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Mixed Logit Models for Travelers’ Mode Shifting Considering Bike-Sharing

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  • Mao Ye

    (Traffic Engineering Department, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Yajing Chen

    (Traffic Engineering Department, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Guixin Yang

    (Transport Authority of Transport Department of Jiangsu Province, Nanjing 210094, China)

  • Bo Wang

    (Traffic Engineering Department, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Qizhou Hu

    (Traffic Engineering Department, Nanjing University of Science and Technology, Nanjing 210094, China)

Abstract

This study quantifies the impact of individual attributes, the built environment, and travel characteristics on the use of bike-sharing and the willingness of shifting to bike-sharing-related travel modes (bike-sharing combined with other public transportation modes such as bus and subway) under different scenarios. The data are from an RP (Revealed Preference) survey and SP (Stated Preference) survey in Nanjing, China. Three mixed logit models are established: an individual attribute–travel characteristics model, a various-factor bike-sharing usage frequency model, and a mixed scenario–transfer willingness model. It is found that age and income are negatively associated with bike-sharing usage; the transfer distance (about 1 km), owning no car, students, and enterprises are positively associated with bike-sharing usage; both weather and travel distance have a significant negative impact on mode shifting. The sesearch conclusions can provide a reference for the formulation of urban transportation policies, the daily operation scheduling, and service optimization of bike-sharing.

Suggested Citation

  • Mao Ye & Yajing Chen & Guixin Yang & Bo Wang & Qizhou Hu, 2020. "Mixed Logit Models for Travelers’ Mode Shifting Considering Bike-Sharing," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:2081-:d:329951
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    References listed on IDEAS

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    Cited by:

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    3. Wang, Yacan & Douglas, Matthew & Hazen, Benjamin, 2021. "Diffusion of public bicycle systems: Investigating influences of users’ perceived risk and switching intention," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 1-13.
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