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Exploring the relationships between perceived neighborhood boundaries and street network orientation

2023-05-01Artigo científico Acesso aberto
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dc.contributor.authorTang, Vicente
dc.contributor.authorPainho, Marco
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblWiley-Blackwell Publishing Ltd
dc.date.accessioned2023-05-02T22:12:21Z
dc.date.available2023-05-02T22:12:21Z
dc.date.issued2023-05-01
dc.descriptionTang, V., & Painho, M. (2023). Exploring the relationships between perceived neighborhood boundaries and street network orientation. Transactions in GIS, 27(3), 877-899. https://doi.org/10.1111/tgis.13058 --- Funding: The authors acknowledge the funding from the Portuguese national funding agency for science, research, and technology (Fundação para a Ciência e a Tecnologia—FCT) through the CityMe project (EXPL/GES-URB/1429/2021; https://cityme.novaims.unl.pt/).
dc.description.abstractThe neighborhood is a core unit of analysis in urban research, planning, and policy-making. However, perceptual and historical processes oftentimes result in neighborhoods that are not tied to sub-urban jurisdictions. For instance, historic neighborhoods might lack official spatial definitions, hampering neighborhood-based tasks in local offices. In this case, urban practitioners can benefit from readily available spatial proxies, such as the local street network. In this study, we conducted an exploratory analysis that combines neighborhood mapping and street network modeling. By retrieving participants' sketched boundaries and quantifying spatial orientations of sketched polygons and local network patterns, we were able to measure and compare the relationships between the urban fabric and the perceived extents of two historic neighborhoods in Lisbon, Portugal. The results provided insights for enhancing existing definitions of non-official neighborhoods, outlining new urban districts as well as for discussions about the role of the urban form in shaping people's perceptions.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent23
dc.format.extent30171728
dc.identifier.doi10.1111/tgis.13058
dc.identifier.issn1361-1682
dc.identifier.otherPURE: 59815046
dc.identifier.otherPURE UUID: 255f1c2c-a926-4e4a-85d7-175670d6e121
dc.identifier.othercrossref: 10.1111/tgis.13058
dc.identifier.otherScopus: 85160643777
dc.identifier.otherWOS: 000978814600001
dc.identifier.otherORCID: /0000-0003-1136-3387/work/151384507
dc.identifier.urihttp://hdl.handle.net/10362/152346
dc.identifier.urlhttps://figshare.com/s/c8a6c48db9d9821bf5f0
dc.identifier.urlhttps://github.com/CityMe-project
dc.identifier.urlhttps://www.scopus.com/pages/publications/85160643777
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000978814600001
dc.identifier.urlhttps://onlinelibrary.wiley.com/doi/10.1111/tgis.13058
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/EXPL%2FGES-URB%2F1429%2F2021/PT
dc.relationCityMe - Mapping Regions in the City from Citizens´ Perceptions
dc.relationInformation Management Research Center
dc.relationhttps://doi.org/10.54499/EXPL/GES-URB/1429/2021
dc.subjectGeneral Earth and Planetary Sciences
dc.subjectSDG 11 - Sustainable Cities and Communities
dc.titleExploring the relationships between perceived neighborhood boundaries and street network orientationen
dc.typejournal article
degois.publication.firstPage877
degois.publication.issue3
degois.publication.lastPage899
degois.publication.titleTransactions in GIS
degois.publication.volume27
dspace.entity.typePublication
oaire.awardNumberEXPL/GES-URB/1429/2021
oaire.awardNumberUIDB/04152/2020
oaire.awardTitleCityMe - Mapping Regions in the City from Citizens´ Perceptions
oaire.awardTitleInformation Management Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/EXPL%2FGES-URB%2F1429%2F2021/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication81487ae2-a881-41e9-8d7c-fc14533940b7
relation.isProjectOfPublication3274bdb3-4dd3-4bbe-8f74-d34190081f87
relation.isProjectOfPublication.latestForDiscovery81487ae2-a881-41e9-8d7c-fc14533940b7

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