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Modeling disaggregate behavioral modal switching models based on intention data

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  • Hirobata, Yasuhiro
  • Kawakami, Shogo

Abstract

The purpose of this paper is to develop a disaggregate behavioral model which directly predicts traveler's modal switching behavior due to a transport service change. Based on the random utility theory, several disaggregate modal switching models are formulated, which incorporate resistance to change in modal switching behavior. These models are estimated using stated preference data obtained from an originally designed questionnaire survey. An empirical examination shows that it is very important to incorporate state dependence effects into disaggregate modal choice models.

Suggested Citation

  • Hirobata, Yasuhiro & Kawakami, Shogo, 1990. "Modeling disaggregate behavioral modal switching models based on intention data," Transportation Research Part B: Methodological, Elsevier, vol. 24(1), pages 15-25, February.
    • Handle: RePEc:eee:transb:v:24:y:1990:i:1:p:15-25
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    Cited by:

    1. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90260, University Library of Munich, Germany.
    2. Elisabetta Cherchi & Francesco Manca, 2011. "Accounting for inertia in modal choices: some new evidence using a RP/SP dataset," Transportation, Springer, vol. 38(4), pages 679-695, July.
    3. Javier D. Donna, 2021. "Measuring long‐run gasoline price elasticities in urban travel demand," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 945-994, December.
    4. Yiming Shao & Zhugen Wang & Zhiwei Zhou & Haojing Chen & Yuanlong Cui & Zhenghuan Zhou, 2022. "Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
    5. Diana, Marco & Mokhtarian, Patricia L, 2008. "Travelers’ segmentation based on multimodality behaviors and attitudes," Institute of Transportation Studies, Working Paper Series qt2cb1z6v7, Institute of Transportation Studies, UC Davis.
    6. Alessandro Vacca & Carlo Giacomo Prato & Italo Meloni, 2019. "Should I stay or should I go? Investigating route switching behavior from revealed preferences data," Transportation, Springer, vol. 46(1), pages 75-93, February.

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