle ownership},
status = {read},
abstract = {
Microsimulation modeling is an emerging approach to activity-based
travel forecasting. Household automobile-ownership models are
being included in microsimulation travel-demand models more.
Implicitly, vehicle price is an important attribute of vehicles
in all automobile-ownership models. In order to update prices
at each point of time within the simulation, a modeling tool is
required to estimate the price of each vehicle at any time.
This paper develops a hedonic price model to estimate the
expected price of vehicles to be used in a comprehensive
urban-transportation modeling system. In this study, the use of
a linear hedonic price model was investigated in terms of its
application to the market price of automobiles.
},
annote = {
Seems pretty reasonable. It's a little surprising that fuel
economy makes a car less attractive, but I suppose that's typical
of the 1990s vehicle market. Perhaps a repeat of the study today
would show different results. (The price of gas was not a study
variable, and didn't vary much over the period when the data was
collected anyways.)
}
}
@ARTICLE{MohMil03,
author = {Abolfazl Mohammadian and Eric J.~Miller},
title = {Dynamic Modeling of Household Automobile Transactions},
year = 2003,
journal = {Transportation Research Record},
volume = 1831,
pages = {98--105},
url = {http://transportation.northwestern.edu/seminars/03-04/mohammadian112003/MohammadianDynamicAutoTransactions.pdf},
keywords = {transport modelling, ilute},
status = {read}
}
@ARTICLE{MohMil03b,
author = {Abolfazl Mohammadian and Eric J.~Miller},
title = {An Empirical Investigation of Household Vehicle Type
Decisions},
year = 2003,
journal = {Transportation Research Record},
volume = 1854,
pages = {99--106},
url = {http://transportation.northwestern.edu/seminars/03-04/mohammadian112003/MohamadianVehicleTypeChoice.pdf},
keywords = {transport modelling, ilute},
status = {read},
annote = {
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.
}
}
@ARTICLE{RooMohMil00,
author = {Matthew J.~Roorda and Abolfazl Mohammadian and Eric J.~Miller},
title = {{T}oronto {A}rea Car Ownership Study: A Retrospective Interview
and its Applications},
year = 2000,
journal = {Transportation Research Record},
volume = 1719,
pages = {69--76},
abstract = {
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.
},
keywords = {transport modelling, ilute, canada},
status = {read},
annote = {
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?
}
}
@INPROCEEDINGS{SalMil03,
author = {Paul A.~Salvini and Eric J.~Miller},
title = {{ILUTE}: An Operational Prototype of a Comprehensive
Microsimulation Model of Urban Systems},
year = 2003,
month = AUG,
booktitle = {Proceedings of the 10th International Conference on Travel
Behavior Research},
address = {Lucerne, Switzerland},
url = {http://www.ivt.baug.ethz.ch/allgemein/pdf/salvini.pdf},
keywords = {transport modelling, ilute},
status = {read}
}
@ARTICLE{BadMil95,
author = {Daniel A.~Badoe and Eric J.~Miller},
title = {Analysis of Temporal Transferability of Disaggregate Work Trip
Mode Choice Models},
year = 1995,
journal = {Transportation Research Record},
volume = 1493,
pages = {1--11},
keywords = {transport modelling, canada},
abstract = {
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.
}
}
@ARTICLE{BadMil95b,
author = {Daniel A.~Badoe and Eric J.~Miller},
title = {Comparison of Alternative Methods for Updating Disaggregate
Logit Mode Choice Models},
year = 1995,
journal = {Transportation Research Record},
volume = 1493,
pages = {90--100},
keywords = {transport modelling},
abstract = {
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.
}
}
@ARTICLE{BadMil98,
author = {Daniel A.~Badoe and Eric J.~Miller},
title = {An automatic segmentation procedure for studying variations in
mode choice behavior},
year = 1998,
journal = {Journal of Advanced Transportation},
volume = 32,
number = 2,
pages = {190--215},
keywords = {transport modelling, ilute},
abstract = {
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.
}
}
@ARTICLE{BadMil98b,
author = {Daniel A.~Badoe and Eric J.~Miller},
title = {Modeling mode choice with data from two independent
cross-sectional surveys: an investigation},
year = 1998,
journal = {Transportation Planning and Technology},
volume = 21,
pages = {235--261},
keywords = {transport planning, transport modelling, ilute},
abstract = {
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.
