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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

Spanish

La accesibilidad de los parques urbanos forma la salud mental, el bienestar físico y la cohesión de la comunidad. La medición es, por lo tanto, central para la planificación urbana y del paisaje. Aunque los investigadores han debatido el impacto de las diferentes medidas de accesibilidad en los resultados del análisis, se ha prestado poca atención a la variabilidad de la selección de fuentes de datos. ¿Los resultados de los análisis de accesibilidad varían dependiendo del conjunto de datos utilizado para definir ubicaciones y atributos de los parques? Comparamos cuatro fuentes de datos geoespaciales ampliamente utilizadas – OpenStreetMap, Esri, SafeGraph y The Trust for Public Land – mediante la validación de sus datos y la medición del acceso al parque entre dos ciudades. Estos conjuntos de datos pretenden cubrir las mismas características espaciales, pero nuestros hallazgos revel

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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