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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

Rubén Cordera
doi: 10.3390/su15118618
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.
- University of Cantabria Spain
- University of Cantabria Spain
Environmental effects of industries and plants, parking choice, random parameter, TJ807-830, TD194-195, Renewable energy sources, Parking choice, Environmental sciences, mixed logit, Error component model, Random parameter, error component model, GE1-350, Stated preference, Mixed logit, stated preference
Environmental effects of industries and plants, parking choice, random parameter, TJ807-830, TD194-195, Renewable energy sources, Parking choice, Environmental sciences, mixed logit, Error component model, Random parameter, error component model, GE1-350, Stated preference, Mixed logit, stated preference
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