Travel mode choice in small and media sized city based on random parameters Logit model
In order to provide new thoughts and new methods for traffic planning and management of small and medium-sized cities,the travel characteristics of residents in small and medium-sized cities was analyzed.Considering the heterogeneity of residents'travel mode choices,a travel mode choice model of based on random parameters Logit was constructed.Factors of psychological latent variables such as the requirement of comfort were introduced,and the structural equation model was used to calibrate the parameters,which reflects the relationship between latent variables and index variables.The results show that the prediction accuracy of the stochastic parameter logit model calibrated by structural equation is higher than 95%,which indicates that the structural equation model has good parameter calibration effect,and the constructed stochastic parameter logit model has good fitting degree.In the utility function of the model,the coefficient of travel time is a random parameter,which is related to the individual characteristic variables,travel characteristic variables and psychological latent variables of travelers.Among them,the walking time to the bus stop has the greatest impact on the travel utility,and the value of time decreases by 48 yuan for each additional unit.In addition,the marginal utility of different travel modes on driving time is different.The marginal utility of bus turns from increase to decrease after 45 min.Therefore,the random parameters Logit model considering the heterogeneity of individual psychological latent variables can describe the actual travel mode choice behavior of residents in small and medium-sized cities,and has a stronger explanation for the mechanism of travel characteristics.
urban transportationtravel mode selectionrandom parametersmall and medium citiesstructural equation modelmarginal effect
万方数据
维普
