Machine identification method of subway service quality based on smart card data  

作　　者：Maosheng Li Ci Tu Pu Wang 

机构地区：[1]School of Traffic and Transportation Engineering,Central South University,Changsha 410075,Hunan,China [2]Rail Data Research and Application Key Laboratory of Hunan Province,Central South University,Changsha 410075,Hunan,China.

出　　处：《Transportation Safety and Environment》2022年第2期58-75,共18页交通安全与环境（英文）

摘　　要：A new automatic evaluationmethod of subway service quality based onmetro smart card data is proposed suitable for three different levels:station pair,railway line and subway network,which has merits of overcoming the previous lagging and subjective evaluation in the system of‘questionnaire survey plus evaluationmethod’.First,passengers’travel time distribution for different operating periods in station OD pairs are introduced initially for service evaluation purposes and are classified into different groups in order to infer the station’s operating characteristics at the different periods.Second,the classification is verified by K-means cluster analysis and K-S tests.Third,the service quality weight indicator is proposed to identify the service quality of the entire metro network from the dual perspectives of passengers and companies.Finally,the feasibility and rationality of the proposed method are verified by Shenzhen metro smart card data as an example.The new automated evaluation method of subway service quality is suitable for online and offline application.

关 键 词：Smart card data Travel time distribution K-means cluster analysis Subway service quality Kolmogorov-Smirnov test 

分 类 号：U293.6[交通运输工程—交通运输规划与管理]