Authors: GyeongSang Yoo
Publish Date: 2014/11/21
Volume: 19, Issue: 4, Pages: 1108-1116
Abstract
Smartcard data from an automated fare collection system could be very useful to transit planners and researchers in several areas such as daytoday operation planning transit performance measurement and passenger behavior analysis Transfer penalties in this paper are assessed with a mixed logit model based on smartcard data in Seoul South Korea where more than 90 of transit passengers use smartcards to pay transit fares The estimated average transfer penalty for trips to south and north CBD within Seoul is 1124 minutes of invehicle time whereas the regional transfer penalty varies widely from 116 minutes to 1355 minutes of invehicle time across the districts We also found that Seoul transit passengers have a more negative perception of transfer time relative to invehicle time when they travel to north CBD than to south CBD
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