Exploring the relationships between perceived neighborhood boundaries and street network orientation

Detalhes bibliográficos
Autor(a) principal: Tang, Vicente
Data de Publicação: 2023
Outros Autores: Painho, Marco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/152346
Resumo: Tang, 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/).
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spelling Exploring the relationships between perceived neighborhood boundaries and street network orientationEarth and Planetary Sciences(all)SDG 11 - Sustainable Cities and CommunitiesTang, 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/).The 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.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNTang, VicentePainho, Marco2023-05-02T22:12:21Z2023-05-012023-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article23application/pdfhttp://hdl.handle.net/10362/152346eng1361-1682PURE: 59815046https://doi.org/10.1111/tgis.13058info: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:RCAAP2024-03-11T05:34:40Zoai:run.unl.pt:10362/152346Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:52.269836Repositório 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 Exploring the relationships between perceived neighborhood boundaries and street network orientation
title Exploring the relationships between perceived neighborhood boundaries and street network orientation
spellingShingle Exploring the relationships between perceived neighborhood boundaries and street network orientation
Tang, Vicente
Earth and Planetary Sciences(all)
SDG 11 - Sustainable Cities and Communities
title_short Exploring the relationships between perceived neighborhood boundaries and street network orientation
title_full Exploring the relationships between perceived neighborhood boundaries and street network orientation
title_fullStr Exploring the relationships between perceived neighborhood boundaries and street network orientation
title_full_unstemmed Exploring the relationships between perceived neighborhood boundaries and street network orientation
title_sort Exploring the relationships between perceived neighborhood boundaries and street network orientation
author Tang, Vicente
author_facet Tang, Vicente
Painho, Marco
author_role author
author2 Painho, Marco
author2_role author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Tang, Vicente
Painho, Marco
dc.subject.por.fl_str_mv Earth and Planetary Sciences(all)
SDG 11 - Sustainable Cities and Communities
topic Earth and Planetary Sciences(all)
SDG 11 - Sustainable Cities and Communities
description Tang, 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/).
publishDate 2023
dc.date.none.fl_str_mv 2023-05-02T22:12:21Z
2023-05-01
2023-05-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/152346
url http://hdl.handle.net/10362/152346
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1361-1682
PURE: 59815046
https://doi.org/10.1111/tgis.13058
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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
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