- Article
23 Pages
Planning agencies need to identify where detailed pedestrian assessment is most useful before commissioning field surveys. Public spatial data can support this task, but the locations selected by a composite screening score may depend on expert judgments and indicator assumptions. This study develops a workflow for preliminary walkability screening and evaluates the stability of its spatial selections in two railway-station areas in Suwon, South Korea. Publicly available indicators are combined with expert-derived weights on a 100 m grid, and low-score locations are examined using spatial clustering, expert resampling, and alternative indicator specifications. Station-area rankings and cell-level selections responded differently to changes in expert weights and indicator specifications. A combined persistence criterion identifies 17 candidate cells in Gwanggyo Jungang and three in Suwon under Benjamini–Hochberg adjustment; the more conservative Benjamini–Yekutieli procedure reduces these counts to 12 and zero. These cells meet the specified screening criteria, but their pedestrian conditions have not been independently verified. The workflow supports initial assessment without new site observations and identifies both locations and components for subsequent investigation. Its practical contribution is to make the uncertainty of spatial selection explicit while retaining component-specific concerns that a composite criterion may overlook.
Urban Sci.
19 October 2026






![BART system map [35].](https://mdpi-res.com/cdn-cgi/image/width=281%2Cheight=192/https://mdpi-res.com/urbansci/urbansci-10-00459/article_deploy/html/images/urbansci-10-00459-g001-550.jpg)