}
}
@ARTICLE{BadMil00,
author = {Daniel A.~Badoe and Eric J.~Miller},
title = {Transportation land-use interaction: empirical findings in
{N}orth {A}merica, and their implications for modeling},
year = 2000,
journal = {Transportation Research D},
volume = 5,
number = 4,
pages = {235--263},
keywords = {transport modelling, ilute, land use transport link}
}
@ARTICLE{BerGalMilWol87,
author = {M.K.~Berkowitz and N.T.~Gallini and Eric J.~Miller and
R.A.~Wolfe},
title = {Forecasting Vehicle Holdings and Usage with a Disaggregate
Choice Model},
year = 1987,
journal = {Journal of Forecasting},
volume = 6,
number = 4,
pages = {249--269},
keywords = {vehicle ownership, discrete choice modelling}
}
@ARTICLE{BerGalMilWol90,
author = {M.K.~Berkowitz and N.T.~Gallini and Eric J.~Miller and
R.A.~Wolfe},
title = {Disaggregate Analysis of the Demand for Gasoline},
year = 1990,
month = MAY,
journal = {Canadian Journal of Economics},
volume = 23,
number = 2,
pages = {253--275},
keywords = {energy}
}
@ARTICLE{CarMil06,
author = {Juan A.~Carrasco and Eric J.~Miller},
title = {Exploring the Propensity to perform social activities: A
social network approach},
year = 2006,
journal = {Transportation},
volume = 33,
pages = {463--480},
keywords = { transport modelling }
}
@INPROCEEDINGS{CarMilWel06,
author = {Juan A.~Carrasco and Eric J.~Miller and B.~Wellman},
title = {The Interaction Between Spatial and Social Networks: The Case
of Social Activity-Travel},
year = 2006,
month = AUG,
booktitle = {Presented at the 11th International Association for Travel
Behaviour Research Conference},
address = {Kyoto, Japan},
keywords = {travel behaviour, transport modelling, ilute}
}
@ARTICLE{CubMil82,
author = {Adil Cubukgil and Eric J.~Miller},
title = {Occupational status and the Journey-to-Work},
year = 1982,
journal = {Transportation},
volume = 11,
number = 3,
month = SEP,
doi = {10.1007/BF00172652},
pages = {251--276},
keywords = {transport modelling, demographics}
}
@INPROCEEDINGS{DohAxhGar98,
author = {Sean T.~Doherty and Kay W.~Axhausen and Tommy G{\"a}rling and
Eric J.~Miller},
title = {A Conceptual Model of the Weekly Household Activity-Travel
Scheduling Process},
year = 1998,
month = APR,
booktitle = {Network on European Communications and Transport
Activities Euroconference},
address = {Israel},
keywords = {transport modelling, ilute, travel behaviour}
}
@INPROCEEDINGS{DohMil97,
author = {Sean T.~Doherty and Eric J.~Miller},
title = {Tracing the household activity scheduling process using a one
week computer-based survey},
booktitle = {Proceedings of the International Association of Travel
Behavior Research: Challenges and Opportunities in Travel Behavior
Research and Applications},
year = 1997,
month = SEP,
address = {Austin, TX, USA},
keywords = {transport modelling, ilute, travel behaviour}
}
@INPROCEEDINGS{DohMil98,
author = {Sean T.~Doherty and Eric J.~Miller},
title = {Activity patterns derived from a one-week household activity
scheduling survey},
year = 1998,
month = JAN,
booktitle = {Presented at the 77th Annual Meeting of the
Transportation Research Board},
address = {Washington, D.C., USA},
keywords = {transport modelling, ilute, travel behaviour}
}
@ARTICLE{DohMil01,
author = {Sean T.~Doherty and Eric J.~Miller},
title = {A Computerized Household Activity Scheduling Survey},
year = 2001,
journal = {Transportation},
volume = 27,
number = 1,
pages = {75--97},
keywords = {transport modelling, ilute, travel behaviour}
}
@INCOLLECTION{DohMilAxhGar02,
author = {Sean T.~Doherty and Eric J.~Miller and Kay W.~Axhausen and
Tommy G{\"a}rling},
title = {A Conceptual Model of the Weekly Household Activity-Travel
Scheduling Process},
year = {2002},
booktitle = {Travel Behaviour: Patterns, Implications and Modelling},
editor = {E.~Stern and I.~Salomon and P.~Bovy},
publisher = {Elgar Publishing},
pages = {148--165},
address = {Cheltenham, UK},
keywords = {transport modelling, ilute, travel behaviour},
url = {http://www.civ.utoronto.ca/sect/traeng/ilute/chase/downloads/conceptual_paper.pdf}
}
@ARTICLE{DohNemRooMil04,
author = {Sean T.~Doherty and Erika Nemeth and Matthew J.~Roorda and
Eric J.~Miller},
title = {Design and Assessment of the {T}oronto {A}rea Computerized
Household Activity Scheduling Survey},
journal = {Transportation Research Record},
volume = 1894,
pages = {140--149},
year = 2004,
keywords = {transport modelling, ilute, canada, travel behaviour}
}
@ARTICLE{ElgMil06,
author = {Ilan Elgar and Eric J.~Miller},
title = {A Conceptual Model of Small Office Firm Location},
year = 2006,
journal = {Transportation Research Record},
volume = 1977,
pages = {190--196},
keywords = {ilute, transport modelling, location choice}
}
@ARTICLE{ElmBadMil99,
author = {A.~Elmi and Daniel A.~Badoe and Eric J.~Miller},
title = {Transferability Analysis of Work-Trip Distribution Models},
year = 1999,
journal = {Transportation Research Record},
volume = 1676,
pages = {169--176},
keywords = {transport modelling, ilute, canada},
abstract = {
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.
