Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)

Over the past decades, Bike-Sharing Systems have been implemented in hundreds of cities all around the world. During this time, numerous academic studies have been published with analyses from different perspectives. The aim of this study is to build upon this research by bringing together a spatial...

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Detalles Bibliográficos
Autores: Talavera García, Rubén, Romanillos Arroyo, Gustavo, Arias Molinares, Daniela
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/117258
Acceso en línea:https://hdl.handle.net/20.500.14352/117258
Access Level:acceso abierto
Palabra clave:911.3
Bike-sharing system
mobility patterns
cycling
GPS
Geografía humana
Sistemas de información geográfica
5403 Geografía Humana
3305.37 Planificación Urbana
3329.07 Transporte
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oai_identifier_str oai:docta.ucm.es:20.500.14352/117258
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spelling Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)Talavera García, RubénRomanillos Arroyo, GustavoArias Molinares, Daniela911.3Bike-sharing systemmobility patternscyclingGPSGeografía humanaSistemas de información geográfica5403 Geografía Humana3305.37 Planificación Urbana3329.07 TransporteOver the past decades, Bike-Sharing Systems have been implemented in hundreds of cities all around the world. During this time, numerous academic studies have been published with analyses from different perspectives. The aim of this study is to build upon this research by bringing together a spatial and a temporal analysis of the cycling flow of BiciMAD, the Madrid Bike-Sharing System. By combining over 21 million GPS records and various maps the study visually explores cycling mobility patterns across the city on three different temporal scales: over the course of the day, during working days or weekends and over the course of a whole year to provide a better understanding of the season-dependent demand. The study also reveals the most important flows between origin-destination pairs and uncovers the radically different spatio-temporal travel patterns of frequent users and occasional users.Taylor and FrancisUniversidad Complutense de Madrid20202020-12-1020202020-12-10journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/117258reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-098402-B-I00 ANALISIS DINAMICO DE LOS PATRONES DE MOVILIDAD A PARTIR DE BIG DATAopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1172582026-06-02T12:44:21Z
dc.title.none.fl_str_mv Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)
title Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)
spellingShingle Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)
Talavera García, Rubén
911.3
Bike-sharing system
mobility patterns
cycling
GPS
Geografía humana
Sistemas de información geográfica
5403 Geografía Humana
3305.37 Planificación Urbana
3329.07 Transporte
title_short Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)
title_full Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)
title_fullStr Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)
title_full_unstemmed Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)
title_sort Examining spatio-temporal mobility patterns of bike-sharing systems: the case of BiciMAD (Madrid)
dc.creator.none.fl_str_mv Talavera García, Rubén
Romanillos Arroyo, Gustavo
Arias Molinares, Daniela
author Talavera García, Rubén
author_facet Talavera García, Rubén
Romanillos Arroyo, Gustavo
Arias Molinares, Daniela
author_role author
author2 Romanillos Arroyo, Gustavo
Arias Molinares, Daniela
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 911.3
Bike-sharing system
mobility patterns
cycling
GPS
Geografía humana
Sistemas de información geográfica
5403 Geografía Humana
3305.37 Planificación Urbana
3329.07 Transporte
topic 911.3
Bike-sharing system
mobility patterns
cycling
GPS
Geografía humana
Sistemas de información geográfica
5403 Geografía Humana
3305.37 Planificación Urbana
3329.07 Transporte
description Over the past decades, Bike-Sharing Systems have been implemented in hundreds of cities all around the world. During this time, numerous academic studies have been published with analyses from different perspectives. The aim of this study is to build upon this research by bringing together a spatial and a temporal analysis of the cycling flow of BiciMAD, the Madrid Bike-Sharing System. By combining over 21 million GPS records and various maps the study visually explores cycling mobility patterns across the city on three different temporal scales: over the course of the day, during working days or weekends and over the course of a whole year to provide a better understanding of the season-dependent demand. The study also reveals the most important flows between origin-destination pairs and uncovers the radically different spatio-temporal travel patterns of frequent users and occasional users.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-12-10
2020
2020-12-10
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://hdl.handle.net/20.500.14352/117258
url https://hdl.handle.net/20.500.14352/117258
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 RTI2018-098402-B-I00 ANALISIS DINAMICO DE LOS PATRONES DE MOVILIDAD A PARTIR DE BIG DATA
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/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-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor and Francis
publisher.none.fl_str_mv Taylor and Francis
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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