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Parameter Estimation for Combined Travel Choice Models

In: Network Infrastructure and the Urban Environment

Author

Listed:
  • David E. Boyce

    (University of Illinois at Chicago)

  • Yu-Fang Zhang

    (New York Metropolitan Transportation Council)

Abstract

Parameter estimation for individual travel choice models of the logit type has become a relatively routine exercise with the availability of modem statistical software (Ben- Akiva and Lerman, 1985; Oppenheim, 1995). For example, relatively complex mode choice models with nested submode models are now widely applied. Models which combine trip assignment with other steps of the travel forecasting procedure, however, remain an academic curiosity, despite their successful application to planning problems in Chicago and Stockholm (Boyce et al., 1992; Abrahamsson and Lundqvist, 1998). These combined models present estimation problems, moreover, which have not been addressed in the context of logit model estimation.

Suggested Citation

  • David E. Boyce & Yu-Fang Zhang, 1998. "Parameter Estimation for Combined Travel Choice Models," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), Network Infrastructure and the Urban Environment, chapter 10, pages 177-193, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-72242-4_10
    DOI: 10.1007/978-3-642-72242-4_10
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    Cited by:

    1. Boyce, David & Mattsson, Lars-Göran, 1999. "Modeling residential location choice in relation to housing location and road tolls on congested urban highway networks," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 581-591, November.
    2. Tu, Ningwen & Adiputranto, Dimas & Fu, Xiaowen & Li, Zhi-Chun, 2018. "Shipping network design in a growth market: The case of Indonesia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 108-125.

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