Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities

Detalhes bibliográficos
Autor(a) principal: Abad Crespo, Lorena Cristina
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/67511
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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spelling Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European CitiesBicycle network analysis scoreBicycle network connectivityLevels of traffic stressOpenStreetMapSustainable mobilityOpen dataDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesCycling has been considered a viable option to generate a modal shift from fossil dependent transportation modes. In this framework, measurements and tools that aid connected bicycle infrastructure planning have been developed. This is the case of the Bicycle Network Analysis score, a connectivity measure adapted for the U.S. It is based on the Levels of Traffic Stress methodology and computed mainly with OpenStreetMap data. Its aim is to quantify how well the low-stress bicycle network in a city connects people with the places they want to go. For this research, the BNA open source tool is adapted to a European context to validate its ability of quantifying low-stress connectivity. Three core elements are evaluated: stress network, destinations, and the overall score itself. They are related to cycling behaviors from two validation data sources: travel to work data in England and Wales, and crowdsourced bicycle trip routes in The Netherlands. The results indicate that in England and Wales, there is a significantly higher percentage of bicycle trips performed between origin-destination pairs with a low-stress connection between them. Additionally, a positive correlation is found between the percentage of bicycle trips within a city and its overall BNA score. In the Dutch case, the destinations core element is evaluated, determining that the destinations contemplated in the BNA score calculation are also among the highly frequented by cyclists. However, their importance within the score computation might require adjustments. Although a comprehensive validation cannot be achieved due to data limitations, evidence that providing low-stress connections between origins and destinations relates to bicycle commuting in cities is found. Therefore, special attention should be given to those measures that can greatly benefit the decision-making process when planning for sustainable cities.Pebesma, EdzerPainho, Marco Octávio TrindadeRamos Romero, José FranciscoRUNAbad Crespo, Lorena Cristina2019-04-24T09:42:22Z2019-02-042019-02-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/67511TID:202227596enginfo: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:RCAAP2024-03-11T04:31:55Zoai:run.unl.pt:10362/67511Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:34:37.706701Repositório 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 Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities
title Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities
spellingShingle Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities
Abad Crespo, Lorena Cristina
Bicycle network analysis score
Bicycle network connectivity
Levels of traffic stress
OpenStreetMap
Sustainable mobility
Open data
title_short Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities
title_full Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities
title_fullStr Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities
title_full_unstemmed Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities
title_sort Validating a bike network analysis score based on open data as a connectivity measure of urban cycling infrastructure adapted for European Cities
author Abad Crespo, Lorena Cristina
author_facet Abad Crespo, Lorena Cristina
author_role author
dc.contributor.none.fl_str_mv Pebesma, Edzer
Painho, Marco Octávio Trindade
Ramos Romero, José Francisco
RUN
dc.contributor.author.fl_str_mv Abad Crespo, Lorena Cristina
dc.subject.por.fl_str_mv Bicycle network analysis score
Bicycle network connectivity
Levels of traffic stress
OpenStreetMap
Sustainable mobility
Open data
topic Bicycle network analysis score
Bicycle network connectivity
Levels of traffic stress
OpenStreetMap
Sustainable mobility
Open data
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2019
dc.date.none.fl_str_mv 2019-04-24T09:42:22Z
2019-02-04
2019-02-04T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/67511
TID:202227596
url http://hdl.handle.net/10362/67511
identifier_str_mv TID:202227596
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 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
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