Spatial analysis reveals higher usage along participatory walking routes compared to citywide averages, indicating that crowdsourced tracking data can effectively validate community urban planning.
Walking plays an important role in improving public health and creating more livable cities. Participatory planning incorporates the local knowledge and preferences of residents, community organizations, and other stakeholders into the identification of walking routes. However, whether these routes are actually used after implementation remains insufficiently understood. Using Fukuoka, Japan, where community walking maps and routes have been developed through local participation for over two decades, this study combines these participatory walking routes with crowdsourced walking data, built environment indicators, and spatial analysis to substantiate their actual use and inform route improvement. The results show that these routes generally have higher walking usage than the citywide average, although substantial spatial differences remain. Hotspot routes were concentrated around waterfront areas, commercial districts, and public transport hubs, whereas coldspot routes were more common in suburban, mountainous, and island areas. Route usage was positively associated with street visibility, land-use diversity, population density, and public transport accessibility. Significant spatial dependence and heterogeneity further indicate that these associations vary across urban contexts. These findings highlight the value of local knowledge in identifying walking routes and the value of crowdsourced walking data in evaluating their actual use. Communities can build on this approach by involving local people in identifying walking routes and then using crowdsourced behavioral data to evaluate and refine them, supporting better walking environments.
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Feng et al. (2026) studied this question.
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