Micro-Circulation Bus Route Area Identification under the TOD Concept

Based on the TOD (Transit-Oriented Development) concept, this paper addresses the “last mile” issue in urban public transportation. It proposes a multidimensional decision-making model for identifying micro-circulation bus route areas. By integrating indicators such as the TOD comprehensive index, short-distance demand intensity, and branch network density, relevant data is processed using FME linking ArcGIS. The model combines entropy-weighted TOPSIS and unsupervised consensus clustering analysis techniques, utilizing ArcGIS spatial analysis functions to accurately identify priority deployment areas for micro-circulation buses. Taking Jiangbei District in Chongqing as an example, the model divides the study area into four types of traffic zones: (1) Core high-density areas, which require an increase in micro-circulation bus routes due to extremely high short-distance travel demand; (2) Periphery active population areas, which require flexible shuttle services due to transit gaps and tourist peak demands; (3) Two other areas that do not require micro-circulation bus routes at this stage. The supply-demand targeted optimization strategy based on clustering analysis can enhance the resilience of the bus network, alleviate pressure on trunk transportation, and promote the coordinated development of land use and public transport services. It balances the sustainable direction of the TOD concept with the precise adaptation of micro-circulation buses, promoting green travel and efficient urban space governance.