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1.
Erika Spissu Abdul Rawoof Pinjari Ram M. Pendyala Chandra R. Bhat 《Transportation》2009,36(4):403-422
In this paper, a joint model of vehicle type choice and utilization is formulated and estimated on a data set of vehicles
drawn from the 2000 San Francisco Bay Area Travel Survey. The joint discrete–continuous model system formulated in this study
explicitly accounts for common unobserved factors that may affect the choice and utilization of a certain vehicle type (i.e.,
self-selection effects). A new copula-based methodology is adopted to facilitate model estimation without imposing restrictive
distribution assumptions on the dependency structures between the errors in the discrete and continuous choice components.
The copula-based methodology is found to provide statistically superior goodness-of-fit when compared with previous estimation
approaches for joint discrete–continuous model systems. The model system, when applied to simulate the impacts of a doubling
in fuel price, shows that individuals are more likely to shift vehicle type choices than vehicle usage patterns.
Erika Spissu is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at The University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Pinjari is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from The University of Texas at Austin. Ram M. Pendyala is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use-transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
Chandra R. Bhat (Corresponding author)Email: |
Erika Spissu is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at The University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Pinjari is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from The University of Texas at Austin. Ram M. Pendyala is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use-transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
2.
In the US, the rise in motorized vehicle travel has contributed to serious societal, environmental, economic, and public health
problems. These problems have increased the interest in encouraging non-motorized modes of travel (walking and bicycling).
The current study contributes toward this objective by identifying and evaluating the importance of attributes influencing
bicyclists’ route choice preferences. Specifically, the paper examines a comprehensive set of attributes that influence bicycle
route choice, including: (1) bicyclists’ characteristics, (2) on-street parking, (3) bicycle facility type and amenities,
(4) roadway physical characteristics, (5) roadway functional characteristics, and (6) roadway operational characteristics.
The data used in the analysis is drawn from a web-based stated preference survey of Texas bicyclists. The results of the study
emphasize the importance of a comprehensive evaluation of both route-related attributes and bicyclists’ demographics in bicycle
route choice decisions. The empirical results indicate that travel time (for commuters) and motorized traffic volume are the
most important attributes in bicycle route choice. Other route attributes with a high impact include number of stop signs,
red light, and cross-streets, speed limits, on-street parking characteristics, and whether there exists a continuous bicycle
facility on the route.
Ipek N. Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Naveen Eluru is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. He received his M.S. degree in Civil Engineering from The University of Texas at Austin, and his Bachelors in Technology Degree from Indian Institute of Technology in Madras, India. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
Chandra R. Bhat (Corresponding author)Email: |
Ipek N. Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Naveen Eluru is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. He received his M.S. degree in Civil Engineering from The University of Texas at Austin, and his Bachelors in Technology Degree from Indian Institute of Technology in Madras, India. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
3.
Erika Spissu Abdul Rawoof Pinjari Chandra R. Bhat Ram M. Pendyala Kay W. Axhausen 《Transportation》2009,36(5):483-510
Activity-travel behavior research has hitherto focused on the modeling and understanding of daily time use and activity patterns
and resulting travel demand. In this particular paper, an analysis and modeling of weekly activity-travel behavior is presented
using a unique multi-week activity-travel behavior data set collected in and around Zurich, Switzerland. The paper focuses
on six categories of discretionary activity participation to understand the determinants of, and the inter-personal and intra-personal
variability in, weekly activity engagement at a detailed level. A panel version of the Mixed Multiple Discrete Continuous
Extreme Value model (MMDCEV) that explicitly accounts for the panel (or repeated-observations) nature of the multi-week activity-travel
behavior data set is developed and estimated on the data set. The model also controls for individual-level unobserved factors
that lead to correlations in activity engagement preferences across different activity types. To our knowledge, this is the
first formulation and application of a panel MMDCEV structure in the econometric literature. The analysis suggests the high
prevalence of intra-personal variability in discretionary activity engagement over a multi-week period along with inter-personal
variability that is typically considered in activity-travel modeling. In addition, the panel MMDCEV model helped identify
the observed socio-economic factors and unobserved individual specific factors that contribute to variability in multi-week
discretionary activity participation.
Erika Spissu is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at the University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Rawoof Pinjari is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from the University of Texas at Austin. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. Ram M. Pendyala is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use—transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Kay W. Axhausen is a Professor of Transport Planning at the Swiss Federal Institute of Technology (ETH) Zurich. Prior to his appointment at ETH, he worked at the Leopold Franzens University of Innsbruck, Imperial College London and the University of Oxford. He has been involved in the measurement and modelling of travel behaviour for the last 25 years, contributing especially to the literature on stated preferences, microsimulation of travel behaviour, valuation of travel time and its components, parking behaviour, activity scheduling and travel diary data collection. 相似文献
Kay W. AxhausenEmail: |
Erika Spissu is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at the University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Rawoof Pinjari is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from the University of Texas at Austin. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. Ram M. Pendyala is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use—transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Kay W. Axhausen is a Professor of Transport Planning at the Swiss Federal Institute of Technology (ETH) Zurich. Prior to his appointment at ETH, he worked at the Leopold Franzens University of Innsbruck, Imperial College London and the University of Oxford. He has been involved in the measurement and modelling of travel behaviour for the last 25 years, contributing especially to the literature on stated preferences, microsimulation of travel behaviour, valuation of travel time and its components, parking behaviour, activity scheduling and travel diary data collection. 相似文献
4.
