Walkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, Portugal
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/80694 |
Resumo: | Evidence for the benefits of walking has attracted the attention of researchers and practitioners and encouraged them to develop healthier and more sustainable walkable cities. Many methods and approaches have been developed to measure walkability; namely, by using land use attributes. This paper examines the transferability of the Geographic Information System (GIS) based multi-criteria method developed in the Smart Pedestrian Net (SPN) research project to evaluate the level of walkability in a pedestrian network in Guimarães, Portugal. The method involves the assessment of 19 built environment and streetscape attributes, which were scored by a group of experts following the analytic hierarchy process. The method proved to be efficient in evaluating the pedestrian network and in mapping walkability in the study area. Around 65% of the street lengths scored above 0.60, indicating that the overall pedestrian conditions are favourable, with the best performance criteria being those related to accessibility and street connectivity. The method also allowed for the identification of different levels of walkability within the study area and the lack of a pedestrian network of highly scored streets. According to the results, the SPN method could be replicated in other cities to evaluate walkability and could be a useful planning tool to support policies towards developing more walkable cities. |
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Walkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, PortugalActive mobilityPedestrian activityWalkabilityBuilt environment attributesStreetscape attributesMulti-criteria analysisAnalytic hierarchy processScience & TechnologyEvidence for the benefits of walking has attracted the attention of researchers and practitioners and encouraged them to develop healthier and more sustainable walkable cities. Many methods and approaches have been developed to measure walkability; namely, by using land use attributes. This paper examines the transferability of the Geographic Information System (GIS) based multi-criteria method developed in the Smart Pedestrian Net (SPN) research project to evaluate the level of walkability in a pedestrian network in Guimarães, Portugal. The method involves the assessment of 19 built environment and streetscape attributes, which were scored by a group of experts following the analytic hierarchy process. The method proved to be efficient in evaluating the pedestrian network and in mapping walkability in the study area. Around 65% of the street lengths scored above 0.60, indicating that the overall pedestrian conditions are favourable, with the best performance criteria being those related to accessibility and street connectivity. The method also allowed for the identification of different levels of walkability within the study area and the lack of a pedestrian network of highly scored streets. According to the results, the SPN method could be replicated in other cities to evaluate walkability and could be a useful planning tool to support policies towards developing more walkable cities.Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoFonseca, FernandoFernandes, EscolásticaRamos, Rui A. R.2022-08-182022-08-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/80694engFonseca, F.; Fernandes, E.; Ramos, R. Walkable Cities: Using the Smart Pedestrian Net Method for Evaluating a Pedestrian Network in Guimarães, Portugal. Sustainability 2022, 14, 10306. https://doi.org/10.3390/su1416103062071-105010.3390/su14161030610306https://www.mdpi.com/2071-1050/14/16/10306info: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:RCAAP2023-07-21T12:18:14Zoai:repositorium.sdum.uminho.pt:1822/80694Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:11:02.660029Repositório 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 |
Walkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, Portugal |
title |
Walkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, Portugal |
spellingShingle |
Walkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, Portugal Fonseca, Fernando Active mobility Pedestrian activity Walkability Built environment attributes Streetscape attributes Multi-criteria analysis Analytic hierarchy process Science & Technology |
title_short |
Walkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, Portugal |
title_full |
Walkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, Portugal |
title_fullStr |
Walkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, Portugal |
title_full_unstemmed |
Walkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, Portugal |
title_sort |
Walkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, Portugal |
author |
Fonseca, Fernando |
author_facet |
Fonseca, Fernando Fernandes, Escolástica Ramos, Rui A. R. |
author_role |
author |
author2 |
Fernandes, Escolástica Ramos, Rui A. R. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Fonseca, Fernando Fernandes, Escolástica Ramos, Rui A. R. |
dc.subject.por.fl_str_mv |
Active mobility Pedestrian activity Walkability Built environment attributes Streetscape attributes Multi-criteria analysis Analytic hierarchy process Science & Technology |
topic |
Active mobility Pedestrian activity Walkability Built environment attributes Streetscape attributes Multi-criteria analysis Analytic hierarchy process Science & Technology |
description |
Evidence for the benefits of walking has attracted the attention of researchers and practitioners and encouraged them to develop healthier and more sustainable walkable cities. Many methods and approaches have been developed to measure walkability; namely, by using land use attributes. This paper examines the transferability of the Geographic Information System (GIS) based multi-criteria method developed in the Smart Pedestrian Net (SPN) research project to evaluate the level of walkability in a pedestrian network in Guimarães, Portugal. The method involves the assessment of 19 built environment and streetscape attributes, which were scored by a group of experts following the analytic hierarchy process. The method proved to be efficient in evaluating the pedestrian network and in mapping walkability in the study area. Around 65% of the street lengths scored above 0.60, indicating that the overall pedestrian conditions are favourable, with the best performance criteria being those related to accessibility and street connectivity. The method also allowed for the identification of different levels of walkability within the study area and the lack of a pedestrian network of highly scored streets. According to the results, the SPN method could be replicated in other cities to evaluate walkability and could be a useful planning tool to support policies towards developing more walkable cities. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-18 2022-08-18T00:00:00Z |
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://hdl.handle.net/1822/80694 |
url |
https://hdl.handle.net/1822/80694 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Fonseca, F.; Fernandes, E.; Ramos, R. Walkable Cities: Using the Smart Pedestrian Net Method for Evaluating a Pedestrian Network in Guimarães, Portugal. Sustainability 2022, 14, 10306. https://doi.org/10.3390/su141610306 2071-1050 10.3390/su141610306 10306 https://www.mdpi.com/2071-1050/14/16/10306 |
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.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
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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1799132541577330688 |