}
}
@INPROCEEDINGS{HabElgMil06,
author = {Khandker M.N.~Habib and Ilan Elgar and Eric J.~Miller},
title = {Stress Triggered Household Decision to Change Dwelling: A
Simultaneous Dynamic Approach},
year = 2006,
month = AUG,
booktitle = {Presented at the 11th International Association for Travel
Behaviour Research Conference},
address = {Kyoto, Japan},
keywords = {travel behaviour, transport modelling, ilute}
}
@INPROCEEDINGS{HabMil06,
author = {Khandker M.N.~Habib and Eric J.~Miller},
title = {Modelling Activity Generation: A Utility Based Model for
Activity-Travel Demand},
year = 2006,
month = AUG,
booktitle = {Presented at the 11th International Association for Travel
Behaviour Research Conference},
address = {Kyoto, Japan},
keywords = {travel behaviour, transport modelling, ilute}
}
@ARTICLE{HabMil06b,
author = {Khandker M.N.~Habib and Eric J.~Miller},
title = {Modelling Individuals' Frequency and Time Allocation Behaviour
for Shopping Activities Considering Household Level Random
Effects},
year = 2006,
journal = {Transportation Research Record},
volume = {forthcoming},
keywords = {travel behaviour, transport modelling, ilute}
}
@ARTICLE{HabMil06c,
author = {Khandker M.N.~Habib and Eric J.~Miller},
title = {Modelling Skeletal Components of Workers' Daily Activity
Schedules},
year = 2006,
journal = {Transportation Research Record},
volume = {forthcoming},
keywords = {travel behaviour, transport modelling, ilute}
}
@INPROCEEDINGS{HaiMil99,
author = {Murtaza Haider and Eric J.~Miller},
title = {Effects of Transportation Infrastructure and Locational
Elements on Residential Real Estate Values},
year = 1999,
month = JAN,
booktitle = {Proceedings of the Annual Transportation Research Board
Conference},
address = {Washington, D.C., USA},
keywords = {spatial modelling, ilute, urban planning, land use transport link},
url = {http://www.regionomics.com/Research/trb_99.PDF}
}
@ARTICLE{HaiMil00,
author = {Murtaza Haider and Eric J.~Miller},
title = {Effects of Infrastructure and Locational Elements on
Residential Real Estate Values: An Application of Autoregressive
Techniques},
year = 2000,
journal = {Transportation Research Record},
volume = 1722,
pages = {1--8},
abstract = {
Proximity to transportation infrastructure (highways and public
transit) influences residential real estate values. Housing
values also are influenced by propinquity to a shopping
facility or a recreational amenity. Spatial autoregressive
(SAR) models were used to estimate the impact of locational
elements on the price of residential properties sold during
1995 in the Greater Toronto Area. A large data set consisting
of 27,400 freehold sales was used in the study. Moran's I was
estimated to determine the effects of spatial autocorrelation
that existed in housing values. SAR models, using a combination
of locational influences, neighborhood characteristics, and
structural attributes, explained 83\% variance in housing
values. Using the ``comparable sales approach,'' a spatiotemporal
lag variable was estimated for every property in the database.
This research discovered that SAR models offered a better fit
than nonspatial models. This study also discovered that in the
presence of other explanatory variables, locational and
transportation factors were not strong determinants of housing
values. On the other hand, the number of washrooms and the
average household income in a neighborhood were found to be
significant determinants of housing values. Stepwise regression
techniques were used to determine reduced spatial hedonic
models.
