<![CDATA[This study addresses the prioritization of angkutan kota (angkot) routes to be integrated as feeder services for the Bus Rapid Transit (BRT) system in Cimahi City, West Java, extending a previous GeoAI-based spatial model of urban surface temperature developed for the same city. Four registered feeder-corridor routes were evaluated using seven operational and environmental criteria: load factor, operation rate, service evenness, route overlap, schedule deviation, headway, and mean land surface temperature (LST) extracted through zonal statistics within a 150 m buffer of each route, based on a random-forest-predicted LST raster. Criteria weights were derived objectively using the Rank Order Centroid (ROC) method based on an importance ranking, then aggregated with Simple Additive Weighting (SAW) to produce a composite priority score. Results show that route 01.02.05 (Ps. Antri-Cibeber via Contong) ranked highest (SAW score 0.827), driven mainly by its superior load factor, while the route previously rated highest in the official performance report ranked second once the thermal criterion was included. The findings indicate that incorporating a spatial thermal criterion shifts prioritization outcomes relative to conventional operational-only assessment, offering transport authorities a more environmentally responsive basis for feeder network restructuring decisions.]]>
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