The ridership performance of the built environment for BRT systems: Evidence from Latin America

Despite the increasing popularity of BRT worldwide, there is a lack of empirical evidence regarding the built environment characteristics that determine BRT ridership. We examine associations between BRT station level demand and built environment attributes for 120 stations in seven Latin American c...

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Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/22484
Acceso en línea:
https://doi.org/10.1016/j.jtrangeo.2018.06.018
https://repository.urosario.edu.co/handle/10336/22484
Palabra clave:
Bus transport
Cluster analysis
Factor analysis
Land use
Public transport
Residential development
Sustainability
Travel demand
Latin america
Built environment
Bus rapid transit (brt)
Demand
Latin america
Transit-oriented development
Rights
License
Abierto (Texto Completo)
id EDOCUR2_d923850a77b551919bab819d7b1fa68f
oai_identifier_str oai:repository.urosario.edu.co:10336/22484
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling cc471959-8066-4071-987d-20d1070fae0d-1f36ea845-caea-4eed-b5d6-89f0f7f2e458-12020-05-25T23:56:41Z2020-05-25T23:56:41Z2018Despite the increasing popularity of BRT worldwide, there is a lack of empirical evidence regarding the built environment characteristics that determine BRT ridership. We examine associations between BRT station level demand and built environment attributes for 120 stations in seven Latin American cities. Using direct ridership models, we study whether underlying built environment factors identified using factor analysis and the package of these factors embodied in station “types” identified using cluster analysis were associated with higher ridership. Of the nine factors identified, those describing compactness with dominant multifamily residential uses and stations with public and institutional land uses along the corridor were positively associated with ridership, while factors describing single-family residential development away from the CBD were negatively associated with ridership. Thirteen station types were identified, of which six were associated with BRT ridership. Relevant station types for ridership included those with a high mixture of land uses, the presence of institutional uses and public facilities, major transfer nodes in peripheral areas, and stations with a strong pedestrian environment. Taken together, our findings suggest that the mix and dominance of various land uses around the stop, the location of BRT stations relative to the CBD, the developable land around the station, and the integration of the station to the urban fabric are important characteristics that determine BRT ridership. These insights will help substantiate the case for prioritizing-built environment changes as a means to build more prosperous and sustainable mass transit systems. © 2018 Elsevier Ltdapplication/pdfhttps://doi.org/10.1016/j.jtrangeo.2018.06.0189666923https://repository.urosario.edu.co/handle/10336/22484engElsevier Ltd184172Journal of Transport GeographyVol. 73Journal of Transport Geography, ISSN:9666923, Vol.73,(2018); pp. 172-184https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049065944&doi=10.1016%2fj.jtrangeo.2018.06.018&partnerID=40&md5=29454fa28612122f0d2549cfe0bcd751Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURBus transportCluster analysisFactor analysisLand usePublic transportResidential developmentSustainabilityTravel demandLatin americaBuilt environmentBus rapid transit (brt)DemandLatin americaTransit-oriented developmentThe ridership performance of the built environment for BRT systems: Evidence from Latin AmericaarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Vergel-Tovar C.E.Rodriguez D.A.10336/22484oai:repository.urosario.edu.co:10336/224842022-05-02 07:37:14.194004https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv The ridership performance of the built environment for BRT systems: Evidence from Latin America
title The ridership performance of the built environment for BRT systems: Evidence from Latin America
spellingShingle The ridership performance of the built environment for BRT systems: Evidence from Latin America
Bus transport
Cluster analysis
Factor analysis
Land use
Public transport
Residential development
Sustainability
Travel demand
Latin america
Built environment
Bus rapid transit (brt)
Demand
Latin america
Transit-oriented development
title_short The ridership performance of the built environment for BRT systems: Evidence from Latin America
title_full The ridership performance of the built environment for BRT systems: Evidence from Latin America
title_fullStr The ridership performance of the built environment for BRT systems: Evidence from Latin America
title_full_unstemmed The ridership performance of the built environment for BRT systems: Evidence from Latin America
title_sort The ridership performance of the built environment for BRT systems: Evidence from Latin America
dc.subject.keyword.spa.fl_str_mv Bus transport
Cluster analysis
Factor analysis
Land use
Public transport
Residential development
Sustainability
Travel demand
Latin america
Built environment
Bus rapid transit (brt)
Demand
Latin america
Transit-oriented development
topic Bus transport
Cluster analysis
Factor analysis
Land use
Public transport
Residential development
Sustainability
Travel demand
Latin america
Built environment
Bus rapid transit (brt)
Demand
Latin america
Transit-oriented development
description Despite the increasing popularity of BRT worldwide, there is a lack of empirical evidence regarding the built environment characteristics that determine BRT ridership. We examine associations between BRT station level demand and built environment attributes for 120 stations in seven Latin American cities. Using direct ridership models, we study whether underlying built environment factors identified using factor analysis and the package of these factors embodied in station “types” identified using cluster analysis were associated with higher ridership. Of the nine factors identified, those describing compactness with dominant multifamily residential uses and stations with public and institutional land uses along the corridor were positively associated with ridership, while factors describing single-family residential development away from the CBD were negatively associated with ridership. Thirteen station types were identified, of which six were associated with BRT ridership. Relevant station types for ridership included those with a high mixture of land uses, the presence of institutional uses and public facilities, major transfer nodes in peripheral areas, and stations with a strong pedestrian environment. Taken together, our findings suggest that the mix and dominance of various land uses around the stop, the location of BRT stations relative to the CBD, the developable land around the station, and the integration of the station to the urban fabric are important characteristics that determine BRT ridership. These insights will help substantiate the case for prioritizing-built environment changes as a means to build more prosperous and sustainable mass transit systems. © 2018 Elsevier Ltd
publishDate 2018
dc.date.created.spa.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2020-05-25T23:56:41Z
dc.date.available.none.fl_str_mv 2020-05-25T23:56:41Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.jtrangeo.2018.06.018
dc.identifier.issn.none.fl_str_mv 9666923
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/22484
url https://doi.org/10.1016/j.jtrangeo.2018.06.018
https://repository.urosario.edu.co/handle/10336/22484
identifier_str_mv 9666923
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 184
dc.relation.citationStartPage.none.fl_str_mv 172
dc.relation.citationTitle.none.fl_str_mv Journal of Transport Geography
dc.relation.citationVolume.none.fl_str_mv Vol. 73
dc.relation.ispartof.spa.fl_str_mv Journal of Transport Geography, ISSN:9666923, Vol.73,(2018); pp. 172-184
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049065944&doi=10.1016%2fj.jtrangeo.2018.06.018&partnerID=40&md5=29454fa28612122f0d2549cfe0bcd751
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier Ltd
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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