Ipek N. Sener Rachel B. Copperman Ram M. Pendyala Chandra R. Bhat 《Transportation》2008,35(5):673-696
This paper presents a detailed analysis of discretionary leisure activity engagement by children. Children’s leisure activity
engagement is of much interest to transportation professionals from an activity-based travel demand modeling perspective,
to child development professionals from a sociological perspective, and to health professionals from an active lifestyle perspective
that can help prevent obesity and other medical ailments from an early age. Using data from the 2002 Child Development Supplement
of the Panel Study of Income Dynamics, this paper presents a detailed analysis of children’s discretionary activity engagement
by day of week (weekend versus weekday), location (in-home versus out-of-home), type of activity (physically active versus
passive), and nature of activity (structured versus unstructured). A mixed multiple discrete-continuous extreme value model
formulation is adopted to account for the fact that children may participate in multiple activities and allocate positive
time duration to each of the activities chosen. It is found that children participate at the highest rate and for the longest
duration in passive unstructured leisure activities inside the home. Children in households with parents who are employed,
higher income, or higher education were found to participate in structured outdoor activities at higher rates. The child activity
modeling framework and methodology presented in this paper lends itself for incorporation into larger activity-based travel
model systems where it is imperative that children’s activity-travel patterns be explicitly modeled—both from a child health
and well-being policy perspective and from a travel forecasting perspective.
Ipek N. Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Rachel B. Copperman is currently a Ph.D. student at The University of Texas at Austin in transportation engineering. She received her M.S.E. from The University of Texas at Austin in Civil Engineering and her B.S. from the University of Virginia in Systems Engineering. Rachel grew up in Arlington, Virginia. Ram M. Pendyala is a Professor in Transportation at Arizona State University in Tempe. He teaches and conducts research in activity-based travel behavior modeling, multimodal transportation planning, and travel demand forecasting. He is the chair of the Transportation Research Board Committee on Traveler Behavior and Values and vice chair of the International Association for Travel Behaviour Research. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
Chandra R. Bhat (Corresponding author)Email: |
Ipek N. Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Rachel B. Copperman is currently a Ph.D. student at The University of Texas at Austin in transportation engineering. She received her M.S.E. from The University of Texas at Austin in Civil Engineering and her B.S. from the University of Virginia in Systems Engineering. Rachel grew up in Arlington, Virginia. Ram M. Pendyala is a Professor in Transportation at Arizona State University in Tempe. He teaches and conducts research in activity-based travel behavior modeling, multimodal transportation planning, and travel demand forecasting. He is the chair of the Transportation Research Board Committee on Traveler Behavior and Values and vice chair of the International Association for Travel Behaviour Research. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
5.
Residential location,vehicle ownership and travel in Asia: a comparative analysis of Kei-Han-Shin and Kuala Lumpur metropolitan areas 总被引:1,自引:1,他引:0
The study examines the relationships between residential location, vehicle ownership and mobility in two metropolitan areas
of Asia, Kei-Han-Shin area of Japan and Kuala Lumpur area of Malaysia. It shows that, behind apparent similarities of household
auto ownership and travel time expenditure per household member, there are many causal relationships that are distinct between
the areas. The similarities and differences between the two areas point to the conjecture that the evolution of a metropolitan
area may be unique and path dependent, being heavily influenced by the history and culture of the locale, spatial and geographical
constraints, and historical progression in infrastructure development.
Metin Senbil is an Associate Professor in City and Regional Planning Department at Gazi University in Ankara, Turkey. He obtained the degree of Doctor of Engineering from Kyoto University, Japan. His research interests cover different aspects of urban travel demand and its interactions with telecommunications, land use, and policies directed at controlling as well as managing travel demand. Ryuichi Kitamura is Professor of Civil Engineering Systems at Kyoto University, Japan. His past research effort spans in the area of travel behavior analysis and demand forecasting, in particular in activity-based analysis, and panel surveys and dynamic analysis of travel behavior. He is associate editor of Transportation. Dr Jamilah Mohamad is Professor and Head of the Department of Geography, University of Malaya, Kuala Lumpur. Her main fields of research interest are travel behavior, the relationship between transport and spatial development and urban growth management. 相似文献
Jamilah MohamadEmail: |
Metin Senbil is an Associate Professor in City and Regional Planning Department at Gazi University in Ankara, Turkey. He obtained the degree of Doctor of Engineering from Kyoto University, Japan. His research interests cover different aspects of urban travel demand and its interactions with telecommunications, land use, and policies directed at controlling as well as managing travel demand. Ryuichi Kitamura is Professor of Civil Engineering Systems at Kyoto University, Japan. His past research effort spans in the area of travel behavior analysis and demand forecasting, in particular in activity-based analysis, and panel surveys and dynamic analysis of travel behavior. He is associate editor of Transportation. Dr Jamilah Mohamad is Professor and Head of the Department of Geography, University of Malaya, Kuala Lumpur. Her main fields of research interest are travel behavior, the relationship between transport and spatial development and urban growth management. 相似文献
6.
This paper looks at the first and second best jointly optimal toll and road capacity investment problems from both policy
and technical oriented perspectives. On the technical side, the paper investigates the applicability of the constraint cutting
algorithm for solving the second best problem under elastic demand which is formulated as a bilevel programming problem. The
approach is shown to perform well despite several problems encountered by our previous work in Shepherd and Sumalee (Netw.
Spat. Econ., 4(2): 161–179, 2004). The paper then applies the algorithm to a small sized network to investigate the policy implications of the first and second
best cases. This policy analysis demonstrates that the joint first best structure is to invest in the most direct routes while
reducing capacities elsewhere. Whilst unrealistic this acts as a useful benchmark. The results also show that certain second
best policies can achieve a high proportion of the first best benefits while in general generating a revenue surplus. We also
show that unless costs of capacity are known to be low then second best tolls will be affected and so should be analysed in
conjunction with investments in the network.