},
keywords = {ilute, canada, urban planning, land use transport link}
}
@MISC{HarMil99,
author = {Antoine Haroun and Eric J.~Miller},
title = {A descriptive analysis of a region-wide residential mobility
survey},
year = 1999,
month = NOV,
howpublished = {Presented at the 46th Annual Meeting of the North
American Regional Science Association},
address = {Montreal, QC, Canada},
keywords = {ilute, transport modelling, travel behaviour}
}
@ARTICLE{HolMil96,
author = {B.J.~Hollingworth and Eric. J.~Miller},
title = {Retrospective Interviewing and its Application in Study of
Residential Mobility},
year = 1996,
journal = {Transportation Research Record},
volume = 1551,
pages = {74--81},
keywords = {transport modelling, travel behaviour},
abstract = {
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.
}
}
@INPROCEEDINGS{LitDohMil04,
author = {Marek Litwin and Sean Doherty and Eric J.~Miller},
title = {Investigating competition patterns in the household activity
scheduling processes},
year = 2004,
month = JAN,
booktitle = {Presented at the 83rd Annual Meeting of the
Transportation Research Board},
address = {Washington, D.C., USA},
keywords = {transport modelling, ilute, travel behaviour},
abstract = {
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.
}
}
@MISC{LitMil02,
author = {Marek Litwin and Eric J.~Miller},
title = {Investigation of household activity behaviour---descriptive
analysis},
howpublished = {Presented at the Annual Meeting of the Canadian
Regional Science Association},
address = {Toronto, ON, Canada},
year = 2002,
month = JUN,
keywords = {ilute, transport modelling, travel behaviour}
}
@INPROCEEDINGS{LitMil04,
author = {Marek Litwin and Eric J.~Miller},
title = {Agenda formation: evolution of activity sequencing within an
event-driven time-series based framework},
year = 2004,
month = MAY,
booktitle = {Presented at the EIRASS Conference on Progress in
Activity-Based Analysis},
address = {Maastricht, The Netherlands},
keywords = {transport modelling, ilute, canada, travel behaviour},
abstract = {
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.
}
}
@INPROCEEDINGS{LitMil04b,
author = {Marek Litwin and Eric J.~Miller},
title = {Event-driven time-series based dynamic model of decision
making processes: philosophical background and conceptual
framework},
year = 2004,
month = JAN,
booktitle = {Presented at the 83rd Annual Meeting of the
Transportation Research Board},
address = {Washington, D.C., USA},
keywords = {transport modelling, ilute, travel behaviour},
abstract = {
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.
}
}
@ARTICLE{Mil93,
author = {Eric J.~Miller},
title = {{C}entral {A}rea Mode Choice and Parking Demand},
year = 1993,
journal = {Transportation Research Record},
volume = 1413,
pages = {60--69},
keywords = {parking, canada, transportation demand management}
}
@INPROCEEDINGS{Mil96,
author = {Eric J.~Miller},
title = {Microsimulation and Activity-Based Forecasting},
booktitle = {Summary, Recommendations and Compendium of Papers, Travel
Mode Improvement Program Activity-Based Travel Forecasting Conference},
year = 1996,
month = JUN,
publisher = {US Department of Transportation},
address = {Washington, D.C., USA},
pages = {151--172},
keywords = {transport modelling}
}
@TECHREPORT{Mil97,
author = {Eric J.~Miller},
title = {Microsimulation and Activity-Based Forecasting},
year = 1997,
number = {DOT-T-97-17},
institution = {Texas Transportation Institute},
address = {College Station, TX, USA},
abstract = {
This paper provides an overview of the state of the art of
microsimulation modeling applied to activity-based travel
forecasting. The paper defines what is meant by
microsimulation and discusses why microsimulation might be a
preferred approach to activity-based forecasting in many
applications. The issue of synthesizing and updating
characteristics of the population being simulated is addressed
in some detail. Examples of various types of microsimulation
models which have been developed to date are provided,
including microsimulation models of auto ownership, residential
mobility, route choice and network performance, as well as
activity-based travel forecasting models per se. The paper
concludes with a discussion of research development issues
associated with the continuing development of operational
microsimulation models. These include: further evaluation of
population synthesizing and updating methods; determination of
appropriate levels of model disaggregation; establishing
appropriate linkages between model components; examination of
the statistical properties of microsimulation models; and
demonstration of the computational feasibility of these very
computer-intensive modeling systems.
