Quantifying bicycle network connectivity in Lisbon using open data

Detalhes bibliográficos
Autor(a) principal: Abad, Lorena
Data de Publicação: 2018
Outros Autores: van der Meer, Lucas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.3390/info9110287
Resumo: Abad, L., & van der Meer, L. (2018). Quantifying bicycle network connectivity in Lisbon using open data. Information (Switzerland), 9(11), 1-14. [287]. DOI: 10.3390/info9110287
id RCAP_1bfc2fea1a48c28bd1fdc5208800d86c
oai_identifier_str oai:run.unl.pt:10362/53680
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Quantifying bicycle network connectivity in Lisbon using open dataBicycle network analysisBicycle network connectivityBNA scoreLevels of traffic stressOpen dataSustainable mobilityInformation SystemsAbad, L., & van der Meer, L. (2018). Quantifying bicycle network connectivity in Lisbon using open data. Information (Switzerland), 9(11), 1-14. [287]. DOI: 10.3390/info9110287Stimulating non-motorized transport has been a key point on sustainable mobility agendas for cities around the world. Lisbon is no exception, as it invests in the implementation of new bike infrastructure. Quantifying the connectivity of such a bicycle network can help evaluate its current state and highlight specific challenges that should be addressed. Therefore, the aim of this study is to develop an exploratory score that allows a quantification of the bicycle network connectivity in Lisbon based on open data. For each part of the city, a score was computed based on how many common destinations (e.g., schools, universities, supermarkets, hospitals) were located within an acceptable biking distance when using only bicycle lanes and roads with low traffic stress for cyclists. Taking a weighted average of these scores resulted in an overall score for the city of Lisbon of only 8.6 out of 100 points. This shows, at a glance, that the city still has a long way to go before achieving their objectives regarding bicycle use in the city.NOVA Information Management School (NOVA IMS)RUNAbad, Lorenavan der Meer, Lucas2018-12-04T23:24:30Z2018-11-172018-11-17T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14application/pdfhttps://doi.org/10.3390/info9110287eng2078-2489PURE: 6523336http://www.scopus.com/inward/record.url?scp=85056798827&partnerID=8YFLogxKhttps://doi.org/10.3390/info9110287info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:26:27Zoai:run.unl.pt:10362/53680Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:32:40.116059Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Quantifying bicycle network connectivity in Lisbon using open data
title Quantifying bicycle network connectivity in Lisbon using open data
spellingShingle Quantifying bicycle network connectivity in Lisbon using open data
Abad, Lorena
Bicycle network analysis
Bicycle network connectivity
BNA score
Levels of traffic stress
Open data
Sustainable mobility
Information Systems
title_short Quantifying bicycle network connectivity in Lisbon using open data
title_full Quantifying bicycle network connectivity in Lisbon using open data
title_fullStr Quantifying bicycle network connectivity in Lisbon using open data
title_full_unstemmed Quantifying bicycle network connectivity in Lisbon using open data
title_sort Quantifying bicycle network connectivity in Lisbon using open data
author Abad, Lorena
author_facet Abad, Lorena
van der Meer, Lucas
author_role author
author2 van der Meer, Lucas
author2_role author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Abad, Lorena
van der Meer, Lucas
dc.subject.por.fl_str_mv Bicycle network analysis
Bicycle network connectivity
BNA score
Levels of traffic stress
Open data
Sustainable mobility
Information Systems
topic Bicycle network analysis
Bicycle network connectivity
BNA score
Levels of traffic stress
Open data
Sustainable mobility
Information Systems
description Abad, L., & van der Meer, L. (2018). Quantifying bicycle network connectivity in Lisbon using open data. Information (Switzerland), 9(11), 1-14. [287]. DOI: 10.3390/info9110287
publishDate 2018
dc.date.none.fl_str_mv 2018-12-04T23:24:30Z
2018-11-17
2018-11-17T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.3390/info9110287
url https://doi.org/10.3390/info9110287
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2078-2489
PURE: 6523336
http://www.scopus.com/inward/record.url?scp=85056798827&partnerID=8YFLogxK
https://doi.org/10.3390/info9110287
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 14
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799137948439937024