Andrew Koh Prior to joining the Institute for Transport Studies in December 2005, Andrew was employed for number of years as a consultant in highway assignment modelling. He is an economist with wide ranging research interests in transport economics as well as evolutionary computation heuristics such as genetic algorithms, particle swarm optimisation and differential evolution. Simon Shepherd At the Institute for Transport Studies since 1989, he gained his doctorate in 1994 applying state-space methods to the problem of traffic responsive signal control in over-saturated conditions. His expertise lies in modelling and policy optimisation ranging from detailed simulation models through assignment to strategic land use transport models. Recently he has focussed on optimisation of road user charging schemes and is currently working on optimal cordon design and system dynamics approaches to strategic modelling. Agachai Sumalee Agachai is currently an Assistant Professor at Department of Civil and Structural Engineering, Hong Kong Polytechnic University (). He obtained a Ph.D degree with the thesis entitled “Optimal Road Pricing Scheme Design” at Leeds University in 2004. His research areas cover transport network modeling and optimization, stochastic network modeling, network reliability analysis, and road pricing. Agachai is currently an associate editor of Networks and Spatial Economics. 相似文献
Agachai SumaleeEmail: |
Andrew Koh Prior to joining the Institute for Transport Studies in December 2005, Andrew was employed for number of years as a consultant in highway assignment modelling. He is an economist with wide ranging research interests in transport economics as well as evolutionary computation heuristics such as genetic algorithms, particle swarm optimisation and differential evolution. Simon Shepherd At the Institute for Transport Studies since 1989, he gained his doctorate in 1994 applying state-space methods to the problem of traffic responsive signal control in over-saturated conditions. His expertise lies in modelling and policy optimisation ranging from detailed simulation models through assignment to strategic land use transport models. Recently he has focussed on optimisation of road user charging schemes and is currently working on optimal cordon design and system dynamics approaches to strategic modelling. Agachai Sumalee Agachai is currently an Assistant Professor at Department of Civil and Structural Engineering, Hong Kong Polytechnic University (). He obtained a Ph.D degree with the thesis entitled “Optimal Road Pricing Scheme Design” at Leeds University in 2004. His research areas cover transport network modeling and optimization, stochastic network modeling, network reliability analysis, and road pricing. Agachai is currently an associate editor of Networks and Spatial Economics. 相似文献
7.
What neighborhood are you in? Empirical findings of relationships between household travel and neighborhood characteristics 总被引:1,自引:0,他引:1
In recent years, there have been studies of the influence of neighborhood or built environment characteristics on residential
location choice and household travel behavior. Interestingly, there is no uniform definition of neighborhood in the literature
and the definition is often vague. This paper presents an alternative way of defining neighborhood and neighborhood type,
which involves innovative usage of public data sources. Furthermore, the paper investigates the interaction between neighborhood
environment and household travel in the US. A neighborhood here is spatially identical to a census tract. A neighborhood type
identifies a group of neighborhoods with similar neighborhood socio-economic, demographic, and land use characteristics. This
is accomplished by performing log-likelihood clustering on the Census Transportation Planning Package (CTPP) 2000 data. Five
household travel measures, i.e., number of trips per household, mode share, average travel distance and time per trip, and
vehicle miles of travel (VMT), are then compared across the resulting 10 neighborhood types, using the 2001 National Household
Travel Survey (NHTS) household and trip files. It is found that household life cycle status and residential location are not
independent. Transit availability at place of residence tends to increase the transit mode share regardless of household automobile
ownership and income level, and job-housing trade-offs are evident when mobility is not of concern. The study also reveals
racial preference in residential location and contrasting travel characteristics among ethnic groups.
Dr. Jie Lin (Jane) is an assistant professor in Department of Civil and Materials Engineering and a researcher with the Institute for Environmental Science and Policy at University of Illinois at Chicago. Her research is focused on transportation demand analysis, data mining, and transportation sustainability in private, freight, and public transportation systems. Dr. Liang Long received a Doctorate degree in Civil Engineering from the University of Illinois at Chicago and a Master’s degree in Civil Engineering (Transportation Engineering) from Tongji University. She is currently with Cambridge Systematics as a transportation modeler with expertise in travel demand forecasting, geographic information systems (GIS) and market research. 相似文献
Liang LongEmail: |
Dr. Jie Lin (Jane) is an assistant professor in Department of Civil and Materials Engineering and a researcher with the Institute for Environmental Science and Policy at University of Illinois at Chicago. Her research is focused on transportation demand analysis, data mining, and transportation sustainability in private, freight, and public transportation systems. Dr. Liang Long received a Doctorate degree in Civil Engineering from the University of Illinois at Chicago and a Master’s degree in Civil Engineering (Transportation Engineering) from Tongji University. She is currently with Cambridge Systematics as a transportation modeler with expertise in travel demand forecasting, geographic information systems (GIS) and market research. 相似文献
8.
Antti Talvitie 《Transportation》2008,35(3):375-393
The paper unpacks the planning process into its component parts: model, process, technique, and goals—the “good thing”. The
paper advances the concept that planning, policy-making, and organizational restructuring can be analyzed under the same framework.
Each of the four components is described and reductionist examples are presented to clarify the intention and to illustrate
the technique that the transport analyst teams employ in their work. The examples cover both successes and failures. They
point toward the enormous scientific task ahead for planning to become meaningful and relevant to the problems of today. Finally,
in the frame of the willingness to pay, the paper puts forward a case for an institutional framework for a financially autonomous road administration. Similarly
organized, administered, and managed entities are relevant also for other transport modes.
Antti Talvitie is a Professor (part time) at the Helsinki University of Technology. He has private practice as consultant and as psychoanalyst in the Washington DC area. Previously, Mr. Talvitie worked in the World Bank; was GM of Viatek Consulting Engineers in Espoo Finland; served as Director of Highway Construction and Maintenance in the Finnish Road Administration; and was Professor in the US, including Chairmanship of the Department Civil Engineering at the University of Buffalo. Mr. Talvitie holds Ph.D. in Civil Engineering from Northwestern University, Evanston, IL, and Certificate in Psychoanalysis from the Boston Graduate School of Psychoanalysis. 相似文献
Antti TalvitieEmail: |
Antti Talvitie is a Professor (part time) at the Helsinki University of Technology. He has private practice as consultant and as psychoanalyst in the Washington DC area. Previously, Mr. Talvitie worked in the World Bank; was GM of Viatek Consulting Engineers in Espoo Finland; served as Director of Highway Construction and Maintenance in the Finnish Road Administration; and was Professor in the US, including Chairmanship of the Department Civil Engineering at the University of Buffalo. Mr. Talvitie holds Ph.D. in Civil Engineering from Northwestern University, Evanston, IL, and Certificate in Psychoanalysis from the Boston Graduate School of Psychoanalysis. 相似文献
9.