}
}
@INCOLLECTION{Mil03b,
author = {Eric J.~Miller},
title = {Land Use - Transportation Modelling},
year = 2003,
booktitle = {Transportation System Planning Methods and Applications},
editor = {K.G.~Goulias},
chapter = 5,
pages = {5-1--5-24},
publisher = {CRC Press},
address = {Boca Raton, FL, USA},
keywords = {land use transport link, transport modelling}
}
@INCOLLECTION{Mil03c,
author = {Eric J.~Miller},
title = {Microsimulation},
year = 2003,
booktitle = {Transportation System Planning Methods and Applications},
editor = {K.G.~Goulias},
chapter = 12,
pages = {12-1--12-22},
publisher = {CRC Press},
address = {Boca Raton, FL, USA},
keywords = {transport modelling}
}
@ARTICLE{Mil04,
author = {Eric J.~Miller},
title = {The Trouble with Intercity Travel Demand Models},
year = 2004,
journal = {Transportation Research Record},
volume = 1895,
pages = {94--101},
keywords = {transport modelling, intercity transport}
}
@INCOLLECTION{Mil04b,
author = {Eric J.~Miller},
title = {Integrated Land-Use/Transport Model Requirements},
year = 2004,
editor = {D.A.~Hensher and K.J.~Button and K.E.~Haynes and
P.R.~Stopher},
booktitle = {Handbook of Transport Geography and Spatial Systems},
series = {Handbooks in Transport},
volume = 5,
publisher = {Elsevier Science},
address = {Amsterdam, The Netherlands},
pages = {147--166},
keywords = {transport modelling, land use transport link}
}
@INCOLLECTION{Mil05,
author = {Eric J.~Miller},
title = {Propositions for Modelling Household Decision-Making},
year = 2005,
booktitle = {Integrated Land-Use and Transportation Models: Behavioural
Foundations},
editor = {Martin Lee-Gosselin and Sean T.~Doherty},
address = {Oxford, UK},
publisher = {Elsevier},
pages = {21--60},
keywords = {travel behaviour, transport modelling, ilute}
}
@INCOLLECTION{Mil05b,
author = {Eric J.~Miller},
title = {An Integrated Framework for Modelling Short- and Long-Run
Household Decision-Making},
year = 2005,
booktitle = {Progress in Activity-Based Analysis},
editor = {Harry J.P.~Timmermans},
address = {Oxford, UK},
publisher = {Elsevier},
pages = {175--202},
keywords = {transport modelling, ilute, travel behaviour}
}
@INPROCEEDINGS{Mil05c,
author = {Eric J.~Miller},
title = {Project-Based Activity Scheduling for Household and Person
Agents},
year = 2005,
editor = {H.S.~Mahmassani},
booktitle = {Transportation and Traffic Theory, Flow, Dynamics and
Human Interaction: Proceedings of the 16th International Symposium
on Transportation and Traffic Theory},
address = {Oxford, UK},
publisher = {Elsevier},
pages = {565--584},
keywords = {transport modelling, ilute, travel behaviour}
}
@TECHREPORT{MilCheFan92,
author = {Eric J.~Miller and L.S.~Cheah and K.S.~Fan},
title = {Development of an operational peak-period mode split model for
{M}etropolitan {T}oronto},
volume = {III: Short-Run Improvements},
year = 1992,
month = MAR,
institution = {Department of Civil Engineering, University of Toronto},
address = {Toronto, ON, Canada},
keywords = {canada, transport modelling}
}
@INPROCEEDINGS{MilHar00,
author = {Eric J.~Miller and Antoine Haroun},
title = {A Microsimulation Model of Residential Housing Markets},
year = 2000,
month = JUL,
booktitle = {Proceedings of the Ninth International Association of Travel
Behaviour Research Conference},
address = {Gold Coast, Australia},
keywords = {ilute, transport modelling, urban planning}
}
@TECHREPORT{MilHas93,
author = {Eric J.~Miller and M.I.~Hassounah},
title = {Quantitative Analysis of Urban Transportation Energy Use and
Emissions: Phase {I} Final Report},
year = 1993,
institution = {University of Toronto Joint Program in Transportation},
address = {Toronto, ON, Canada},
keywords = {transport planning, energy, greenhouse gases}
}
@INPROCEEDINGS{MilHun02,
author = {Eric J.~Miller and John Douglas Hunt},
title = {{I}ntegrated {L}and {U}se, {T}ransportation and {E}nvironment
({ILUTE}) Modeling in {C}anada},
year = 2002,
month = JUL,
booktitle = {Presented at the {T}hird {O}regon {S}ymposium on Integrated
Land Use and Transport Models},
address = {Portland, OR, USA},
keywords = {transport modelling, ilute, land use transport link},
url = { http://www.odot.state.or.us/tddtpau/symposium.html#3rdPresentations }
}
@ARTICLE{MilIbr98,
author = {Eric J.~Miller and A.~Ibrahim},
title = {Urban form and vehicular travel: some empirical findings},
year = 1998,
month = JAN,
journal = {Transportation Research Record},
volume = 1617,
pages = {18--27},
address = {Washington, D.C., USA},
keywords = {urban planning, transport planning, canada, urban form, land use transport link},
abstract = {
Some empirical findings are presented on the relationship between
urban form and work trip commuting efficiency, drawn from the
analysis of 1986 work trip commuting patterns in the greater
Toronto area. Work trip commuting efficiency is measured with
respect to the average number of vehicle kilometers traveled
(VKT) per worker in a given zone. Preliminary findings include
VKT per worker increases as one moves away from both the
central core of the city and from other high-density employment
centers within the region; job-housing balance, per se, shows
little impact on commuting VKT; and population density, in and
of itself, does not explain variations on commuting VKT once
other urban structure variables have been accounted for.
