Frontiers in Management Research

Download PDF (1116.5 KB) PP. 100 - 107 Pub. Date: October 8, 2018

DOI: 10.22606/fmr.2018.24004

• Lilei Wang^*
  School of Transportation and Logistics, Southwest Jiaotong University, No. 111 North Second Ring Road, Chengdu, Sichuan 610031, China

As a kind of transport big data, mobile signaling data has been widely used in various fields of urban transport research with the characteristics of wide coverage, real-time dynamic and low acquisition costs. This paper constructs the method of extracting the travel information of the rail transit passenger flow on the basis of summarizing the shortage of the existing algorithms for recognizing the travel path of the rail transit. In the entering-station identification, signaling data generated by different signaling events with location area updating are used to identify key trajectory entering-points based on space-time sequences between adjacent key trajectory points and the location information of the rail transit cell. In the leaving-station identification, a method based on the principle of proximity was proposed which combined with the cell information near the orbital station. The results show that passenger flow characteristic information of rail transit can be obtained accurately according to the phone signaling data. The passenger flow distribution characteristics acquired can meet the nature of land use around the station.

Urban rail transit, cell phone signaling, passenger flow characteristics

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