This paper develops a comprehensive approach to the definition of transportation analysis zones (TAZ), and therein, presents
a new methodology and algorithm for the definition of TAZ embedded in geographic information systems software, improves the
base algorithm with several local algorithms, and comprehensively analyses the obtained results. The results obtained are
then compared to these presently used in the transportation analysis process of the Lisbon Metropolitan Area. The proposed
algorithm presents a new methodology for TAZ design based on a smoothed density surface of geocoded travel demand data. The
algorithm aims to minimise the loss of information when moving from a continuous representation of the origin and destination
of each trip to their discrete representations through zones, and focuses on the trade-off between the statistical precision,
geographical error, and the percentage of intra-zonal trips of the resulting OD matrix. The results for the Lisbon Metropolitan
Area case study suggest a significant improvement in OD matrix estimates compared to current transportation analysis practises
based on administrative units.
Luis M. Martínez is a Civil Engineer from the Instituto Superior Técnico, Technical University of Lisbon since 2004. After finishing his degree, he started his work as researcher in the CESUR (Civil Engineering & Architecture Department—Instituto Superior Técnico) where he has been working since. In 2006 he completed his Master Thesis at Instituto Superior Técnico on Traffic Analysis Zones modeling and started his PhD studies on the theme: Metropolitan Transportation Systems Financing Using the Value Capture Concept. José Manuel Viegas is Full Professor of Transportation at the Civil Engineering & Architecture Department of the Instituto Superior Técnico, Technical University of Lisbon. He has worked extensively in Modeling, Innovation and Policy in several types of Transport Systems. He was founder and first Director General of Transportnet, a group of eight leading European Universities with Advanced Studies in Transportation, and currently leads the Portuguese side of the Transportation Systems area in the MIT—Portugal program. Elisabete A. Silva is at the University of Cambridge (University Lecturer in Planning at the Department of Land Economy and a Fellow of Robinson College). With more than 100 contributions in peer review journals, books/books chapters, conference proceedings, and a research track record of approximately 16 years, (both at the public and private sector), her research interests are centred on the application of new technologies to spatial planning in particular city and metropolitan dynamic modelling through time. 相似文献
Elisabete A. SilvaEmail: |
Luis M. Martínez is a Civil Engineer from the Instituto Superior Técnico, Technical University of Lisbon since 2004. After finishing his degree, he started his work as researcher in the CESUR (Civil Engineering & Architecture Department—Instituto Superior Técnico) where he has been working since. In 2006 he completed his Master Thesis at Instituto Superior Técnico on Traffic Analysis Zones modeling and started his PhD studies on the theme: Metropolitan Transportation Systems Financing Using the Value Capture Concept. José Manuel Viegas is Full Professor of Transportation at the Civil Engineering & Architecture Department of the Instituto Superior Técnico, Technical University of Lisbon. He has worked extensively in Modeling, Innovation and Policy in several types of Transport Systems. He was founder and first Director General of Transportnet, a group of eight leading European Universities with Advanced Studies in Transportation, and currently leads the Portuguese side of the Transportation Systems area in the MIT—Portugal program. Elisabete A. Silva is at the University of Cambridge (University Lecturer in Planning at the Department of Land Economy and a Fellow of Robinson College). With more than 100 contributions in peer review journals, books/books chapters, conference proceedings, and a research track record of approximately 16 years, (both at the public and private sector), her research interests are centred on the application of new technologies to spatial planning in particular city and metropolitan dynamic modelling through time. 相似文献
10.
In this paper, we used the 10-wave Puget Sound Panel Dataset to investigate the response lag of a significant change in discretionary
time use. In particular, we want to quantify the relative magnitude of the following factors: the built environment, family
and social obligations, temporal constraints, or a psychological delay factor (people delay a behavioral change until the
next life shock). To answer this question, we developed a survival model to treat (1) left-censoring, (2) partial observation,
and (3) multi-type exits. The results suggest that family and social obligations, as well as temporal constraints, appear
to play a more important role than the built environment. Support for the psychological delay factor is not evident. We also
found that the probability of having a significant change in discretionary time use is negatively related to time progression,
supporting the human adaptivity hypothesis.
Cynthia Chen is an assistant professor of Civil Engineering at the City College of New York. Her recent research interests have been in travel behavior dynamics and residential search and location process. Jason Chen is a Ph.D. candidate in the department of civil engineering at the City University of New York. His research interests include travel behavior analysis, travel demand modeling, and residential location analysis. 相似文献
Jason ChenEmail: |
Cynthia Chen is an assistant professor of Civil Engineering at the City College of New York. Her recent research interests have been in travel behavior dynamics and residential search and location process. Jason Chen is a Ph.D. candidate in the department of civil engineering at the City University of New York. His research interests include travel behavior analysis, travel demand modeling, and residential location analysis. 相似文献
11.
Philippe Barla Bernard Lamonde Luis F. Miranda-Moreno Nathalie Boucher 《Transportation》2009,36(4):389-402
This paper presents estimates of the rebound effect and other elasticities for the Canadian light-duty vehicle fleet using
panel data at the provincial level from 1990 to 2004. We estimate a simultaneous three-equation model of aggregate demand
for vehicle kilometers traveled, vehicle stock and fuel efficiency. Price and income elasticities obtained are broadly consistent
with those reported in the literature. Among other results, an increase in the fuel price of 10% would reduce driving by ~2%
in the long term and by 1% the average fuel consumption rate. Estimates of the short- and long-term rebound effects are ~8
and 20%, respectively. We also find that an increase in the gross domestic product per capita of 10% would cause an increase
in driving distance of 2–3% and an increase of up to 4% in vehicle stock per adult. In terms of policy implications, our results
suggest that: (1) the effectiveness of new fuel efficiency standards will be somewhat mitigated by the rebound effect and
(2) fuel price increases have limited impacts on gasoline demand.
