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...
| Autores: | , , |
|---|---|
| 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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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 |
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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/ |
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openAccess |
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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) |
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Universidad Complutense de Madrid (UCM) |
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Docta Complutense |
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Docta Complutense |
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15.811543 |