The Behavior of Access Mode Choices for Rail Stations Based on Multiple Logit Model

Konferenz: ISCTT 2022 - 7th International Conference on Information Science, Computer Technology and Transportation
27.05.2022 - 29.05.2022 in Xishuangbanna, China

Tagungsband: ISCTT 2022

Seiten: 5Sprache: EnglischTyp: PDF

Autoren:
Zhang, Yichi; Liu, Xiaojia; Gao, Jianjie (Navigation College, Jimei University, Fujian Xiamen, China)

Inhalt:
In economically developed cities, urban rail transit is the backbone of the whole urban transportation system. If the relationship between rail transit and other transportation connection modes can be coordinated, it will not only shorten people's travel time and improve travel comfort, but also expand the service scope of urban rail transit and finally optimize the travel structure of urban residents. In order to improve the efficiency of urban rail transit station connection, this paper takes Xiamen rail transit as the research background, based on multiple logit models, uses RP survey method to design questionnaire, considers the personal attributes and travel attributes of rail transit travelers, establishes Xiamen rail transit station connection mode selection model, and uses SPSS 23.0 to calibrate and test the parameters, Finally, the sharing rate of each connection mode is obtained by the method of characteristic aggregation. The research results can provide a basis for studying the connection behavior mechanism of urban rail transit stations, reasonably planning the layout of rail transit connection facilities, and improving the travel efficiency of urban rail transit. It has urgent theoretical and practical significance for optimizing urban traffic structure and rail connection resource allocation.