Abstract: Climate risks along community walking routes vary continuously, and a single mean value cannot adequately characterize their spatial extent and continuity. This study develops a five-stage framework for the climate-adaptive evaluation and optimization of community walking routes, comprising environmental sensing, risk assessment, route diagnosis, strategy optimization, and management feedback, and applies it to the Langxi area of Nanning to demonstrate its applicability. Based on ENVI-met simulations, three pairs of conventional and alternative routes are compared under hot-humid summer conditions and cold winter conditions with relatively strong background winds. Route-length-weighted mean UTCI and wind speed, the proportion of risk-exposed segments, and the maximum continuous risk distance are used to represent exposure intensity, affected extent, and spatial continuity, while detour rates are incorporated to evaluate route-substitution feasibility. The results show that very strong heat stress covers nearly the entire routes at 12:00 and 14:00 in summer, leaving limited scope for route switching. At 18:00, route differences become more pronounced: P1-B and P3-B provide cooling benefits, although P1-B entails a 31.91% detour. In winter, cold stress is concentrated at 8:00 and 18:00. P2-B combines warming and wind-reduction benefits with a low detour rate of 0.26%, whereas P3-B increases both cold-stress and higher-wind-speed exposure. The framework distinguishes differential risks that can be mitigated through time-specific route switching from network-wide risks that require spatial intervention, and translates the diagnosis into season- and time-specific route recommendations and spatial-renewal strategies. As the model has not been validated against synchronous field measurements, the results are intended primarily for relative comparisons among routes under the same boundary conditions. Within this scope, the proposed frameworkIt links microclimate simulation, route-level risk diagnosis, and planning responses, providing methodological support for refined climate adaptation of community walking environments.