Utility function of typical urban passenger traffic mode selection

Making the urban traffic mode structure change to an optimal state, it is necessary and important to establish applicable utility function of the urban passenger traffic mode selection. The main influencing factors are chosen from the urban resident trip survey data, and will be used as utility function parameters. To correct the defects of the traditional linear weighted utility function, the utility function without inter-factor correlations is expressed by the multi-dimensional vectors, based of which, the traffic mode-split model is established. Then the distance between vectors is defined with the inner product method and the vectors are sorted with the distance analysis method. The calculation example in the last shows that, the new utility function can make the traffic mode-split model better reflect the relationship between the travel distance and the mode-split rate. Because the mode-split value is more reasonable and better fit the real case of travel mode selection.