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Choose your own adventure: How data source selection shapes urban accessibility analyses

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

Portuguese

A acessibilidade dos parques urbanos forma a saúde mental, o bem-estar físico e a coesão da comunidade. A medição é, portanto, central para o planejamento urbano e paisagístico. Embora os pesquisadores tenham debatido os impactos das diferentes medidas de acessibilidade sobre os resultados da análise, pouca atenção foi dada à variabilidade da seleção de fontes de dados. Os resultados das análises de acessibilidade variam dependendo do conjunto de dados usado para definir localizações e atributos dos parques? Comparamos quatro fontes de dados geoespaciais amplamente utilizadas – OpenStreetMap, Esri, SafeGraph e The Trust for Public Land – ao validar seus dados e medir o acesso aos parques em duas cidades. Esses conjuntos de dados pretendem cobrir as mesmas características espaciais, mas nossas descobertas revelam grandes discrepâncias

Machine translation (Meta M2M100); the English original follows.

Abstract

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 measuring park access across two cities. These datasets purport to cover the same spatial features, but our findings reveal wide discrepancies in accessibility results, driven by differences in dataset completeness, coverage, and accuracy between the sources. We provide guidelines for selecting and carefully validating data for accessibility analyses, as these decisions directly impact the accuracy and equity of downstream urban park planning and decision-making.

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Topics: Geospatial analysis, Geocoding, Geography, Land cover, Land use, Computer science

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