Analysis of Rail Passenger Travel Patterns Using Transit Smart Card Data

초록

This study used transit smart card data from one weekday and one weekend in Seoul to analyze rail travel patterns. The travel patterns were analyzed with respect to the time and frequencies of boarding and alighting, transfer chain and time, and the geographic distribution of the passenger volume of railway stations. The results indicated that passenger traffic was heaviest during morning peak hours, while rail trips in the evening are widely dispersed after 7pm. Single-mode trips made up approximately 90% of the total, and trips involving more than three transfers accounted for less than 2% of the total. The access distance and time for passengers transferring from bus to rail were shorter than those of passengers transferring from rail to bus. We hope that these findings are beneficial to transit agencies that seek to improve the convenience and accessibility of public transportation.