The mining of IC card data for commuters’ classification and analysis of bus route choice plays an important role for public transport passengers’ choice behavior analysis, and formulating a scientific and reasonable traffic planning strategy. The authors choose some indicators for passengers’ classification in Beijing and use classification and regression tree model to build the classifier. Three parameters: departure time, travel distance and travel frequency, as the classification parameters, are input into the model and the results show 45 classification passengers; Among them, strong commuting passengers accounted for 7.25%, weak commuting passengers accounted for 30.27%, and accidental commuting passengers accounted for 62.48. This paper also analyzes the characteristics of the public transport route choice for all classification groups from four aspects: the overall characteristics, transfer characteristics, travel characteristics and subway travel characteristics. The conclusions of this paper can provide a theoretical basis for the analysis of passenger flow composition of multimodel public transport and the establishment of multi-mode bus route selection model.
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/Journal of Wuhan University of Technology (Transportation Science and Engineering)