Unveiling Urban Oasis: Insights From OSM Data on Green Spaces

Abstract

OpenStreetMap data is a valuable resource for analyzing urban green spaces globally. This study reviews extensive literature showcasing diverse applications of OSM data in understanding green infrastructure distribution, accessibility, and characteristics. Researchers utilize various methodologies including spatial analysis, feature extraction, classification, network analysis, temporal analysis, and integration with other datasets to quantify green infrastructure and assess urban green space quality. OSM data offers substantial opportunities with global coverage, open access, rich attribute information, timeliness, and customizability, enabling nuanced analyses and comparative studies. However, limitations such as data quality variability, inconsistent tagging, and biases in coverage exist, necessitating careful consideration and validation methods. Despite challenges, judicious utilization of OSM data can advance understanding of urban green spaces, aiding evidence-based decision-making in urban planning and environmental management.