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Sustainability
Article . 2023 . Peer-reviewed
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UCrea
Article . 2023
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Modelling Parking Choice Behaviour Considering Alternative Availability and Systematic and Random Variations in User Tastes

Authors: orcid bw Andrés Rodríguez;
Andrés Rodríguez
ORCID
Derived by OpenAIRE algorithms or harvested from 3rd party repositories

Andrés Rodríguez in OpenAIRE
orcid bw Luigi dell’Olio;
Luigi dell’Olio
ORCID
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Luigi dell’Olio in OpenAIRE
orcid bw José Luis Moura;
José Luis Moura
ORCID
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José Luis Moura in OpenAIRE
orcid Borja Alonso;
Borja Alonso
ORCID
Harvested from ORCID Public Data File

Borja Alonso in OpenAIRE
orcid bw Rubén Cordera;
Rubén Cordera
ORCID
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Rubén Cordera in OpenAIRE

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

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.

Country
Spain
Keywords

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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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
gold