Hierarchical ordering of nests in a joint mode and destination choice model

This paper seeks to explore the relationship between mode and destination choice in an integrated nested choice model. A fundamental argument can be made that in certain circumstances, the ordering of choices should be reversed from the usual sequence of destination choice preceding mode choice. This results in a travel demand model where travelers are more likely to change destinations than to change transportation modes. For small and medium size urban areas, particularly in the United States, with less well developed public transit systems that draw few choice riders, this assumption makes much more sense than the traditional modeling assumptions. The models used in the new travel modeling system developed for Knoxville, Tennessee utilize this reversed ordering, with generally good results, which required no external tinkering in the logsum parameters.

[1]  Moshe Ben-Akiva,et al.  PII: S0965-8564(99)00043-9 , 2000 .

[2]  Piet Rietveld,et al.  Modelling the Joint Access Mode and Railway Station Choice , 2007 .

[3]  Chandra R. Bhat,et al.  Numerical Analysis of Effect of Sampling of Alternatives in Discrete Choice Models , 2004 .

[4]  A S Fotheringham,et al.  Some Theoretical Aspects of Destination Choice and Their Relevance to Production-Constrained Gravity Models , 1983 .

[5]  A. Fotheringham,et al.  Modelling Hierarchical Destination Choice , 1986 .

[6]  Vincent L. Bernardin A trip-based travel demand framework consistent with tours and stop interaction , 2008 .

[7]  T. Abrahamsson,et al.  Formulation and Estimation of Combined Network Equilibrium Models with Applications to Stockholm , 1999, Transp. Sci..

[8]  Hai Yang,et al.  Transport bilevel programming problems: recent methodological advances , 2001 .

[9]  Mark Bradley,et al.  White Paper for the Conference on Innovations in Travel Demand Modeling, Austin, TX, May 2006 A Summary of Design Features of Activity-Based Microsimulation Models for U.S. MPOs , 2006 .

[10]  F. Koppelman,et al.  Alternative nested logit models: structure, properties and estimation , 1998 .

[11]  Steven R Lerman,et al.  LOCATION, HOUSING, AUTOMOBILE OWNERSHIP, AND MODE TO WORK: A JOINT CHOICE MODEL , 1976 .

[12]  David Boyce,et al.  Comparisons of Urban Travel Forecasts Prepared with the Sequential Procedure and a Combined Model , 2006 .

[13]  Kay W. Axhausen,et al.  The impact of tilting trains in Switzerland: a route choice model of regional- and long distance public transport trips , 2002 .

[14]  David Boyce,et al.  Is the sequential travel forecasting paradigm counterproductive , 2002 .

[15]  Moshe Ben-Akiva,et al.  STRUCTURE OF PASSENGER TRAVEL DEMAND MODELS , 1974 .

[16]  Matthew J. Roorda,et al.  A tour-based model of travel mode choice , 2005 .

[17]  Ryuichi Kitamura,et al.  SEQUENTIAL MODEL OF INTERDEPENDENT ACTIVITY AND DESTINATION CHOICES , 1984 .

[18]  Moshe Ben-Akiva,et al.  A simultaneous destination and mode choice model for shopping trips , 1974 .

[19]  Abolfazl Mohammadian,et al.  Joint Models of Home-Based Tour Mode and Destination Choices , 2008 .

[20]  D. Hensher Sequential and Full Information Maximum Likelihood Estimation of a Nested Logit Model , 1986 .

[21]  Joel Freedman,et al.  Development of Microsimulation Activity-Based Model for San Francisco: Destination and Mode Choice Models , 2001 .

[22]  David E. Boyce,et al.  Enhanced Destination Choice Models Incorporating Agglomeration Related to Trip Chaining While Controlling for Spatial Competition , 2009 .