Traffic-Mode Choice Predict Model of the Comprehensive Transportation Hub Based on Nest Logit Model
Xuemei Zhou, Xiaofei Yu, Xiaoguang Yang, Baiying Shi
Abstract
Xuemei Zhou, Xiaofei Yu, Xiaoguang Yang, Baiying Shi
Abstract
On the basis of discrete choice model theory the characteristics between the correlations of different options are analyzed. The characteristics of various traffic-mode that are in the comprehensive transportation hub and the Nest Logit mode is used to establish the traffic-mode choice prediction model which determines its utility function, calculates the probability of traffic-mode choice, and determines the model parameters. Using the survey data of Zhongshan City, in the light of the different distances the traffic-mode choice is predicted; furthermore it compares, analyzes and forecast results with the actual survey results, which could verify the applicability of the model.
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On the basis of discrete choice model theory the characteristics between the correlations of different options are analyzed. The characteristics of various traffic-mode that are in the comprehensive transportation hub and the Nest Logit mode is used to establish the traffic-mode choice prediction model which determines its utility function, calculates the probability of traffic-mode choice, and determines the model parameters. Using the survey data of Zhongshan City, in the light of the different distances the traffic-mode choice is predicted; furthermore it compares, analyzes and forecast results with the actual survey results, which could verify the applicability of the model.
Key concepts: Mode (computer interface), Mode choice, Logit, Logistic regression, Discrete choice, Computer science, Mixed logit, Function (biology)