}
}
@ARTICLE{MilKriHun99,
author = {Eric J.~Miller and David S.~Kriger and John Douglas Hunt},
title = {A research and development program for integrated urban
models},
year = 1999,
journal = {Transportation Research Record},
volume = 1685,
pages = {169--176},
abstract = {
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}
}
@TECHREPORT{MilLitRoo02,
author = {Eric J.~Miller and Todd Litman and Matthew J.~Roorda},
title = {Study of the Environmental Benefits of an {I}ntegrated
{M}obility {S}ystem ({IMS}) in the {G}reater {T}oronto {A}rea},
year = 2002,
month = NOV,
institution = {Joint Program in Transportation},
address = {Toronto, ON, Canada},
keywords = {transport planning, transit, canada}
}
@INPROCEEDINGS{MilNoeRos87,
author = {Eric J.~Miller and Peter J.~Noehammer and David R.~Ross},
title = {A microsimulation model of residential mobility},
year = 1987,
booktitle = {Proceedings of the International Symposium on Transport,
Communication and Urban Form: 2 Analytical Techniques and Case
Studies},
editor = {W.~Young},
address = {Clayton, Australia},
institution = {Monash University},
pages = {217--234},
keywords = {transport modelling, ilute}
}
@ARTICLE{MilOKe83,
author = {Eric J.~Miller and Morton O'Kelly},
title = {Estimating Shopping Destination Choice Models from Travel
Diary Data},
year = 1983,
journal = {Professional Geographer},
volume = 35,
number = 4,
pages = {440--449},
keywords = {transport modelling, shopping, destination choice}
}
@ARTICLE{MilRoo03,
author = {Eric J.~Miller and Matthew J.~Roorda},
title = {A Prototype Model of 24-Hour Household Activity Scheduling for
the {T}oronto {A}rea},
journal = {Transportation Research Record},
year = 2003,
volume = 1831,
pages = {114--121},
keywords = {transport modelling, ilute, canada, travel behaviour}
}
@INPROCEEDINGS{MilRoo03b,
author = {Eric J.~Miller and Matthew J.~Roorda},
title = {A Prototype Model of Household Activity/Travel Scheduling},
year = 2003,
month = JAN,
booktitle = {Presented at the 82nd Annual Meeting of the Transportation Research Board},
address = {Washington, D.C., USA},
keywords = {transport modelling, ilute, travel behaviour},
url = {http://www.ltrc.lsu.edu/TRB_82/TRB2003-001272.pdf}
}
@INPROCEEDINGS{MilRooCar03,
author = {Eric J.~Miller and Matthew J.~Roorda and Juan A.~Carrasco},
title = {A Tour-Based Model of Travel Mode Choice},
year = 2003,
month = AUG,
booktitle = {Proceedings of the 10th International Conference on Travel
Behavior Research},
address = {Lucerne, Switzerland},
url = {http://www.ivt.baum.ethz.ch/allgemein/pdf/millere.pdf},
keywords = {transport modelling, ilute, travel behaviour},
annote = {
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.
