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Effects of incorporating latent and attitudinal information in mode choice models

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  • Khandker M. Nurul Habib
  • Md. Hamid Zaman

Abstract

Hybrid choice modelling approaches allow latent variables in mode choice utility functions to be addressed. However, defining attitude and behavior as latent variables is influenced by the researcher's assumptions. Therefore, it is better to capture the effects of latent behavioral and attitudinal factors as latent variables than defining behaviors and attitudes per se. This article uses a hybrid choice model for capturing such latent effects, which will herein be referred to as modal captivity effects in commuting mode choice. Latent modal captivity refers to the unobserved and apparently unexplained attraction towards a specific mode of transportation that is resulting from latent attitude and behavior of passengers in addition to the urban transportation system. In empirical models, the latent modal captivity variables are explained as functions of different observed variables. Empirical models show significant improvement in fitting observed data as well as improved understanding of travel behavior.

Suggested Citation

  • Khandker M. Nurul Habib & Md. Hamid Zaman, 2012. "Effects of incorporating latent and attitudinal information in mode choice models," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(5), pages 561-576, June.
    • Handle: RePEc:taf:transp:v:35:y:2012:i:5:p:561-576
    DOI: 10.1080/03081060.2012.701815
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    References listed on IDEAS

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    Cited by:

    1. Rafael Maldonado-Hinarejos & Aruna Sivakumar & John Polak, 2014. "Exploring the role of individual attitudes and perceptions in predicting the demand for cycling: a hybrid choice modelling approach," Transportation, Springer, vol. 41(6), pages 1287-1304, November.
    2. Bouscasse, H., 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers 2018-07, Grenoble Applied Economics Laboratory (GAEL).
    3. Pan Shuangli & Zheng Guijun & Chen Qun, 2020. "The Psychological Decision-Making Process Model of Giving up Driving under Parking Constraints from the Perspective of Sustainable Traffic," Sustainability, MDPI, vol. 12(17), pages 1-19, September.
    4. Yan Han & Wanying Li & Shanshan Wei & Tiantian Zhang, 2018. "Research on Passenger’s Travel Mode Choice Behavior Waiting at Bus Station Based on SEM-Logit Integration Model," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
    5. Hélène Bouscasse, 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers hal-01795630, HAL.

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