Station Service Level Evaluation for Urban Rail Transit Network Based on Travel Time Delay

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Abstract
The decrease of station service level of urban rail transit (URT) is caused by passenger flow congestion, especially in peak hours. It seriously influences the safety of URT daily operation. The existing evaluation methods mainly depend on pedestrian flow indexes. In this paper, a new evaluation method based on travel time delay using the mining technology of automatic fare collection (AFC) data is proposed to provide passenger-oriented service information by synthetic indexes: congestion delay, generalized stranded times, and the number of stranded passengers. To avoid the transfer influence, we selected the specific data, whose origin station and destination station are in the same line. Finally, Beijing Subway is used as a case study to verify this method. Results suggest that the proposed method can effectively assess the station service level.

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