Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFSCAR |
Texto Completo: | https://repositorio.ufscar.br/handle/ufscar/11392 |
Resumo: | The quality of pedestrian-oriented urban spaces is fundamental for economic development, public health, social welfare and environmental sustainability of a municipality. Many researchers base their studies on structural analysis of sidewalks and audits of spaces, considering aspects related to the safety, security, and attractiveness of the environment. However, there is a lack of studies that correlate characteristics of urban land use and occupation, as well as sociodemographic characteristics for the identification of urban spaces that are a priority to the focus on pedestrian. With the prioritization, the public management can identify punctually where to act to carry out studies, bring significant improvements to the walkability and choose, among the areas of the municipality, those that need more attention. Thus, the present study aims to develop a method that, based on the correlation of land use and socio-demographic variables, indicates such priority areas, named as Areas of Special Pedestrian Interest (AIEP), that is, priority areas for future analyzes and improvements related to the quality of pedestrianized urban space. The following steps are developed in the study: (i) selection of relevant variables, (ii) ranking variables according to hierarchical process analysis (AHP) in expert research, (iii) representation of results in GIS platform, (iv) identification of the AEIPs and (v) analyzing the walkability in selected zones. For the development of the method, the city of São Carlos (SP) is used as a study area because of the availability and ease of data collection, but it is expected that the method will be replicable in other scenarios. The results indicate about 1522ha of the urban region (19%) as (AEIP), extrapolating the consolidated urban center. Several "center of neighborhoods" regions are identified, presenting mixed occupation profile (residential, commercial and service uses). These areas are synthesized in 79 priority census tracts, encompassing about 60,000 inhabitants (27.1% of the population) and 50 km of road extension - highlighting roads of great structural, commercial and circulation importance to the municipality. The developed method was able to identify priority areas (AEIPs), correlating land use and socio-demographic characteristics and presenting guidelines for regions that need more attention in the pedestrian area and contributing to the management of municipal walking mobility. |
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Gobbo, Caio Augusto RabelloGonçalves, Luciana Márciahttp://lattes.cnpq.br/9491069760631962Ribeiro, Rochele Amorimhttp://lattes.cnpq.br/7245761274405860http://lattes.cnpq.br/90771576750259229b8b18d7-35f8-4dbc-a8bc-8d434695d3002019-05-08T17:51:59Z2019-05-08T17:51:59Z2019-04-11GOBBO, Caio Augusto Rabello. Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento. 2019. Dissertação (Mestrado em Engenharia Urbana) – Universidade Federal de São Carlos, São Carlos, 2019. Disponível em: https://repositorio.ufscar.br/handle/ufscar/11392.https://repositorio.ufscar.br/handle/ufscar/11392The quality of pedestrian-oriented urban spaces is fundamental for economic development, public health, social welfare and environmental sustainability of a municipality. Many researchers base their studies on structural analysis of sidewalks and audits of spaces, considering aspects related to the safety, security, and attractiveness of the environment. However, there is a lack of studies that correlate characteristics of urban land use and occupation, as well as sociodemographic characteristics for the identification of urban spaces that are a priority to the focus on pedestrian. With the prioritization, the public management can identify punctually where to act to carry out studies, bring significant improvements to the walkability and choose, among the areas of the municipality, those that need more attention. Thus, the present study aims to develop a method that, based on the correlation of land use and socio-demographic variables, indicates such priority areas, named as Areas of Special Pedestrian Interest (AIEP), that is, priority areas for future analyzes and improvements related to the quality of pedestrianized urban space. The following steps are developed in the study: (i) selection of relevant variables, (ii) ranking variables according to hierarchical process analysis (AHP) in expert research, (iii) representation of results in GIS platform, (iv) identification of the AEIPs and (v) analyzing the walkability in selected zones. For the development of the method, the city of São Carlos (SP) is used as a study area because of the availability and ease of data collection, but it is expected that the method will be replicable in other scenarios. The results indicate about 1522ha of the urban region (19%) as (AEIP), extrapolating the consolidated urban center. Several "center of neighborhoods" regions are identified, presenting mixed occupation profile (residential, commercial and service uses). These areas are synthesized in 79 priority census tracts, encompassing about 60,000 inhabitants (27.1% of the population) and 50 km of road extension - highlighting roads of great structural, commercial and circulation importance to