}
}
@ARTICLE{MilRooCar05,
author = {Eric J.~Miller and Matthew J.~Roorda and Juan A.~Carrasco},
title = {A Tour-Based Model of Travel Mode Choice},
year = 2005,
month = JUL,
journal = {Transportation},
volume = 32,
number = 4,
pages = {399--422},
keywords = {transport modelling, ilute, travel behaviour}
}
@ARTICLE{MilRooHaiMoh04,
author = {Eric J.~Miller and Matthew J.~Roorda and Murtaza Haider and
Abolfazl Mohammadian},
title = {An Empirical Analysis of Travel and Housing Expenditures in
the {G}reater {T}oronto {A}rea},
year = 2004,
journal = {Transportation Research Record},
volume = 1898,
pages = {191--201},
keywords = {transport modelling, ilute, canada, urban planning, transport planning}
}
@TECHREPORT{MilRooKenShaMac06,
author = {Eric J.~Miller and Matthew J.~Roorda and Christopher
A.~Kennedy and Amer S.~Shalaby and Heather L.~Mac{L}ean},
title = {Activity-Based, Multi-Modal Modelling of Travel Behaviour for
Urban Design},
year = 2006,
month = MAY,
type = {Final project report to {T}ransport {C}anada},
institution = {Joint Program in Transportation, University of Toronto},
address = {Toronto, ON, Canada},
keywords = {ilute, transport modelling, travel behaviour}
}
@INPROCEEDINGS{MilSal98,
author = {Eric J.~Miller and Paul A.~Salvini},
title = {The {I}ntegrated {L}and {U}se, {T}ransportation, {E}nvironment
({ILUTE}) Modeling System: A Framework},
year = 1998,
month = JAN,
booktitle = {Presented at the 77th Annual Meeting of the
Transportation Research Board},
address = {Washington, D.C., USA},
keywords = {transport modelling, ilute}
}
@INCOLLECTION{MilSal01,
author = {Eric J.~Miller and Paul A.~Salvini},
title = {The {I}ntegrated {L}and {U}se, {T}ransportation, {E}nvironment
({ILUTE}) Modeling System: Description \& Current Status},
year = 2001,
booktitle = {The Leading Edge in Travel Behaviour Research},
editor = {D.~Hensher},
address = {Amsterdam, The Netherlands},
publisher = {Pergamon},
pages = {711--724},
keywords = {transport modelling, ilute}
}
@TECHREPORT{MilSha00,
author = {Eric J.~Miller and Amer Shalaby},
title = {Travel in the {G}reater {T}oronto {A}rea: Past and Current
Behaviour and Relation to Urban Form},
year = 2000,
institution = {Neptis Foundation},
address = {Toronto, ON, Canada},
keywords = {canada, transit, transport planning, urban planning, land use transport link}
}
@TECHREPORT{MilSteJea90,
author = {Eric J.~Miller and G.N.~Steuart and D.~Jea},
title = {Understanding Urban Travel Growth in the {G}reater {T}oronto
{A}rea},
volume = {III: Future Travel Trends and their Implications for
Transportation Policy in the Greater Toronto Area},
number = {TDS-90-07},
address = {Toronto, ON, Canada},
institution = {Ministry of Transportation Ontario, Research and
Development Branch},
year = 1990,
month = NOV,
keywords = {canada, transit, transport planning, urban planning, land use transport link, urban form}
}
@TECHREPORT{MilSteJeaHon90,
author = {Eric J.~Miller and G.N.~Steuart and D.~Jea and J.~Hong},
title = {Understanding Urban Travel Growth in the {G}reater {T}oronto
{A}rea},
volume = {II: Trip Generation Relationships in the Greater Toronto Area},
number = {TDS-90-06},
address = {Toronto, ON, Canada},
institution = {Ministry of Transportation Ontario, Research and
Development Branch},
year = 1990,
month = NOV,
keywords = {canada, transport planning}
}
@INPROCEEDINGS{MohMil00,
author = {Abolfazl Mohammadian and Eric J.~Miller},
title = {A Comprehensive and Operational Modeling Framework for
Automobile Ownership in an Integrated Land-Use, Transportation and
Environment Modeling System},
year = 2000,
month = JUN,
booktitle = {Proceedings of the 3rd Transportation Specialty Conference
of CSCE},
address = {London, ON, Canada},
keywords = {transport modelling, ilute}
}
@ARTICLE{MohMil02,
author = {Abolfazl Mohammadian and Eric J.~Miller},
title = {Nested Logit Models and Artificial Neural Networks for
Predicting Household Automobile Choices},
year = 2002,
journal = {Transportation Research Record},
volume = 1807,
pages = {92--100},
keywords = {transport modelling, ilute, travel behaviour}
}
@ARTICLE{MohShaMil06,
author = {Abolfazl Mohammadian and Amer S.~Shalaby and Eric J.~Miller},
title = {An Empirical Analysis of Transit Network Evolution: Case Study
