基于改进灰聚类模型的轨道站点设施匹配度评价

An Evaluation Method of Matching Degree of Transit Station Transfer Facilities Based on Improved Grey Clustering Model

在大量实地调查的基础上,将站台、楼梯、换乘通道、闸机、安检作为关键设施;基于行人仿真技术,分析上述设施的客流密度变化特性,明确各类设施负荷度等级评定标准;最后,以客流密度为指标,构建可合理反映轨道换乘站设施匹配程度的灰聚类模型。通过对北京市5个典型站点进行灰聚类模型的评价应用,证明该模型能够客观反映站点设施之间的匹配程度。

Firstly, platform, stairs, transfer channel, auto fare collection （AFC） machine and security check machine were chosen on the basis of field investigations as key transfer facilities. The passenger density variation law of key transfer facilities was then analyzed by using pedestrian simulation technology, and the load degree of each type of transfer facility was defined based on passenger density. With passenger density as an evaluation index, a grey clustering evaluation model was built to evaluate the matching degree of transfer facilities in an urban rail transit transfer station. An evaluation demonstration of five typical transit stations was carried out later, and the evaluation result shows that the model can objectively reflect the matching degree of transfer facilities in an urban rail transit transfer station.