Philippe Barla is full professor at the economics department of Université Laval. He is currently the director of the research center GREEN and is a member of CDAT. He is conducting theoretical and empirical research on energy efficiency in the transportation sector. Bernard Lamonde obtained his MA in economics in 2007 working on this project. He is working as an economist for Agence de l’efficacité énergique du Québec. Luis Miranda-Moreno is professor at McGill Department of Civil Engineering and Applied Mechanics. He was post-doctoral student at CDAT when this research was carried out. His research interests include road safety, travel behaviour and demand modeling. Nathalie Boucher holds a PhD in economics from Queens’ University. She is the executive director the CDAT a research center dedicated to improving knowledge about energy use in the Canadian private and commercial transportation sector. 相似文献
Philippe BarlaEmail: |
Philippe Barla is full professor at the economics department of Université Laval. He is currently the director of the research center GREEN and is a member of CDAT. He is conducting theoretical and empirical research on energy efficiency in the transportation sector. Bernard Lamonde obtained his MA in economics in 2007 working on this project. He is working as an economist for Agence de l’efficacité énergique du Québec. Luis Miranda-Moreno is professor at McGill Department of Civil Engineering and Applied Mechanics. He was post-doctoral student at CDAT when this research was carried out. His research interests include road safety, travel behaviour and demand modeling. Nathalie Boucher holds a PhD in economics from Queens’ University. She is the executive director the CDAT a research center dedicated to improving knowledge about energy use in the Canadian private and commercial transportation sector. 相似文献
12.
In transportation studies, variables of interest are often influenced by similar factors and have correlated latent terms
(errors). In such cases, a seemingly unrelated regression (SUR) model is normally used. However, most studies ignore the potential
temporal and spatial autocorrelations across observations, which may lead to inaccurate conclusions. In contrast, the SUR
model proposed in this study also considers these correlations, making the model more behaviorally convincing and applicable
to circumstances where a three-dimensional correlation exists, across time, space, and equations. An example of crash rates
in Chinese cities is used. The results show that incorporation of spatial and temporal effects significantly improves the
model. Moreover, investment in transportation infrastructure is estimated to have statistically significant effects on reducing
severe crash rates, but with an elasticity of only −0.078. It is also observed that, while vehicle ownership is associated
with higher per capita crash rates, elasticities for severe and non-severe crashes are just 0.13 and 0.18, respectively; much
lower than one. The techniques illustrated in this study should contribute to future studies requiring multiple equations
in the presence of temporal and spatial effects.
Ms. Xiaokun Wang is a doctoral student in the Department of Civil, Architectural and Environmental Engineering at the University of Texas at Austin. She received her B.S. and M.S. degrees at Tsinghua University, China. Her research topics range from travel demand modeling and integrated land use-transportation planning, to spatial econometrics, network analysis, and traffic safety analysis. She is a fellow of the International Road Federation. Dr. Kara Kockelman is a Associate Professor of Civil, Architectural & Environmental Engineering and the William J. Murray Jr. Fellow at the University of Texas, Austin. She holds a PhD, MS, and BS in Civil Engineering, a Masters of City Planning, and a minor in Economics from the University of California at Berkeley. She is Chair of the Transportation Research Board’s Committee on Travel Survey Methods. Her primary research interests include the statistical modeling of urban systems (including models of travel behavior, trade, and location choice), economic impacts of transport policy, crash occurrence and consequences, and transport policy-making. 相似文献
Kara M. Kockelman (Corresponding author)Email: |
Ms. Xiaokun Wang is a doctoral student in the Department of Civil, Architectural and Environmental Engineering at the University of Texas at Austin. She received her B.S. and M.S. degrees at Tsinghua University, China. Her research topics range from travel demand modeling and integrated land use-transportation planning, to spatial econometrics, network analysis, and traffic safety analysis. She is a fellow of the International Road Federation. Dr. Kara Kockelman is a Associate Professor of Civil, Architectural & Environmental Engineering and the William J. Murray Jr. Fellow at the University of Texas, Austin. She holds a PhD, MS, and BS in Civil Engineering, a Masters of City Planning, and a minor in Economics from the University of California at Berkeley. She is Chair of the Transportation Research Board’s Committee on Travel Survey Methods. Her primary research interests include the statistical modeling of urban systems (including models of travel behavior, trade, and location choice), economic impacts of transport policy, crash occurrence and consequences, and transport policy-making. 相似文献
13.
Amin T. Kiggundu 《Transportation》2009,36(3):275-294
Most major cities across the world today are facing an intractable challenge of financing public transport. In Kuala Lumpur
for example, public transport services are somewhat poor in part because of the failure of major operators to secure ample
funding. Previous funding programs implemented in the city have failed to produce a replicable model for financing public
transport. Due to numerous financial problems and the dismal performance of privately owned transport firms, the State has
in the recent past emerged as a key source of funding for the public transport sector in Kuala Lumpur. This article argues
that, despite the insuperable challenges, prospects for the future funding of public transport in Kuala Lumpur appears to
be good. The article also draws lessons from both Tokyo and Hong Kong. In order to address the funding deficit facing the
public transport industry in the city it is crucial that more viable strategies and policies such as value capture and public–private
sector partnerships are adopted by the urban authorities.
相似文献
Amin T. KiggunduEmail: |
14.
Lawrence Frank Mark Bradley Sarah Kavage James Chapman T. Keith Lawton 《Transportation》2008,35(1):37-54
The primary purpose of this study was to investigate how relative associations between travel time, costs, and land use patterns
where people live and work impact modal choice and trip chaining patterns in the Central Puget Sound (Seattle) region. By
using a tour-based modeling framework and highly detailed land use and travel data, this study attempts to add detail on the
specific land use changes necessary to address different types of travel, and to develop a comparative framework by which
the relative impact of travel time and urban form changes can be assessed. A discrete choice modeling framework adjusted for
demographic factors and assessed the relative effect of travel time, costs, and urban form on mode choice and trip chaining
characteristics for the three tour types. The tour based modeling approach increased the ability to understand the relative
contribution of urban form, time, and costs in explaining mode choice and tour complexity for home and work related travel.
