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

Andrés Rodríguez (), Luigi dell’Olio, José Luis Moura, Borja Alonso and Rubén Cordera
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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

Sustainability, 2023, vol. 15, issue 11, 1-18

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.

Keywords: parking choice; stated preference; error component model; mixed logit; random parameter (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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