Geoff Boeing, Jiyoon Kim, Daniele Simon-Thompson, Jaehyun Ha, Ruoyu Chen · 2026 · Journal of Transport Geography
DOI: 10.1016/j.jtrangeo.2026.104841 · cited by 0 works (OpenAlex) · open-access PDF
Meskipun para peneliti telah membahas dampak dari berbagai langkah aksesibilitas pada hasil analisis, sedikit perhatian telah diberikan pada variabilitas dari pilihan sumber data. Apakah hasil analisis aksesibilitas bervariasi tergantung pada dataset yang digunakan untuk menentukan lokasi dan atribut taman? Kami membandingkan empat sumber data geospasial yang digunakan secara luas - OpenStreetMap, Esri, SafeGraph, dan The Trust for Public Land - dengan memvalidasi data dan mengukur
Machine translation (Meta M2M100); the English original follows.
Urban park accessibility shapes mental health, physical well-being, and community cohesion. Measuring it is thus central to urban and landscape planning. Although researchers have debated the impacts of different accessibility measures on analysis results, scant attention has been paid to variability from data source selection. Do the results of accessibility analyses vary depending on the dataset used to define park locations and attributes? We compare four widely used geospatial data sources - OpenStreetMap, Esri, SafeGraph, and The Trust for Public Land - by validating their data and measur
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Topics: Geospatial analysis, Geocoding, Geography, Land cover, Land use, Computer science
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