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dc.contributor.authorFonseca, Fernandopor
dc.contributor.authorFernandes, Escolásticapor
dc.contributor.authorRamos, Rui A. R.por
dc.date.accessioned2022-11-16T11:39:29Z-
dc.date.available2022-11-16T11:39:29Z-
dc.date.issued2022-08-18-
dc.identifier.citationFonseca, 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/su141610306por
dc.identifier.urihttps://hdl.handle.net/1822/80694-
dc.description.abstractEvidence 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.por
dc.language.isoengpor
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)por
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectActive mobilitypor
dc.subjectPedestrian activitypor
dc.subjectWalkabilitypor
dc.subjectBuilt environment attributespor
dc.subjectStreetscape attributespor
dc.subjectMulti-criteria analysispor
dc.subjectAnalytic hierarchy processpor
dc.titleWalkable cities: using the Smart Pedestrian Net Method for evaluating a pedestrian network in Guimarães, Portugalpor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.mdpi.com/2071-1050/14/16/10306por
oaire.citationStartPage1por
oaire.citationEndPage23por
oaire.citationIssue16por
oaire.citationVolume14por
dc.date.updated2022-08-25T11:18:51Z-
dc.identifier.eissn2071-1050-
dc.identifier.doi10.3390/su141610306por
dc.subject.wosScience & Technologypor
sdum.journalSustainability (MDPI)por
oaire.versionVoRpor
dc.identifier.articlenumber10306por
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