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 multi-model public transport and the establishment of multi-mode bus route selection model.
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