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A P-Hub Location Problem for Determining Park-and-Ride Facility Locations with the Weibit-Based Choice Model

Author

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  • Songyot Kitthamkesorn

    (Department of Civil Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
    Excellence Center in Infrastructure Technology and Transportation Engineering (ExCITE), Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Anthony Chen

    (Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
    Shenzhen Research Institute, The Hong Kong Polytechnic University, Shenzhen 518040, China)

  • Sathaporn Opasanon

    (Department of International Business, Logistics and Transport, Faculty of Commerce and Accountancy, Thammasat University, Bangkok 10200, Thailand)

  • Suwicha Jaita

    (Excellence Center in Infrastructure Technology and Transportation Engineering (ExCITE), Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand)

Abstract

Park and ride (P&R) facilities provide intermodal transfer between private vehicles and public transportation systems to alleviate urban congestion. This study developed a mathematical programming formulation for determining P&R facility locations. A recently developed Weibit-based model was adopted to represent the traveler choice behavior with heterogeneity. The model’s independence of irrelevant alternatives (IIA) property was explored and used to linearize its nonlinear probability. Some numerical examples are provided to demonstrate a feature of the proposed mixed integer linear programing (MILP). The results indicate a significant impact of route-specific perception variance on the optimal P&R facility locations in a real-size transportation network.

Suggested Citation

  • Songyot Kitthamkesorn & Anthony Chen & Sathaporn Opasanon & Suwicha Jaita, 2021. "A P-Hub Location Problem for Determining Park-and-Ride Facility Locations with the Weibit-Based Choice Model," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7928-:d:595114
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    References listed on IDEAS

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    Cited by:

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    2. Songyot Kitthamkesorn & Anthony Chen, 2024. "Stochastic User Equilibrium Model with a Bounded Perceived Travel Time," Papers 2402.18435, arXiv.org.
    3. Kitthamkesorn, Songyot & Chen, Anthony & Ryu, Seungkyu & Opasanon, Sathaporn, 2024. "Maximum capture problem based on paired combinatorial weibit model to determine park-and-ride facility locations," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    4. Guillot, Matthieu & Rey, David & Furno, Angelo & El Faouzi, Nour-Eddin, 2024. "A stochastic hub location and fleet assignment problem for the design of reconfigurable park-and-ride systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    5. Kitthamkesorn, Songyot & Chen, Anthony, 2024. "Maximum capture problem for urban air mobility network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    6. Nazam Ali & Shoichiro Nakayama & Hiromichi Yamaguchi, 2021. "Analysis of Bus Fare Structure to Observe Modal Shift, Operator Profit, and Land-Use Choices through Combined Unified Transport Model," Sustainability, MDPI, vol. 14(1), pages 1-17, December.
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    8. Gu, Yu & Chen, Anthony & Kitthamkesorn, Songyot, 2022. "Weibit choice models: Properties, mode choice application and graphical illustrations," Journal of choice modelling, Elsevier, vol. 44(C).
    9. Shiqian Ji & Jiaming Zhong & Zhaocheng He, 2022. "A Bus Subsidy Scheme Design Model Considering Competition between Bus Companies," Sustainability, MDPI, vol. 14(7), pages 1-19, April.

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