Composite public transport network layout optimization strategy based on interlayer correlation
This study addresses the coupling of subway and bus networks, analyzing the structural performance of the composite network formed by these networks in Beijing's public transport system and exploring strategies for optimizing its layout. Firstly, subway and bus transit network topologies are constructed, and a coupling rule based on transfer distance is applied to formulate the subway-bus composite network. Subsequently, topological metrics (average shortest path length, average clustering coefficient, global efficiency, and local efficiency) and resilience indicators (size of the largest biconnected subgraph and number of network cut-points) are computed for both single-layer and double-layer networks to assess structural performance. Furthermore, an interlayer correlation index based on the Kendall rank correlation coefficient is proposed to quantify coupling strength. Finally, four strategies for enhancing interlayer correlation are proposed and validated through experi-ments generating bus routes. Results indicate that a positive correlation in interlayer correlation of Beijing's composite public transport network. The "weak link priority" inter-layer correlation enhance-ment strategy shows the most promise, expected to improve global efficiency by 3.89％, local efficiency by 25.62％, and reduce network cut-points by 33.84％. These findings provide decision-makers with insights for further optimizing urban public transport network planning.
urban public transportcomposite networktopology analysisresilience analysisinterlayer correlation
万方数据
维普
