Research on the Choice of Shared Car Travel Behavior Based on Medium Commuting Distance

With the rapid development of urbanization level, the choice of urban residents to travel under medium commuting distance has a great impact on urban traffic congestion and environmental pollution. Shared car travel modes can alleviate traffic pressure. This paper takes the travel choice behavior of residents under the medium commuting distance as the research object. Through the t-test to the age, the number of private cars, whether there is car rental experience, travel expenses and travel time as the influencing factors. Multivariate Logit selection probability model of the traveler’s choice of private car, shared car, taxi and net car is established. The SPSS software is used to calibrate and test the model parameters by using the maximum likelihood estimation method to obtain the travel mode selection probability, which provides a reference for the development of shared car mode.