Evaluation of Metro Service Quality using Transit Smart Card Data

초록

This study analyzed the transit service quality using the transit smart card data with respect to service measures such as schedule adherence of metro, occupancy (crowdedness), and operation speed of bus. In order to analyze the transit services, we developed data mining logics and applied them to a case study. The results show that low level of service on metro punctuality and bus operational speed are observed at certain route segments during peak hours (i.e. 7am to 9am). Further a close relationship between vehicle occupancy and punctuality is found, which illustrates the high passenger demand causes the metro delay. These findings are beneficial to transit agencies and planners for promoting more transit-friendly for addressing mobility problems of the transit service.