Assessing Elderly Walkability to Urban Parks Using Mobility Analysis and Multi-Source Data: A Case Study of Central Fuzhou, China

Abstract Ensuring equitable park access amid rapid urbanization and population ageing is essential. We propose an integrated framework that couples street-network impedance modelling with streetscape visual perception to assess elderly walkability to parks in central Fuzhou, China. A multi-source dataset—street networks, Street-View images, park polygons and demographic data—was compiled. Physical accessibility was calculated via weighted path impedance, whereas perceived accessibility was estimated by semantic segmentation of images and machine-learning calibration against expert scores. Combining the two yields a composite walkability index that exposes areas where dense networks coexist with poor visual environments and vice versa, delineating green corridors and under-served neighbourhoods. By fusing objective and subjective dimensions, the framework pinpoints priority zones for age-friendly design and scalable park-planning interventions.