Urban form at residential and employment locations, and travel time and cost were significant predictors of travel choice.
Travel time was the strongest predictor of mode choice while urban form the strongest predictor of the number of stops within
a tour. Results show that reductions in highway travel time are associated with less transit use and walking. Land use patterns
where respondents work predicted mode choice for mid day and journey to work travel.
Lawrence Frank is an Associate Professor and Bombardier Chair in Sustainable Transportation at the University of British Columbia and a Senior Non-Resident Fellow of the Brookings Institution and Principal of Lawrence Frank and Company. He has a PhD in Urban Design and Planning from the University of Washington. Mark Bradley is Principal, Mark Bradley Research & Consulting, Santa Barbara California. He has a Master of Science in Systems Simulation and Policy Design from the Dartmouth School of Engineering and designs forecasting and simulation models for assessment of market-based policies and strategies. Sarah Kavage is a Senior Transportation Planner and Special Projects Manager at Lawrence Frank and Company. She has a Masters in Urban Design and Planning from the University of Washington and is a writer and an artist based in Seattle. James Chapman is a Principal Transportation Planner and Analyst at Lawrence Frank and Company in Atlanta Georgia. He has a Masters in Engineering from the Georgia Institute of Technology. T. Keith Lawton transport modeling consultant and past Director of Technical services, Metro Planning Department, Portland, OR, has been active in model development for over 40 years. He has a BSc. in Civil Engineering from the University of Natal (South Africa), and an M.S. in Civil and Environmental Engineering from Duke University. He is a member and past Chair of the TRB Committee on Passenger Travel Demand Forecasting. 相似文献
T. Keith LawtonEmail: |
Lawrence Frank is an Associate Professor and Bombardier Chair in Sustainable Transportation at the University of British Columbia and a Senior Non-Resident Fellow of the Brookings Institution and Principal of Lawrence Frank and Company. He has a PhD in Urban Design and Planning from the University of Washington. Mark Bradley is Principal, Mark Bradley Research & Consulting, Santa Barbara California. He has a Master of Science in Systems Simulation and Policy Design from the Dartmouth School of Engineering and designs forecasting and simulation models for assessment of market-based policies and strategies. Sarah Kavage is a Senior Transportation Planner and Special Projects Manager at Lawrence Frank and Company. She has a Masters in Urban Design and Planning from the University of Washington and is a writer and an artist based in Seattle. James Chapman is a Principal Transportation Planner and Analyst at Lawrence Frank and Company in Atlanta Georgia. He has a Masters in Engineering from the Georgia Institute of Technology. T. Keith Lawton transport modeling consultant and past Director of Technical services, Metro Planning Department, Portland, OR, has been active in model development for over 40 years. He has a BSc. in Civil Engineering from the University of Natal (South Africa), and an M.S. in Civil and Environmental Engineering from Duke University. He is a member and past Chair of the TRB Committee on Passenger Travel Demand Forecasting. 相似文献
15.
An analysis of the social context of children’s weekend discretionary activity participation 总被引:3,自引:1,他引:2
This paper examines the discretionary time-use of children, including the social context of children’s participations. Specifically,
the paper examines participation and time investment in in-home leisure as well as five different types of out-of-home discretionary
activities: (1) shopping, (2) social, (3) meals, (4) passive recreation (i.e., physically inactive recreation, such as going
to the movies or a concert), and (5) active recreation (i.e., physically active recreation, such as playing tennis or running).
The social context of children’s activity participation is also examined by focusing on the accompanying individuals in children’s
activity engagement. The accompanying arrangement is classified into one of six categories: (1) alone, (2) with mother and
no one else, (3) with father and no one else, (4) with both mother and father, and no one else, (5) with other individuals,
but no parents, and (6) with other individuals and one or both parents. The utility-theoretic Multiple Discrete-Continuous
Extreme Value (MDCEV) is employed to model time-use in one or more activity purpose–company type combinations. The data used
in the analysis is drawn from the 2002 Child Development Supplement (CDS) to the U.S. Panel Study Income Dynamics (PSID).
The results from the model can be used to examine the time-use choices of children, as well as to assess the potential impacts
of urban and societal policies on children’s activity participation and time-use decisions. Our findings also emphasize the
need to collect, in future travel surveys, more extensive and higher quality data capturing the intra- and inter-household
interactions between individuals (including children). To our knowledge, the research in this paper is the first transportation-related
study to rigorously and comprehensively analyze the social dimension of children’s activity participation.
Ipek Nese Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Dr. Chandra R. Bhat has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE). 相似文献
Chandra R. Bhat (Corresponding author)Email: |
Ipek Nese Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Dr. Chandra R. Bhat has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE). 相似文献
16.
Explaining obesity with urban form: a cautionary tale 总被引:1,自引:0,他引:1
Tudor D. Bodea Laurie A. Garrow Michael D. Meyer Catherine L. Ross 《Transportation》2008,35(2):179-199
In recent years, there has been a dramatic increase in studies exploring associations between the built environment and obesity.
Many studies have found that built environment characteristics, such as high-density land developments, mixed-land uses, and
connected street networks, are associated with lower rates of obesity. However, depending on the research field and the researcher,
how one specifies the experimental model and how sociodemographic characteristics of the population are defined and included
in the model has led to different policy conclusions and implications. This is not a surprising observation; however, it is
one that does seem to have been lost in current discussions. This article highlights several data-processing, model-specification,
and model-estimation factors that should be comprehensively considered in studies of the built environment and obesity. Empirical
results based on data from Atlanta, GA, USA, illustrate that the association between the built environment and obesity is
sensitive to how age, income, and educational attainment are included in the model. Also, a detailed examination of land-use-mix
measures shows that it is difficult to create this measure and that results are sensitive to the treatment of missing values.
Models that distinguish between overweight and obese individuals are shown to provide richer insights into the associations
among obesity, built environment, and sociodemographic characteristics for the Atlanta area. The article concludes by offering
modeling recommendations for future studies.
