高速铁路成网条件下跨城市群客流输送模式

Passenger flow transport modes of inter-city groups with a high-speed railway network

中国高速铁路网络日益完善,城市群数量明显增多且辐射范围逐渐扩大,现有客流输送模式难以满足旅客出行需求,需研究在高速铁路成网条件下满足旅客跨城市群出行的客流输送模式。该文基于改进MNL(multinational logit)模型计算不同输送模式客流损失率,构建基于跨城市群出行选择的高速铁路网络化客流输送模式优化模型。针对模型中精准识别网络核心节点、客流中转换乘的问题,分别提出基于熵权TOPSIS(technique for order preference by similarity to ideal solution)的网络节点测度算法、基于网络中心性的中转换乘模式选取算法。选取节点测度值在0.15以上的22座城市构成的网络代表全局路网,实例结果表明:基于跨城市群出行选择的高速铁路网络化客流输送模式客流直达率提高11.54%,列车开行数量减少90列。

China’s high-speed railway network is becoming more developed and urban agglomerations are gradually expanding with significantly more new urban agglomerations. Passenger transportation modes need to be further studied to meet the needs of passengers traveling across urban agglomerations on high-speed rail networks. This study used an improved multinational logit(MNL) model to calculate the passenger flow loss rate of various transportation modes and constructed a model for optimizing high-speed railway network passenger transport based on the need for cross-urban group travel. The core nodes in the network were identified using a network node measurement algorithm based on the entropy weight technique for order preference by similarity to ideal solution(TOPSIS) algorithm. Transition nodes in the passenger flow were identified using a transition multiplication selection algorithm based on network centrality. The model was then applied to the network composed of 22 cities with node measurement values above 0.15 to analyze full and partial network connections. The results show that the total passenger flow rate on the high-speed railway networks for cross-city travel can be increased by 11.54% with 90 fewer trains.