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Modeling heterogeneous parking choice behavior on university campuses

Author

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  • Fanyu Meng
  • Yuchuan Du
  • Yuen Chong Li
  • S. C. Wong

Abstract

Studies on campus parking indicate more severe problems and a wider range of characteristics than commercial parking because of limited parking places, special conditions, specific policies and enclosed space on university campuses. Heterogeneous characteristics are usually ignored in analyses of campus parking behavior. In this paper, a mixed logit model is applied to analyze parking choice behavior on a campus using data collected from a stated-preference survey of Tongji University, Shanghai, China. The heterogeneity of individuals with various sociodemographic characteristics is evaluated by interaction terms and random parameters. Comparison between the proposed approach and the conditional logit model shows that the results of the mixed logit model are more interpretable because they are not limited by the independence from irrelevant alternatives assumption. Key factors that have considerable effects on campus parking choices are identified and analyzed. Important regularities are also concluded from elasticity analyses. Finally, the campus is divided into two areas according to the walking distance to a new parking lot, and the modeling results show that area-specific policies should be established because the two areas have quite distinct parking choice features.

Suggested Citation

  • Fanyu Meng & Yuchuan Du & Yuen Chong Li & S. C. Wong, 2018. "Modeling heterogeneous parking choice behavior on university campuses," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(2), pages 154-169, February.
    • Handle: RePEc:taf:transp:v:41:y:2018:i:2:p:154-169
    DOI: 10.1080/03081060.2018.1407518
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    Cited by:

    1. Premaratne Samaranayake & Upul Gunawardana, 2022. "Parking Assessment in the Context of Growing Construction Activity and Infrastructure Changes: Simulation of Impact Scenarios," Sustainability, MDPI, vol. 14(9), pages 1-28, April.
    2. Navid Nadimi & Mohammad Ali Zayandehroodi & Rosalia Camporeale & Morteza Asadamraji, 2023. "A Framework for Providing Information about Parking Spaces," Sustainability, MDPI, vol. 15(19), pages 1-16, October.
    3. Parmar, Janak & Saiyed, Gulnazbanu & Dave, Sanjaykumar, 2023. "Analysis of taste heterogeneity in commuters’ travel decisions using joint parking– and mode–choice model: A case from urban India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    4. Premaratne Samaranayake & Upul Gunawardana & Michael Stokoe, 2023. "Kerbside Parking Assessment Using a Simulation Modelling Approach for Infrastructure Planning—A Metropolitan City Case Study," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    5. Janak Parmar & Gulnazbanu Saiyed & Sanjaykumar Dave, 2021. "Analysis of taste heterogeneity in commuters travel decisions using joint parking and mode choice model: A case from urban India," Papers 2109.01045, arXiv.org, revised Oct 2023.

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