AN APPROACH FOR RAIL TRANSIT RIDERSHIP ANALYSIS BASED ON LARGE-SCALE MOBILE PHONE DATA

摘要

The rapid development of urban rail transit system requires an exact knowledge of passenger distribution characteristics. The existing study and practical operation cannot track passenger flow in the metro system at the individual level. This paper addressed on the construction of basic framework of metro ridership analysis through large-scale mobile phone data. Two algorithms were proposed in this paper for trajectory inference based on three kinds of critical location logs in the mobile phone dataset. The proposed algorithms track passengers' route performance in the metro network from the standpoint of the individual and the specific line respectively. Then a case study of Metro Line 4 in Shanghai was carried out as demonstration of practical application as well as the verification of the proposed algorithms. In the brief analysis of the outputs, the temporal distribution of ridership and the distribution characteristics of interchange ridership were discussed and compared with the official statistics. Results proved that outputs of the proposed algorithms were in accordant with the actual condition and capable of metro ridership analysis.