the municipality. The developed method was able to identify priority areas (AEIPs), correlating land use and socio-demographic characteristics and presenting guidelines for regions that need more attention in the pedestrian area and contributing to the management of municipal walking mobility.A qualidade dos espaços urbanos voltados para pedestres é fundamental para o desenvolvimento econômico, saúde pública, bem-estar social e sustentabilidade ambiental de um município. Muitos pesquisadores baseiam seus estudos na análise estrutural das calçadas e auditorias dos espaços, considerando aspectos relacionados à segurança, seguridade e atratividade do entorno. Entretanto, existe uma carência de estudos que correlacionam características de uso e ocupação do solo urbano, bem como características sociodemográficas para a identificação de espaços urbanos prioritários ao foco em temáticas peatonais. Com a priorização, a gestão pública consegue identificar pontualmente onde atuar para realizar estudos, trazer significativas melhorias à caminhabilidade e escolher, entre as áreas do município, aquelas que necessitam de maior atenção. Dessa forma, o presente estudo tem como objetivo desenvolver um método que, a partir da correlação de variáveis de uso do solo e sociodemográficas, indique tais espaços prioritários, nomeados como Áreas de Especial Interesse Peatonal (AIEP), ou seja áreas prioritárias para futuras análises e melhorias relacionadas à qualidade do espaço urbano voltado a pedestres. São desenvolvidas no estudo as seguintes etapas: (i) seleção de variáveis pertinentes à temática, (ii) ranquear variáveis de acordo com análise hierárquica de processos (AHP) em pesquisa com especialistas, (iii) representação dos resultados em plataforma SIG, (iv) identificação das AEIPs e (v) analisar a caminhabilidade em setores selecionados. Para o desenvolvimento do método, a cidade de São Carlos (SP) é usada como área de estudo devido à disponibilidade e facilidade de coleta de dados, mas espera-se que o método seja replicável em outros cenários. Os resultados, indicam cerca de 1522ha da região urbana (19%) como (AEIP), extrapolando o centro urbano consolidado. São identificadas diversas regiões de “centro de bairros”, apresentando perfil misto de ocupação (usos residenciais, comerciais e de serviços). Tais áreas são sintetizadas em 79 setores censitários prioritários, contemplando cerca de 60.000 habitantes (27.1% da população) e ainda 50 km de extensão viária – destaque para vias de grande importância estrutural, comercial e de circulação do município. O método desenvolvido demonstrou-se capaz de identificar áreas prioritárias (AEIPs), correlacionando uso do solo e características sociodemográficas e apresentando direcionamentos para regiões que necessitam de maior atenção na temática peatonal e contribuindo para a gestão da mobilidade a pé municipal.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)porUniversidade Federal de São CarlosCâmpus São CarlosPrograma de Pós-Graduação em Engenharia Urbana - PPGEUUFSCarMobilidade urbanaCaminhabilidadeTransporte ativoAHPSIGUrban mobilityActive transportationWalkabilityENGENHARIAS::ENGENHARIA CIVIL::INFRA-ESTRUTURA DE TRANSPORTESENGENHARIAS::ENGENHARIA DE TRANSPORTESENGENHARIASIdentificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamentoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisOnline60060090d241a7-f47e-4df9-8f0c-1c5086fee108info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARORIGINALdissertacaofinal_GOBBOCAIO-v2.pdfdissertacaofinal_GOBBOCAIO-v2.pdfapplication/pdf16951567https://repositorio.ufscar.br/bitstream/ufscar/11392/4/dissertacaofinal_GOBBOCAIO-v2.pdfb07a8f2c71e92f13c6bb4ce24942b397MD54LICENSElicense.txtlicense.txttext/plain; charset=utf-81957https://repositorio.ufscar.br/bitstream/ufscar/11392/6/license.txtae0398b6f8b235e40ad82cba6c50031dMD56TEXTdissertacaofinal_GOBBOCAIO-v2.pdf.txtdissertacaofinal_GOBBOCAIO-v2.pdf.txtExtracted texttext/plain126389https://repositorio.ufscar.br/bitstream/ufscar/11392/7/dissertacaofinal_GOBBOCAIO-v2.pdf.txt8dc3baa9a317ba4018a5c0358d99eb09MD57THUMBNAILdissertacaofinal_GOBBOCAIO-v2.pdf.jpgdissertacaofinal_GOBBOCAIO-v2.pdf.jpgIM Thumbnailimage/jpeg6609https://repositorio.ufscar.br/bitstream/ufscar/11392/8/dissertacaofinal_GOBBOCAIO-v2.pdf.jpge77cffe6d22aa0aee9f70641ec44e3d4MD58ufscar/113922023-09-18 18:31:22.579oai:repositorio.ufscar.br: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Repositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestopendoar:43222023-09-18T18:31:22Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)false |
dc.title.por.fl_str_mv |
Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento |
title |
Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento |
spellingShingle |
Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento Gobbo, Caio Augusto Rabello Mobilidade urbana Caminhabilidade Transporte ativo AHP SIG Urban mobility Active transportation Walkability ENGENHARIAS::ENGENHARIA CIVIL::INFRA-ESTRUTURA DE TRANSPORTES ENGENHARIAS::ENGENHARIA DE TRANSPORTES ENGENHARIAS |
title_short |
Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento |
title_full |
Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento |
title_fullStr |
Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento |
title_full_unstemmed |
Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento |
title_sort |
Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento |
author |
Gobbo, Caio Augusto Rabello |
author_facet |
Gobbo, Caio Augusto Rabello |
author_role |
author |
dc.contributor.authorlattes.por.fl_str_mv |
http://lattes.cnpq.br/9077157675025922 |
dc.contributor.author.fl_str_mv |
Gobbo, Caio Augusto Rabello |
dc.contributor.advisor1.fl_str_mv |
Gonçalves, Luciana Márcia |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9491069760631962 |
dc.contributor.advisor-co1.fl_str_mv |
Ribeiro, Rochele Amorim |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/7245761274405860 |
dc.contributor.authorID.fl_str_mv |
9b8b18d7-35f8-4dbc-a8bc-8d434695d300 |
contributor_str_mv |
Gonçalves, Luciana Márcia Ribeiro, Rochele Amorim |
dc.subject.por.fl_str_mv |
Mobilidade urbana Caminhabilidade Transporte ativo AHP SIG |
topic |
Mobilidade urbana Caminhabilidade Transporte ativo AHP SIG Urban mobility Active transportation Walkability ENGENHARIAS::ENGENHARIA CIVIL::INFRA-ESTRUTURA DE TRANSPORTES ENGENHARIAS::ENGENHARIA DE TRANSPORTES ENGENHARIAS |
dc.subject.eng.fl_str_mv |
Urban mobility Active transportation Walkability |
dc.subject.cnpq.fl_str_mv |
ENGENHARIAS::ENGENHARIA CIVIL::INFRA-ESTRUTURA DE TRANSPORTES ENGENHARIAS::ENGENHARIA DE TRANSPORTES ENGENHARIAS |
description |
The quality of pedestrian-oriented urban spaces is fundamental for economic development, public health, social welfare and environmental sustainability of a municipality. Many researchers base their studies on structural analysis of sidewalks and audits of spaces, considering aspects related to the safety, security, and attractiveness of the environment. However, there is a lack of studies that correlate characteristics of urban land use and occupation, as well as sociodemographic characteristics for the identification of urban spaces that are a priority to the focus on pedestrian. With the prioritization, the public management can identify punctually where to act to carry out studies, bring significant improvements to the walkability and choose, among the areas of the municipality, those that need more attention. Thus, the present study aims to develop a method that, based on the correlation of land use and socio-demographic variables, indicates such priority areas, named as Areas of Special Pedestrian Interest (AIEP), that is, priority areas for future analyzes and improvements related to the quality of pedestrianized urban space. The following steps are developed in the study: (i) selection of relevant variables, (ii) ranking variables according to hierarchical process analysis (AHP) in expert research, (iii) representation of results in GIS platform, (iv) identification of the AEIPs and (v) analyzing the walkability in selected zones. For the development of the method, the city of São Carlos (SP) is used as a study area because of the availability and ease of data collection, but it is expected that the method will be replicable in other scenarios. The results indicate about 1522ha of the urban region (19%) as (AEIP), extrapolating the consolidated urban center. Several "center of neighborhoods" regions are identified, presenting mixed occupation profile (residential, commercial and service uses). These areas are synthesized in 79 priority census tracts, encompassing about 60,000 inhabitants (27.1% of the population) and 50 km of road extension - highlighting roads of great structural, commercial and circulation importance to the municipality. The developed method was able to identify priority areas (AEIPs), correlating land use and socio-demographic characteristics and presenting guidelines for regions that need more attention in the pedestrian area and contributing to the management of municipal walking mobility. |
publishDate |
2019 |
dc.date.accessioned.fl_str_mv |
2019-05-08T17:51:59Z |
dc.date.available.fl_str_mv |
2019-05-08T17:51:59Z |
dc.date.issued.fl_str_mv |
2019-04-11 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
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masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
GOBBO, Caio Augusto Rabello. Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento. 2019. Dissertação (Mestrado em Engenharia Urbana) – Universidade Federal de São Carlos, São Carlos, 2019. Disponível em: https://repositorio.ufscar.br/handle/ufscar/11392. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufscar.br/handle/ufscar/11392 |
identifier_str_mv |
GOBBO, Caio Augusto Rabello. Identificação de Áreas de Especial Interesse Peatonal (AEIP) utilizando análise multicritério e ferramentas de geoprocessamento. 2019. Dissertação (Mestrado em Engenharia Urbana) – Universidade Federal de São Carlos, São Carlos, 2019. Disponível em: https://repositorio.ufscar.br/handle/ufscar/11392. |
url |
https://repositorio.ufscar.br/handle/ufscar/11392 |
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por |
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openAccess |
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Universidade Federal de São Carlos Câmpus São Carlos |
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Programa de Pós-Graduação em Engenharia Urbana - PPGEU |
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UFSCar |
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Universidade Federal de São Carlos Câmpus São Carlos |
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