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This paper proposes measurements regarding the performance evaluation indexes of urban public transport based on Intelligent Card (IC) data. The analysis is performed in a 14-day period. In order to calculate the number of station passengers, the data mining techniques are used to process the trade records according to the difference of sequential trade time. The test shows the travel and operations during the peak hours of Beijing subway lines, and the comparison result shows higher intensity during peak hours. © 2010 ASCE.
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