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A methodology based on parking policy to promote sustainable mobility in college campuses

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  • dell’Olio, Luigi
  • Cordera, Ruben
  • Ibeas, Angel
  • Barreda, Rosa
  • Alonso, Borja
  • Moura, Jose Luis

Abstract

Many university campuses are suffering from serious mobility problems resulting from excessive use of the private car by students, teachers and administrative staff. This article proposes a methodology based on a revealed and stated preferences survey aimed at estimating the importance of different variables on users mobility choices in order to simulate their reaction to policies such as the introduction of new modes of transport or charging for on campus parking. This estimation was based on a Mixed Logit model considering the possible presence of heterogeneity in user preferences. The introduction of these results into an optimization model has also allowed us to calculate the optimal parking fare that should be charged which would minimize the number of free spaces on campus or maximize the income received. This methodology has been applied to a case study at the campus of the University of Cantabria (Spain). The elasticities calculated using a Mixed Logit model confirm that setting a fare for parking on campus would be a serious disincentive against private car use in favor of more sustainable transport modes. Furthermore, the optimization model allowed us to calculate the fare that would maximize the income obtained from the parking spaces, an income that could then be used to strengthen the campus sustainable mobility policies.

Suggested Citation

  • dell’Olio, Luigi & Cordera, Ruben & Ibeas, Angel & Barreda, Rosa & Alonso, Borja & Moura, Jose Luis, 2019. "A methodology based on parking policy to promote sustainable mobility in college campuses," Transport Policy, Elsevier, vol. 80(C), pages 148-156.
    • Handle: RePEc:eee:trapol:v:80:y:2019:i:c:p:148-156
    DOI: 10.1016/j.tranpol.2018.03.012
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    References listed on IDEAS

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    1. Shaheen, Susan & Cohen, Adam P. & Martin, Elliot, 2010. "Carsharing Parking Policy: A Review of North American Practices and San Francisco Bay Area Case Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9wq3x6vt, Institute of Transportation Studies, UC Berkeley.
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    8. Shaheen, Susan A & Cohen, Adam P & Martin, Elliot, 2010. "Carsharing Parking Policy: Review of North American Practices and San Francisco, California, Bay Area Case Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4q25869t, Institute of Transportation Studies, UC Berkeley.
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    1. Yuan, Yali & Yang, Xiaobao & Zhang, Junyi & Song, Dongdong & Yue, Xianfei, 2024. "Adaptive behavior of intercity travelers within urban agglomeration in response to adverse weather: Accounting for multilayer unobserved heterogeneity," Transport Policy, Elsevier, vol. 153(C), pages 141-158.
    2. Jairo Ortega & Sarbast Moslem & Juan Palaguachi & Martin Ortega & Tiziana Campisi & Vincenza Torrisi, 2021. "An Integrated Multi Criteria Decision Making Model for Evaluating Park-and-Ride Facility Location Issue: A Case Study for Cuenca City in Ecuador," Sustainability, MDPI, vol. 13(13), pages 1-16, July.
    3. Ardeshiri, Ali & Safarighouzhdi, Farshid & Hossein Rashidi, Taha, 2021. "Measuring willingness to pay for shared parking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 186-202.
    4. Jairo Ortega & Sarbast Moslem & János Tóth & Tamás Péter & Juan Palaguachi & Mario Paguay, 2020. "Using Best Worst Method for Sustainable Park and Ride Facility Location," Sustainability, MDPI, vol. 12(23), pages 1-18, December.
    5. Branka Trček & Beno Mesarec, 2022. "Pathways to Alternative Transport Mode Choices among University Students and Staff—Commuting to the University of Maribor since 2010," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    6. Andrés Rodríguez & Luigi dell’Olio & José Luis Moura & Borja Alonso & Rubén Cordera, 2023. "Modelling Parking Choice Behaviour Considering Alternative Availability and Systematic and Random Variations in User Tastes," Sustainability, MDPI, vol. 15(11), pages 1-18, May.

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