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Calculating access to parks and other polygonal resources: A description of open-source methodologies.
Spangler, Keith R; Brochu, Paige; Nori-Sarma, Amruta; Milechin, Dennis; Rickles, Michael; Davis, Brandeus; Dukes, Kimberly A; Lane, Kevin J.
Afiliação
  • Spangler KR; Boston University School of Public Health, Department of Environmental Health, Boston, MA; Boston University School of Public Health, Biostatistics and Epidemiology Data Analytics Center, Boston, MA. Electronic address: krspangl@bu.edu.
  • Brochu P; Boston University School of Public Health, Department of Environmental Health, Boston, MA; Boston University School of Public Health, Biostatistics and Epidemiology Data Analytics Center, Boston, MA.
  • Nori-Sarma A; Boston University School of Public Health, Department of Environmental Health, Boston, MA; Boston University School of Public Health, Biostatistics and Epidemiology Data Analytics Center, Boston, MA.
  • Milechin D; Boston University Information Services & Technology, Research Computing Services, Boston MA.
  • Rickles M; Sharecare, Research and Outcomes, Atlanta, GA.
  • Davis B; Sharecare, Research and Outcomes, Atlanta, GA.
  • Dukes KA; Boston University School of Public Health, Biostatistics and Epidemiology Data Analytics Center, Boston, MA; Boston University School of Public Health, Department of Biostatistics, Boston, MA.
  • Lane KJ; Boston University School of Public Health, Department of Environmental Health, Boston, MA; Boston University School of Public Health, Biostatistics and Epidemiology Data Analytics Center, Boston, MA.
Spat Spatiotemporal Epidemiol ; 47: 100606, 2023 11.
Article em En | MEDLINE | ID: mdl-38042531
Public health studies routinely use simplistic methods to calculate proximity-based "access" to greenspace, such as by measuring distances to the geographic centroids of parks or, less frequently, to the perimeter of the park area. Although computationally efficient, these approaches oversimplify exposure measurement because parks often have specific entrance points. In this tutorial paper, we describe how researchers can instead calculate more-accurate access measures using freely available open-source methods. Specifically, we demonstrate processes for calculating "service areas" representing street-network-based buffers of access to parks within set distances and mode of transportation (e.g., 1-km walk or 20-minute drive) using OpenRouteService and QGIS software. We also introduce an advanced method involving the identification of trailheads or parking lots with OpenStreetMap data and show how large parks particularly benefit from this approach. These methods can be used globally and are applicable to analyses of a wide range of studies investigating proximity access to resources.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Meios de Transporte / Caminhada Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Meios de Transporte / Caminhada Idioma: En Ano de publicação: 2023 Tipo de documento: Article