Study On Route Choice Of Public Transportation Based On Mixed Logit-cumulative Prospect Theory

With the rapid development of social economy,the urban public transportation system is becoming more and more perfect,and it is currently showing the development trend of scale,network and diversification,making the route options available for travelers to travel more and more diverse.Under the random and uncertain complex road network environment,travelers have different preferences due to differences in individual characteristics,and in the actual environment,travelers will show bounded rational attitudes and different route choice behaviors.Therefore,by scientifically predicting and calculating the route chosen by travelers,we can find suitable methods to guide travelers to travel,formulate traffic management measures scientifically and rationally,and optimize the urban transportation system.First of all,this article conducts an in-depth study of the theoretical basis and model of the Mixed logit model and the cumulative prospect theory model describing the bounded rationality of travelers and the heterogeneity of choice preferences;the mechanism and influencing factors of traveler’s choice behavior in urban public transport travel The analysis lays the theoretical foundation for follow-up research.Then,the urban residents of Xi’an city are selected as the research group,and the travel route choice of travelers is the object.This paper adopts questionnaire survey to collect travel information preferences of travelers,and obtain explanations such as travelers’ personal characteristics and path attributes that affect travel routes.Variables,the explanatory variables in model construction are determined through correlation analysis,so that model calibration and travel analysis can be completed more smoothly in the later stage.Finally,based on the Mixed Logit model in the study of travel behavior under the stochastic utility theory,the cumulative prospect theory is introduced to improve the model framework.The traditional utility function is improved by constructing reference points,profit and loss values,and value functions in profit and loss states,and subjective objective utility to the perceived value of the plan considering the risk decision preference,and then predicts the plan through the cumulative prospect value.This study is based on the analysis of the model established by combining the Logit model and the cumulative prospect theory model.After comparison,it is found that the model of this study can more accurately make expected judgments on public transportation route selection,explanatory variables,fit and prediction accuracy Have a good improvement.