Assessing the impact of urban amenities on people with disabilities in London: A multiscale geographically weighted regression analysis

Disability groups rely on urban infrastructure more than the general urban population. This study examines the spatial distribution of urban amenities in relation to disability groups in London. 17 independent variables were selected from multi-source data and categorized into four groups: green space and amenity, land use, basic service, and transportation network. Employing Ordinary Least Squares (OLS), Geographically Weighted Regression (GWR), and Multiscale Geographically Weighted Regression (MGWR) models, the analysis found no significant correlation between disability density and amenities such as supermarkets, bus stations, and subway stations. However, the results revealed pronounced inequities in green space accessibility and an over-concentration of commercial areas in Inner London. These findings underscore the need for targeted policy interventions to improve access to green spaces, enhance inclusivity in urban planning for individuals with disabilities, and implement data-driven resource allocation strategies to address spatial disparities in urban amenities.