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Optimization-based study of the location of park-and-ride facilities

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  • Joana Cavadas
  • António Pais Antunes

Abstract

Park-and-ride facilities are parking lots located on the periphery of cities to intercept car trips coming from the suburbs and diverting them to a transit system, thus playing a potentially important role in reducing traffic congestion and air pollution in urban areas. In this paper, we present a study carried out to shed light on where to install park-and-ride facilities in the city of Coimbra, central Portugal. Its main component is an optimization model which aims to determine the best possible locations for a given number of park-and-ride facilities under the objective of minimizing car use in the urban areas. The main result of the study is that the introduction of only three park-and-ride facilities could reduce car use in Coimbra's urban areas by 19%, an impact that would be very difficult to achieve through measures such as decreasing bus fares, increasing parking fees and/or increasing bus services.

Suggested Citation

  • Joana Cavadas & António Pais Antunes, 2019. "Optimization-based study of the location of park-and-ride facilities," Transportation Planning and Technology, Taylor & Francis Journals, vol. 42(3), pages 201-226, April.
    • Handle: RePEc:taf:transp:v:42:y:2019:i:3:p:201-226
    DOI: 10.1080/03081060.2019.1576380
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    Cited by:

    1. Henry, Elise & Furno, Angelo & Faouzi, Nour-Eddin El & Rey, David, 2022. "Locating park-and-ride facilities for resilient on-demand urban mobility," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    2. 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.
    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. 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. Mohammed Obaid & Arpad Torok & Jairo Ortega, 2021. "A Comprehensive Emissions Model Combining Autonomous Vehicles with Park and Ride and Electric Vehicle Transportation Policies," Sustainability, MDPI, vol. 13(9), pages 1-15, April.

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