城市轨道交通网络拥堵易发点的识别及评价

Identification and Evaluation of Congestion-prone Points in Urban Rail Transit Network

在城市轨道交通物理拓扑层、设施能力层与客流分布层网络模型基础上,构建了多属性网络。阐述了网络拥堵易发点的网络拓扑、网络运输能力及网络客流等特征指标,并采用基于AHP-熵权法的组合权重法对拥堵易发点进行拥堵风险的辨识和评估,探究了网络拓扑结构、运输能力和客流需求之间的关联性。在北京轨道交通的实例中,识别的拥堵易发点多为衔接郊区线与市区线的换乘站。这验证了识别和评价方法的有效性和实用性。

Based on the network model of physical topology layer,facility capability layer and passenger flow distribution layer of urban rail transit,a multi-attribute network is constructed.The feature indicators of network congestion-prone points,such as network topology,network transportation capacity,and network passenger flow are expounded,and combination weight method based on AHP-entropy weight method is adopted to identify and evaluate the congestion risk of congestion-prone points,and to explore correlation among network topology structure,transportation capacity and passenger flow demand.In the case of Beijing Rail Transit,most of the identified congestion-prone points are the transfer stations that connect suburban line and urban line.This verifies the validity and practicability of the identification and evaluation method.