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Discrete choice modeling study reveals key factors determining rail transit connection choices across categorized stations, suggesting targeted station design improvements.
The connection environment of urban rail transit directly affects its service level. However, it is time-consuming and labor-intensive to optimize the connection environment of each station. In this paper, the clustering analysis of the connection environment using SPSS divides the Xi’an Metro line 2 stations into four categories. Based on the SP survey, the combination design method is used to obtain the residents’ evaluation for the connection environment of Stadium Station. Using MNL model to analyze the influencing factors of the choice of traveler’s connection method and TransCAD to verify parameters. Finally, this paper obtains the utility function of walking, bicycle, and bus in each connection environment and optimizes the design of the connection environment for stadium station.
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Wang et al. (2020) studied this question.
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