Tudor D. Bodea is a doctoral student in the School of Civil and Environmental Engineering at the Georgia Institute of Technology. His doctoral work examines the integration of customer-choice models into optimization algorithms for travel-industry applications. Laurie A. Garrow is an assistant professor in the School and Civil and Environmental Engineering at the Georgia Institute of Technology. Her research addresses the development and application of advanced models of travel demand that integrate discrete choice, econometric, and market research methods to enhance understanding of travel behavior. Michael D. Meyer is professor in the School of Civil and Environmental Engineering and Director of the Georgia Transportation Institute at the Georgia Institute of Technology. He has written over 160 technical articles and has authored or coauthored numerous texts on transportation systems, planning, and policy, including a college textbook. In 2006, he was the chairman of the Transportation Research Board Executive Committee. Catherine L. Ross is Harry West professor in the City and Regional Planning Program and Director of the Center for Quality Growth and Regional Development at the Georgia Institute of Technology. She has published extensively in the fields of urban planning, transportation planning, and public participation. She is the coauthor of The Inner City: Urban Poverty and Economic Development in the next Century. 相似文献
Laurie A. GarrowEmail: |
Tudor D. Bodea is a doctoral student in the School of Civil and Environmental Engineering at the Georgia Institute of Technology. His doctoral work examines the integration of customer-choice models into optimization algorithms for travel-industry applications. Laurie A. Garrow is an assistant professor in the School and Civil and Environmental Engineering at the Georgia Institute of Technology. Her research addresses the development and application of advanced models of travel demand that integrate discrete choice, econometric, and market research methods to enhance understanding of travel behavior. Michael D. Meyer is professor in the School of Civil and Environmental Engineering and Director of the Georgia Transportation Institute at the Georgia Institute of Technology. He has written over 160 technical articles and has authored or coauthored numerous texts on transportation systems, planning, and policy, including a college textbook. In 2006, he was the chairman of the Transportation Research Board Executive Committee. Catherine L. Ross is Harry West professor in the City and Regional Planning Program and Director of the Center for Quality Growth and Regional Development at the Georgia Institute of Technology. She has published extensively in the fields of urban planning, transportation planning, and public participation. She is the coauthor of The Inner City: Urban Poverty and Economic Development in the next Century. 相似文献
17.
Studying travel-related individual assessments and desires by combining hierarchically structured ordinal variables 总被引:1,自引:1,他引:0
Ordinal measures are frequently encountered in travel behavior research. This paper presents a new method for combining them
when a hierarchical structure of the data can be presumed. This method is applied to study the subjective assessment of the
amount of travel by different transportation modes among a group of French clerical workers, along with the desire to increase
or decrease the use of such modes. Some advantages of this approach over traditional data reduction technique such as factor
analysis when applied to ordinal data are then illustrated. In this study, combining evidence from several variables sheds
light on the observed moderately negative relationship between the personal assessment of the amount of travel and the desire
to increase or decrease it, thus integrating previous partial (univariate) results. We find a latent demand for travel, thus
contributing to clarify the behavioral mechanisms behind the induced traffic phenomenon. Categorizing the above relationship
by transportation mode shows a desire for a less environmental-friendly mix of modes (i.e., a greater desire to use heavy
motorized modes and a lower desire to use two-wheeled modes), whenever the respondents do not feel to travel extensively.
This result, combined with previous theoretical investigations concerning the determinants of the desire to alter trips consumption
levels, shows the importance of making people aware of how much they travel.
Marco Diana is a permanent researcher working at the Department of Hydraulics, Transport and Civil Infrastructures of Politecnico di Torino, Italy. His research interests include the study of innovative forms of public transport services and the analysis of multimodality behaviors. Tingting Song is a Scientific Programmer at The Rockefeller University, Center for Clinical and Translational Science, Biostatistics, Epidemiology, and Research Design Core, New York, NY, USA. She works on algorithms for non-parametric methods and their applications in medical research. She maintains the muStat package on CRAN.r-project.org and the Web server on muStat.rockefeller.edu. Knut M. Wittkowski is a Senior Research Associate at The Rockefeller University and Head of Biostatistics, Epidemiology, and Research Design at its Center for Clinical and Translational Science, New York, NY, USA. His research focuses on methods, meta data, and user interfaces to integrate nonparametric statistics into research and decision support systems. 相似文献
Knut M. WittkowskiEmail: |
Marco Diana is a permanent researcher working at the Department of Hydraulics, Transport and Civil Infrastructures of Politecnico di Torino, Italy. His research interests include the study of innovative forms of public transport services and the analysis of multimodality behaviors. Tingting Song is a Scientific Programmer at The Rockefeller University, Center for Clinical and Translational Science, Biostatistics, Epidemiology, and Research Design Core, New York, NY, USA. She works on algorithms for non-parametric methods and their applications in medical research. She maintains the muStat package on CRAN.r-project.org and the Web server on muStat.rockefeller.edu. Knut M. Wittkowski is a Senior Research Associate at The Rockefeller University and Head of Biostatistics, Epidemiology, and Research Design at its Center for Clinical and Translational Science, New York, NY, USA. His research focuses on methods, meta data, and user interfaces to integrate nonparametric statistics into research and decision support systems. 相似文献
18.
Role of the built environment on mode choice decisions: additional evidence on the impact of density 总被引:5,自引:2,他引:3
Density is a key component in the recent surge of mixed-use neighborhood developments. Empirical research has shown an inconsistent
picture on the impact of density. In particular, it is unclear whether it is the density or the variables that go long with
density that affect people’s travel behavior. Many existing studies on density neglect confounding factors, for example, residential
self-selection, generalized travel cost, accessibility, and access to transit stations. In addition, most still use a single
trip as their observation unit, even though trip chaining is well recognized. The goal of this paper is to assess the role
of density in affecting mode choice decisions in home-based work tours, while controlling for confounding factors. Using the
dataset collected in the New York Metropolitan Region, we estimated a simultaneous two-equation system comprising two mutually
interacting dependent variables: car ownership and the propensity to use auto. The results confirm the role of density after
controlling for the confounding factors; in particular, employment density at work exerts more influence than residential
density at home. The study also demonstrates the importance of using tour as the analysis unit in mode choice decisions. The
study advances the field by analyzing the role of the built environment on home-based work tours. New knowledge is obtained
in the relative contribution of density vs. a set of correlated factors, including generalized travel cost, accessibility,
and access to transit stations.
