Research on the Influencing Factors of Residents’ Travel Based on Bayesian Network

Abstract

Traffic has become an important factor affecting the development of a city and the choice of mode of transport is an important and indispensable component of traffic planning and policy development. In this paper, the urban residents of Shenyang City as the object of study, the application of Bayesian network method, the use of Shenyang city residents travel mode survey data to calculate the influencing factors of the relevant factors and behavioral economics theory of urban residents Travel mode selection to do a whole analysis and research. On the basis of reading a lot of literature, this paper briefly introduces the influencing factors of urban residents ‘travel mode, and makes a detailed analysis of residents’ travel behavior by using the results of previous literature research. The contents of the analysis mainly include the relative deterministic factors and the relative uncertainty factors that affect the residents’ travel mode. Then, the related knowledge and learning methods and parameter estimation of the Bayesian network are introduced. The Bayesian network method and the economic theory Combined to further analyze and study the influencing factors of residents’ travel mode. Draw conclusions and provide some suggestions and reference for the improvement of traffic policy.