Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms

[EN] Carsharing practices are spreading across many cities in the world. This paper analyzes real-life data obtained from a private carsharing company operating in the city of Barcelona, Spain. After describing the main trends in the data, machine learning and time-series analysis methods are employ...

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Detalles Bibliográficos
Autores: Herrera, Erika M., Calvet, Laura, Ghorbani, Elnaz, Panadero, Javier, Juan, Angel A.|||0000-0003-1392-1776
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/208623
Acceso en línea:https://riunet.upv.es/handle/10251/208623
Access Level:acceso abierto
Palabra clave:Carsharing
Data analytics
Machine learning
Intelligent algorithms
Smart cities
ESTADISTICA E INVESTIGACION OPERATIVA
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repository_id_str
spelling Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent AlgorithmsHerrera, Erika M.Calvet, LauraGhorbani, ElnazPanadero, JavierJuan, Angel A.|||0000-0003-1392-1776CarsharingData analyticsMachine learningIntelligent algorithmsSmart citiesESTADISTICA E INVESTIGACION OPERATIVA[EN] Carsharing practices are spreading across many cities in the world. This paper analyzes real-life data obtained from a private carsharing company operating in the city of Barcelona, Spain. After describing the main trends in the data, machine learning and time-series analysis methods are employed to better understand citizens' needs and behavior, as well as to make predictions about the evolution of their demand for this service. In addition, an original proposal is made regarding the location of the pick-up points. This proposal is based on a capacitated dispersion algorithm, and aims at balancing two relevant factors, including scattering of pick-up points (so that most users can benefit from the service) and efficiency (so that areas with higher demand are well covered). Our aim is to gain a deeper understanding of citizens' needs and behavior in relation to carsharing services. The analysis includes three main components: descriptive, predictive, and prescriptive, resulting in customer segmentation and forecast of service demand, as well as original concepts for optimizing parking station location.This work has been partially funded by the Spanish Ministry of Science (PID2019-111100RB-C21 /AEI/ 10.13039/501100011033), as well as by the Barcelona City Council and Fundacio "la Caixa" under the framework of the Barcelona Science Plan 2020-2023 (grant 21S09355-001).MDPI AGDepartamento de Estadística e Investigación Operativa Aplicadas y CalidadCentro de Investigación en Gestión e Ingeniería de ProducciónEscuela Politécnica Superior de AlcoyAgencia Estatal de InvestigaciónFundació Bancària Caixa d'Estalvis i Pensions de BarcelonaRepositorio Institucional de la Universitat Politècnica de València Riunet20232023-02-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/208623reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-111100RB-C21 ALGORITMOS AGILES, INTERNET DE LAS COSAS, Y ANALITICA DE DATOS PARA UN TRANSPORTE SOSTENIBLE EN CIUDADES INTELIGENTESFundació Bancària Caixa d'Estalvis i Pensions de Barcelona Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona 21S09355-001open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2086232026-06-13T07:49:27Z
dc.title.none.fl_str_mv Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms
title Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms
spellingShingle Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms
Herrera, Erika M.
Carsharing
Data analytics
Machine learning
Intelligent algorithms
Smart cities
ESTADISTICA E INVESTIGACION OPERATIVA
title_short Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms
title_full Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms
title_fullStr Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms
title_full_unstemmed Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms
title_sort Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms
dc.creator.none.fl_str_mv Herrera, Erika M.
Calvet, Laura
Ghorbani, Elnaz
Panadero, Javier
Juan, Angel A.|||0000-0003-1392-1776
author Herrera, Erika M.
author_facet Herrera, Erika M.
Calvet, Laura
Ghorbani, Elnaz
Panadero, Javier
Juan, Angel A.|||0000-0003-1392-1776
author_role author
author2 Calvet, Laura
Ghorbani, Elnaz
Panadero, Javier
Juan, Angel A.|||0000-0003-1392-1776
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Estadística e Investigación Operativa Aplicadas y Calidad
Centro de Investigación en Gestión e Ingeniería de Producción
Escuela Politécnica Superior de Alcoy
Agencia Estatal de Investigación
Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Carsharing
Data analytics
Machine learning
Intelligent algorithms
Smart cities
ESTADISTICA E INVESTIGACION OPERATIVA
topic Carsharing
Data analytics
Machine learning
Intelligent algorithms
Smart cities
ESTADISTICA E INVESTIGACION OPERATIVA
description [EN] Carsharing practices are spreading across many cities in the world. This paper analyzes real-life data obtained from a private carsharing company operating in the city of Barcelona, Spain. After describing the main trends in the data, machine learning and time-series analysis methods are employed to better understand citizens' needs and behavior, as well as to make predictions about the evolution of their demand for this service. In addition, an original proposal is made regarding the location of the pick-up points. This proposal is based on a capacitated dispersion algorithm, and aims at balancing two relevant factors, including scattering of pick-up points (so that most users can benefit from the service) and efficiency (so that areas with higher demand are well covered). Our aim is to gain a deeper understanding of citizens' needs and behavior in relation to carsharing services. The analysis includes three main components: descriptive, predictive, and prescriptive, resulting in customer segmentation and forecast of service demand, as well as original concepts for optimizing parking station location.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/208623
url https://riunet.upv.es/handle/10251/208623
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-111100RB-C21 ALGORITMOS AGILES, INTERNET DE LAS COSAS, Y ANALITICA DE DATOS PARA UN TRANSPORTE SOSTENIBLE EN CIUDADES INTELIGENTES
Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona 21S09355-001
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/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
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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