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Modelling Parking Choice Behaviour Considering Alternative Availability and Systematic and Random Variations in User Tastes

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  • Andrés Rodríguez

    (Sustainable Mobility and Railway Engineering Group (SUM + LAB), Universidad de Cantabria, 39005 Santander, Spain)

  • Luigi dell’Olio

    (Sustainable Mobility and Railway Engineering Group (SUM + LAB), Universidad de Cantabria, 39005 Santander, Spain)

  • José Luis Moura

    (Sustainable Mobility and Railway Engineering Group (SUM + LAB), Universidad de Cantabria, 39005 Santander, Spain)

  • Borja Alonso

    (Sustainable Mobility and Railway Engineering Group (SUM + LAB), Universidad de Cantabria, 39005 Santander, Spain)

  • Rubén Cordera

    (Sustainable Mobility and Railway Engineering Group (SUM + LAB), Universidad de Cantabria, 39005 Santander, Spain)

Abstract

Parking choice models proposed over recent years have been aimed at choosing the relevant variables and pricing policies affecting said choice. In our analyses, we have encountered some gaps to cover; for this reason, we introduce a methodology for addressing user parking choices, including the availability of parking alternatives in each of the studied zones presenting pivoted scenarios. This methodology has been developed based on a stated preferences survey design to define user behaviour when making parking choices through discrete-choice models. Furthermore, the estimated models have considered systematic and random variations in user tastes and the correlation between similar or related parking alternatives. This methodology has made it possible to provide greater realism in generating fictitious parking scenarios. The results show the importance of the fee attribute and the differences in the users’ preferences depending on whether they live inside or outside the study area and their arrival time at the destination. Several scenarios have been simulated, and in these scenarios, it is found that removing free parking areas or restricting free parking in favour of parking fee regulation in congested zones can be an efficient policy measure to promote other parking alternatives and reduce the number of vehicles searching for a parking space.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8618-:d:1155911
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    References listed on IDEAS

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    Cited by:

    1. Nguyen Viet Long & Hoang Thuy Linh & Vu Anh Tuan, 2023. "Towards Smart Parking Management: Econometric Analysis and Modeling of Public-Parking-Choice Behavior in Three Cities of Binh Duong, Vietnam," Sustainability, MDPI, vol. 15(24), pages 1-22, December.

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