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Choice set generation within the generalized extreme value family of discrete choice models

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  • Swait, Joffre

Abstract

This paper introduces a new member of the generalized extreme value (GEV) family of discrete choice models that directly incorporates choice set generation modeling into the specification via the GEV generating function. Though still a two-stage model of choice set generation and choice, the proposed model specifies choice set generation endogenously and directly reflective of preferences, which further differentiates it from extant models of choice set formation. The properties of the model, denominated GenL (choice set Generation Logit), are examined in detail. A case study involving intercity mode choice by non-business travelers is presented to illustrate model estimation and interpretation, as well as to obtain insights into possible data generation process characteristics that lead to violation of GEV conditions for the model.

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Bibliographic Info

Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

Volume (Year): 35 (2001)
Issue (Month): 7 (August)
Pages: 643-666

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Handle: RePEc:eee:transb:v:35:y:2001:i:7:p:643-666

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  1. Gaundry, Marc J. I. & Dagenais, Marcel G., 1979. "The dogit model," Transportation Research Part B: Methodological, Elsevier, vol. 13(2), pages 105-111, June.
  2. Herriges, Joseph A. & Kling, Catherine L., 1996. "Testing the Consistency of Nested Logit Models with Utility Maximization," Staff General Research Papers 1500, Iowa State University, Department of Economics.
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Citations

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Cited by:
  1. Hicks, Robert L. & Schnier, Kurt E., 2010. "Spatial regulations and endogenous consideration sets in fisheries," Resource and Energy Economics, Elsevier, vol. 32(2), pages 117-134, April.
  2. Chorus, Caspar G. & Timmermans, Harry J.P., 2009. "Measuring user benefits of changes in the transport system when traveler awareness is limited," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 536-547, June.
  3. Basar, Gözen & Bhat, Chandra, 2004. "A parameterized consideration set model for airport choice: an application to the San Francisco Bay Area," Transportation Research Part B: Methodological, Elsevier, vol. 38(10), pages 889-904, December.
  4. Chorus, Caspar G. & Arentze, Theo A. & Molin, Eric J.E. & Timmermans, Harry J.P. & Van Wee, Bert, 2006. "The value of travel information: Decision strategy-specific conceptualizations and numerical examples," Transportation Research Part B: Methodological, Elsevier, vol. 40(6), pages 504-519, July.
  5. Han, Qi & Arentze, Theo & Timmermans, Harry & Janssens, Davy & Wets, Geert, 2011. "The effects of social networks on choice set dynamics: Results of numerical simulations using an agent-based approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 310-322, May.
  6. Deutsch, Kathleen & Yoon, SeoYoun & Goulias, Konstadinos G., 2011. "Using Sense of Place to Model Behavioral Choices," University of California Transportation Center, Working Papers qt99c1k2kr, University of California Transportation Center.
  7. Zolfaghari, Alireza & Sivakumar, Aruna & Polak, John, 2013. "Simplified probabilistic choice set formation models in a residential location choice context," Journal of choice modelling, Elsevier, vol. 9(C), pages 3-13.
  8. Sasic, Ana & Habib, Khandker Nurul, 2013. "Modelling departure time choices by a Heteroskedastic Generalized Logit (Het-GenL) model: An investigation on home-based commuting trips in the Greater Toronto and Hamilton Area (GTHA)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 15-32.
  9. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
  10. Deutsch, Kathleen E & Yoon, Seo Youn & Goulias, Konstadinos G., 2011. "Using Sense of Place to Model Behavioral Choices," University of California Transportation Center, Working Papers qt78t5j0x1, University of California Transportation Center.
  11. Jordan Louviere & Kenneth Train & Moshe Ben-Akiva & Chandra Bhat & David Brownstone & Trudy Cameron & Richard Carson & J. Deshazo & Denzil Fiebig & William Greene & David Hensher & Donald Waldman, 2005. "Recent Progress on Endogeneity in Choice Modeling," Marketing Letters, Springer, vol. 16(3), pages 255-265, December.
  12. Coltman, Tim & Devinney, Timothy M. & Keating, Byron W., 2010. "Best-worst scaling approach to predict customer choice for 3PL services," MPRA Paper 40492, University Library of Munich, Germany.
  13. Abbe, E. & Bierlaire, M. & Toledo, T., 2007. "Normalization and correlation of cross-nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 795-808, August.
  14. Tim R.L. Fry & Mark N. Harris, 2002. "The DOGEV Model," Monash Econometrics and Business Statistics Working Papers 7/02, Monash University, Department of Econometrics and Business Statistics.
  15. Daly, Andrew & Bierlaire, Michel, 2006. "A general and operational representation of Generalised Extreme Value models," Transportation Research Part B: Methodological, Elsevier, vol. 40(4), pages 285-305, May.
  16. Kaplan, Sigal & Shiftan, Yoram & Bekhor, Shlomo, 2012. "Development and estimation of a semi-compensatory model with a flexible error structure," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 291-304.
  17. Farooq, Bilal & Miller, Eric J., 2012. "Towards integrated land use and transportation: A dynamic disequilibrium based microsimulation framework for built space markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1030-1053.
  18. Sigal Kaplan & Yoram Shiftan & Shlomo Bekhor, 2011. "A Semi-Compensatory Residential Choice Model With Flexible Error Structure," ERSA conference papers ersa10p65, European Regional Science Association.
  19. Zhang, Junyi & Timmermans, Harry & Borgers, Aloys & Wang, Donggen, 2004. "Modeling traveler choice behavior using the concepts of relative utility and relative interest," Transportation Research Part B: Methodological, Elsevier, vol. 38(3), pages 215-234, March.
  20. Berry Blijie, 2004. "A Theoretical Model for Measuring the Influence of Accessibility in Residential Choice Behaviour," ERSA conference papers ersa04p185, European Regional Science Association.
  21. Koppelman, Frank S. & Sethi, Vaneet, 2005. "Incorporating variance and covariance heterogeneity in the Generalized Nested Logit model: an application to modeling long distance travel choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 39(9), pages 825-853, November.
  22. Cascetta, Ennio & Papola, Andrea, 2009. "Dominance among alternatives in random utility models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 170-179, February.
  23. Swait, Joffre, 2009. "Choice models based on mixed discrete/continuous PDFs," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 766-783, August.
  24. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.
  25. Mike Burton & Dan Rigby, 2009. "Hurdle and Latent Class Approaches to Serial Non-Participation in Choice Models," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 42(2), pages 211-226, February.

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