Cynthia Chen is an Assistant Professor in Civil Engineering at City College of New York. Her research expertise and interests are residential location and activity and travel choices and human’s interaction with the environment. Hongmian Gong is an Associate Professor in Geography at Hunter College of the City University of New York. Her research interests are urban geography, urban transportation, and urban GIS. Robert Paaswell is currently Distinguished Professor of Civil Engineering and Director of the University Transportation Research Center at the City College of New York. He currently serves on several NY MTA Commissions. 相似文献
Robert PaaswellEmail: |
Cynthia Chen is an Assistant Professor in Civil Engineering at City College of New York. Her research expertise and interests are residential location and activity and travel choices and human’s interaction with the environment. Hongmian Gong is an Associate Professor in Geography at Hunter College of the City University of New York. Her research interests are urban geography, urban transportation, and urban GIS. Robert Paaswell is currently Distinguished Professor of Civil Engineering and Director of the University Transportation Research Center at the City College of New York. He currently serves on several NY MTA Commissions. 相似文献
19.
When a new public transport service is introduced it would be valuable for public authorities, financing organisations and
transport operators to know how long it will take for people to start to use the service and what factors influence this.
This paper presents results from research analysing the time taken for residents living close to a new guided bus service
to start to use (or adopt) the service. Data was obtained from a sample of residents on whether they used the new service
and the number of weeks after the service was introduced before they first used it. Duration modelling has been used to analyse
how the likelihood of starting to use the new service changes over time (after the introduction of the service) and to examine
what factors influence this. It is found that residents who have not used the new service are increasingly unlikely to use
it as time passes. Those residents gaining greater accessibility benefits from the new service are found to be quicker to
use the service, although the size of this effect is modest compared to that of other between-resident differences. Allowance
for the possibility that there existed a proportion of the sample that would never use the new service was tested using a
split population model (SPD) model. The SPD model indicates that 36% of residents will never use the new service and is informative
in differentiating factors that influence whether Route 20 is used and when it is used.
Kiron Chatterjee has been a Senior Lecturer at the University of the West of England, Bristol, since 2003 and previously was at the University of Southampton. Currently, a main focus of his research is on longitudinal analysis of travel behaviour to improve policy analysis. Kang-Rae Ma received a PhD in Planning from University College London. He worked at the University of the West of England, Bristol, and the Korea Transport Institute before he joined Chung-Ang University as an Assistant Professor. His research interests include modelling of travel behaviour and urban excess commuting. 相似文献
Kang-Rae MaEmail: |
Kiron Chatterjee has been a Senior Lecturer at the University of the West of England, Bristol, since 2003 and previously was at the University of Southampton. Currently, a main focus of his research is on longitudinal analysis of travel behaviour to improve policy analysis. Kang-Rae Ma received a PhD in Planning from University College London. He worked at the University of the West of England, Bristol, and the Korea Transport Institute before he joined Chung-Ang University as an Assistant Professor. His research interests include modelling of travel behaviour and urban excess commuting. 相似文献
20.
Railway reforms: do they influence operating efficiency? 总被引:1,自引:0,他引:1
This paper considers railway operations in 23 European countries during 1995–2001, where a series of reform initiatives were
launched by the European Commission, and analyses whether these reform initiatives improved the efficiency of the railway
systems. Efficiency is measured using Multi-directional Efficiency Analysis, which enables investigation of how railway reforms
affect the inefficiencies of specific cost drivers. The main findings are that the reform initiatives generally improve technical
efficiency but potentially differently for different cost drivers. Specifically, the paper provides empirical evidence that
accounting separation is important for improving the efficiency in the use of both material and staff costs, whereas other
reforms only influenced one of these factors.
Mette Asmild is Associate Professor in Operational Research at Warwick Business School (UK). Her main research interests are theoretical developments and practical applications of efficiency and productivity analysis techniques, particularly Data Envelopment Analysis. Torben Holvad is Economic Adviser at the European Railway Agency (France), senior research associate at the Transport Studies Unit (University of Oxford) and external associate professor at the Department of Transport (Danish Technical University). He obtained Economics degrees from Copenhagen University (MSc) and the European University Institute in Florence (PhD). Jens Leth Hougaard is Professor in Applied Microeconomics at Department of Food and Resource Economics, University of Copenhagen. His main research interests are related to applied microeconomics and include Efficiency Analysis and Benchmarking. Currently, he is working with cost sharing methods and allocation in networks. Dorte Kronborg is MSc in mathematical statistics from the University of Aarhus and Associate Professor at Center for Statistics, Department of Finance, Copenhagen Business School. Her primary research interests are applications and development of mathematical statistical methods within business economics. 相似文献
Dorte KronborgEmail: |
Mette Asmild is Associate Professor in Operational Research at Warwick Business School (UK). Her main research interests are theoretical developments and practical applications of efficiency and productivity analysis techniques, particularly Data Envelopment Analysis. Torben Holvad is Economic Adviser at the European Railway Agency (France), senior research associate at the Transport Studies Unit (University of Oxford) and external associate professor at the Department of Transport (Danish Technical University). He obtained Economics degrees from Copenhagen University (MSc) and the European University Institute in Florence (PhD). Jens Leth Hougaard is Professor in Applied Microeconomics at Department of Food and Resource Economics, University of Copenhagen. His main research interests are related to applied microeconomics and include Efficiency Analysis and Benchmarking. Currently, he is working with cost sharing methods and allocation in networks. Dorte Kronborg is MSc in mathematical statistics from the University of Aarhus and Associate Professor at Center for Statistics, Department of Finance, Copenhagen Business School. Her primary research interests are applications and development of mathematical statistical methods within business economics. 相似文献