of the {M}ississauga, {O}ntario Bus Network},
year = 2006,
journal = {Transportation Research Record},
volume = {forthcoming},
keywords = {transit, canada, transport planning}
}
@INPROCEEDINGS{PusHolMil00,
author = {Anna O.~Pushkar and Brian Hollingworth and Eric J.~Miller},
title = {A Multivariate Regression Model for Estimating Greenhouse Gas
Emissions from Alternative Neighborhood Designs},
year = 2000,
month = JAN,
booktitle = {Presented at the 79th Annual Meeting of the
Transportation Research Board},
address = {Washington, D.C., USA},
keywords = {sustainability, land use transport link}
}
@INPROCEEDINGS{RooCarMil06,
author = {Matthew J.~Roorda and Juan A.~Carrasco and Eric J.~Miller},
title = {A Joint Model of Car Ownership and Activity Scheduling},
year = 2006,
month = AUG,
booktitle = {Presented at the 11th International Association for Travel
Behaviour Research Conference},
address = {Kyoto, Japan},
keywords = {travel behaviour, transport modelling, ilute}
}
@INCOLLECTION{RooDohMil05,
author = {Matthew J.~Roorda and Sean Doherty and Eric J.~Miller},
title = {Operationalising Household Activity Scheduling Models:
Addressing Assumptions and Using New Sources of Behavioural Data},
booktitle = {Behavioural Foundations of Integrated Land-Use and
Transportation Models: Assumptions and New Conceptual Frameworks},
editor = {Martin Lee-Gosselin and Sean T.~Doherty},
year = 2005,
publisher = {Elsevier},
address = {New York City, NY, USA},
keywords = {transport modelling, ilute, travel behaviour}
}
@INPROCEEDINGS{RooMil03,
author = {Matthew J.~Roorda and Eric J.~Miller},
title = {Strategies for Resolving Activity Scheduling Conflicts: An
Empirical Analysis},
year = 2003,
month = MAY,
booktitle = {Proceedings of the EIRASS Conference on Progress in
Activity-Based Analysis},
address = {Maastricht, The Netherlands},
keywords = {transport modelling, ilute, travel behaviour}
}
@INPROCEEDINGS{RooMil04,
author = {Matthew J.~Roorda and Eric J.~Miller},
title = {Toronto Activity Panel Survey: Demonstrating the Benefits of
a Multiple Instrument Panel Survey},
year = 2004,
month = AUG,
booktitle = {Proceedings of the Seventh International Conference on
Travel Survey Methods},
address = {Costa Rica},
keywords = {transport modelling, ilute, canada}
}
@INCOLLECTION{RooMil05,
author = {Matthew J.~Roorda and Eric J.~Miller},
title = {Strategies for Resolving Activity Scheduling Conflicts: An
Empirical Analysis},
year = 2005,
booktitle = {Progress in Activity-Based Analysis},
editor = {Harry J.P.~Timmermans},
address = {Oxford, UK},
publisher = {Elsevier},
pages = {203--222},
keywords = {transport modelling, ilute, travel behaviour}
}
@ARTICLE{RooMilKru06,
author = {Matthew J.~Roorda and Eric J.~Miller and Nick Kruchten},
title = {Incorporating Within-Household Interactions into a Mode Choice
Model Using a Genetic Algorithm for Parameter Estimation},
year = 2006,
journal = {Transportation Research Record},
volume = {forthcoming},
keywords = {transport modelling, ilute, travel behaviour}
}
@ARTICLE{SalMil05,
author = {Paul A.~Salvini and Eric J.~Miller},
title = {{ILUTE}: An Operational Prototype of a Comprehensive
Microsimulation Model of Urban Systems},
year = 2005,
journal = {Networks and Spatial Economics},
volume = 5,
pages = {217--234},
keywords = {transport modelling, ilute}
}
@TECHREPORT{ShaMil00,
author = {Amer S.~Shalaby and Eric J.~Miller},
title = {Travel in the {G}reater {T}oronto {A}rea: Past and current
behaviour and relation to urban form},
year = 2000,
month = JAN,
type = {The {N}eptis {F}oundation Study},
institution = {University of Toronto},
address = {Toronto, ON, Canada},
keywords = {transport planning, urban planning, ilute, canada, urban form, land use transport link}
}
@ARTICLE{SobMil99,
author = {Richard M.~Soberman and Eric J.~Miller},
title = {Impacts of full cost pricing on the sustainability of urban
transportation: towards {C}anada's {K}yoto commitment},
year = 1999,
month = JUN,
journal = {Canadian Journal of Civil Engineering},
volume = 26,
number = 3,
pages = {345--354},
keywords = {transport planning, canada, congestion pricing, energy, greenhouse gases}
}
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