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Modeling park-and-ride location choice of heterogeneous commuters

Author

Listed:
  • Hao Pang

    (University of Texas at Austin)

  • Alireza Khani

    (University of Minnesota)

Abstract

There is extensive literature on drive-to-transit trips, yet very few studies focus on commuters’ park-and-ride location choice decisions. This study investigates park-and-ride location choice behavior of heterogeneous commuters in the Austin Metropolitan Statistical Area. Data from a transit on-board survey conducted by Capital Metro in 2010 were used. Besides, schedule-based transit networks and a detailed regional highway network were used to calculate path attributes. A thorough analysis on the choice set generation was conducted, and two criteria were used to determine the most appropriate park-and-ride choice set for each observed trip. Finally, user heterogeneity was accounted by adding interaction terms in the utility functions and by using mixed logit models. Empirical models reveal that designation of a park-and-ride facility by transit agency and the frequency of transit paths to destination have the highest positive effect, while transit transfers, auto travel time, and walking time have the most significant negative impact on the utility of a park-and-ride location. More specifically, correlation analysis reveals that travelers who are more likely to be motivated by short auto travel time are also more likely to be motivated by few transfers and short walking time. In addition, this study implies that non-Caucasians prefer higher fraction of their auto path on freeways; and commuters with higher income are less motivated by high transit service frequency. The estimated models in this study can have immediate application in travel forecasting, specifically for drive-to-transit trip assignment, as well as in setting policy for park-and-rides service design.

Suggested Citation

  • Hao Pang & Alireza Khani, 2018. "Modeling park-and-ride location choice of heterogeneous commuters," Transportation, Springer, vol. 45(1), pages 71-87, January.
    • Handle: RePEc:kap:transp:v:45:y:2018:i:1:d:10.1007_s11116-016-9723-5
    DOI: 10.1007/s11116-016-9723-5
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    References listed on IDEAS

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    1. Debrezion, Ghebreegziabiher & Pels, Eric & Rietveld, Piet, 2009. "Modelling the joint access mode and railway station choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 270-283, January.
    2. Vincent Chakour & Naveen Eluru, 2014. "Analyzing commuter train user behavior: a decision framework for access mode and station choice," Transportation, Springer, vol. 41(1), pages 211-228, January.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    4. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    5. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    6. Debrezion, Ghebreegziabiher & Pels, E. & Rietveld, Piet, 2007. "Choice of departure station by railway users," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 37, pages 78-92.
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    Cited by:

    1. Zhao, Xinwei & Chen, Peng & Jiao, Junfeng & Chen, Xiaohong & Bischak, Chris, 2019. "How does ‘park and ride’ perform? An evaluation using longitudinal data," Transport Policy, Elsevier, vol. 74(C), pages 15-23.
    2. Xinyuan Chen & Ruyang Yin & Qinhe An & Yuan Zhang, 2021. "Modeling a Distance-Based Preferential Fare Scheme for Park-and-Ride Services in a Multimodal Transport Network," Sustainability, MDPI, vol. 13(5), pages 1-14, March.
    3. 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.
    4. Jairo Ortega & János Tóth & Tamás Péter & Sarbast Moslem, 2020. "An Integrated Model of Park-And-Ride Facilities for Sustainable Urban Mobility," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    5. Pramesh Kumar & Alireza Khani, 2021. "Adaptive Park-and-ride Choice on Time-dependent Stochastic Multimodal Transportation Network," Networks and Spatial Economics, Springer, vol. 21(4), pages 771-800, December.
    6. Kimpton, Anthony & Pojani, Dorina & Sipe, Neil & Corcoran, Jonathan, 2020. "Parking Behavior: Park ‘n’ Ride (PnR) to encourage multimodalism in Brisbane," Land Use Policy, Elsevier, vol. 91(C).

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