Microsimulation parking choice and search model to assess dynamic pricing scenarios

This article analyses the impact that different parking management policies may have on public roads. Policies were simulated using a new parking model based on two sub models: choice of parking place and search for parking place. The model considers curb traffic and was implemented into a tradition...

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Autores: Rodríguez Gutiérrez, Andrés, Cordera Piñera, Rubén|||0000-0001-8272-6662, Alonso Oreña, Borja|||0000-0003-2475-3325, Dell´Olio, Luigi|||0000-0003-0919-7578, Benavente Ponce, Juan
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/29034
Acceso en línea:https://hdl.handle.net/10902/29034
Access Level:acceso abierto
Palabra clave:Parking Choice
Parking Simulation Model
Stated Preference
Agent Based Simulation Model
Mixed Logit
Dynamic Parking Pricing Policies
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spelling Microsimulation parking choice and search model to assess dynamic pricing scenariosRodríguez Gutiérrez, AndrésCordera Piñera, Rubén|||0000-0001-8272-6662Alonso Oreña, Borja|||0000-0003-2475-3325Dell´Olio, Luigi|||0000-0003-0919-7578Benavente Ponce, JuanParking ChoiceParking Simulation ModelStated PreferenceAgent Based Simulation ModelMixed LogitDynamic Parking Pricing PoliciesThis article analyses the impact that different parking management policies may have on public roads. Policies were simulated using a new parking model based on two sub models: choice of parking place and search for parking place. The model considers curb traffic and was implemented into a traditional microsimulation traffic software. The parameters for the sub models were estimated from data collected in the city centre of Santander (Spain) and from a stated preferences survey asked to users of parking spaces. The model for testing policies was run on Aimsun simulation software creating a personalised API programmed using Python 3.7. The proposed model was able to dynamically simulate various policies based on charging for on-street parking spaces with fare updates at short time intervals of between 5 and 15 min. A sensitivity analysis was performed on different fare scenarios and considering different levels of information available to the users. As a result, this work demonstrates some benefits of dynamic fares such as reducing searching time, curb induced traffic and emissions as well as a new modal redistribution of parking choice between off-street and on-street supply. On the contrary, dynamic fares implied that users needed to spend a bit more time from their parking location to their destinations.This study and the development of future research are possible thanks to financing from the Spanish Ministerio de Ciencia e Innovación from the project referenced and TRA2017-85853-C2-1-R.ElsevierUniversidad de Cantabria20222022-02-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/29034Transportation Research Part A: Policy and Practice, 2022, 156, 253-269reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/290342026-06-02T12:39:31Z
dc.title.none.fl_str_mv Microsimulation parking choice and search model to assess dynamic pricing scenarios
title Microsimulation parking choice and search model to assess dynamic pricing scenarios
spellingShingle Microsimulation parking choice and search model to assess dynamic pricing scenarios
Rodríguez Gutiérrez, Andrés
Parking Choice
Parking Simulation Model
Stated Preference
Agent Based Simulation Model
Mixed Logit
Dynamic Parking Pricing Policies
title_short Microsimulation parking choice and search model to assess dynamic pricing scenarios
title_full Microsimulation parking choice and search model to assess dynamic pricing scenarios
title_fullStr Microsimulation parking choice and search model to assess dynamic pricing scenarios
title_full_unstemmed Microsimulation parking choice and search model to assess dynamic pricing scenarios
title_sort Microsimulation parking choice and search model to assess dynamic pricing scenarios
dc.creator.none.fl_str_mv Rodríguez Gutiérrez, Andrés
Cordera Piñera, Rubén|||0000-0001-8272-6662
Alonso Oreña, Borja|||0000-0003-2475-3325
Dell´Olio, Luigi|||0000-0003-0919-7578
Benavente Ponce, Juan
author Rodríguez Gutiérrez, Andrés
author_facet Rodríguez Gutiérrez, Andrés
Cordera Piñera, Rubén|||0000-0001-8272-6662
Alonso Oreña, Borja|||0000-0003-2475-3325
Dell´Olio, Luigi|||0000-0003-0919-7578
Benavente Ponce, Juan
author_role author
author2 Cordera Piñera, Rubén|||0000-0001-8272-6662
Alonso Oreña, Borja|||0000-0003-2475-3325
Dell´Olio, Luigi|||0000-0003-0919-7578
Benavente Ponce, Juan
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Parking Choice
Parking Simulation Model
Stated Preference
Agent Based Simulation Model
Mixed Logit
Dynamic Parking Pricing Policies
topic Parking Choice
Parking Simulation Model
Stated Preference
Agent Based Simulation Model
Mixed Logit
Dynamic Parking Pricing Policies
description This article analyses the impact that different parking management policies may have on public roads. Policies were simulated using a new parking model based on two sub models: choice of parking place and search for parking place. The model considers curb traffic and was implemented into a traditional microsimulation traffic software. The parameters for the sub models were estimated from data collected in the city centre of Santander (Spain) and from a stated preferences survey asked to users of parking spaces. The model for testing policies was run on Aimsun simulation software creating a personalised API programmed using Python 3.7. The proposed model was able to dynamically simulate various policies based on charging for on-street parking spaces with fare updates at short time intervals of between 5 and 15 min. A sensitivity analysis was performed on different fare scenarios and considering different levels of information available to the users. As a result, this work demonstrates some benefits of dynamic fares such as reducing searching time, curb induced traffic and emissions as well as a new modal redistribution of parking choice between off-street and on-street supply. On the contrary, dynamic fares implied that users needed to spend a bit more time from their parking location to their destinations.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/29034
url https://hdl.handle.net/10902/29034
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Transportation Research Part A: Policy and Practice, 2022, 156, 253-269
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869415496329199616
score 15,301603

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