Research On Travel Mode Choice Behavior Of Urban Rail Transit Based On Mixed Logit Model

In recent years,with the continuous increase of the urban motor vehicle ownership rate in China,the problem of urban traffic congestion is becoming more and more prominent,which seriously affects people’s travel efficiency,and public transportation has become a mainstream.However,with the rapid development of public transportation,the structure of public transportation line network is becoming more and more complex,and there will be inevitable competition between large and medium volume public transportation modes,especially in the same traffic corridor.This paper intends to study the mode choice of subway and tram in the same traffic corridor,focusing on the travel mode choice behavior of passengers who prefer public transportation in the same traffic corridor,and taking into account the influence of psychological factors on the travel choice behavior of such travelers.Finally,based on the mixed Logit model,the travel mode choice behaviors of subway passengers and tram passengers are studied,and the key factors and action rules of the travel mode choice behaviors of the two different travel groups are deeply discussed.This paper mainly discusses the competition and cooperation between the high-capacity metro line 1 and the mid-capacity streetcar 202.By using 2018 dalian city for travel in the same traffic corridor respectively 202 trams passenger and subway line one passenger survey data,the use of the residents of the urban rail transportation travel MNL model was constructed and the ML model respectively,and discusses the subway passengers and tram passengers choose their way of influencing factors of two types of groups.Finally,according to the mixed logit models of the two groups,the travel behaviors and rules of passengers of subway line 1 and streetcar 202 in the same traffic corridor were studied from the perspective of calibration and sensitivity analysis of model parameters.In this study,NLogit software was used to build a Logit discrete selection model.The results show that ML model has higher model accuracy.By comparing the ML models of the two groups,it is found that in the same traffic corridor,the factors affecting the travel mode choice behavior of subway Line 1 passengers and streetcar 202 passengers are not the same,and the differences between different passenger groups cannot be ignored.Secondly,the two types of passengers have different preferences for urban public transportation modes.Thirdly,when two types of passengers choose public transportation mode in the same corridor,they have different sensitivities to the same influencing factor.Based on the above conclusions,this paper puts forward reasonable measures to promote the development of urban public transportation modes in large and medium volume traffic corridors,and provides new ideas and directions for the planning and improvement of urban traffic corridors in the future.