An Application of Hierarchical Structure Model for Trip Mode Choice Forecasting in China
Joint Authors
Hu, Qizhou
Wang, Wei
Zhou, Zhu-Ping
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Trip mode split is the result of interrelated and mutually independent factors, such as city scale, urban form, economic level, trip distance, and travel time.
In order to analyze the formation of traffic structure, it is necessary to make a comprehensive study on the mechanism of these factors and obtain the basic causal relationship of them.
Based on this, by using the hierarchical structure model in system engineering, this paper firstly clarifies the logical relationship of different factors.
Then, the existing trip survey data of several cities is used to establish the mathematical relationship of various factors of the structure model.
Finally, the mode choice forecasting method is proposed based on the structure model of influencing factors.
The case study result of six cities shows small bias, indicating that the proposed method is of great practical value.
Policy makers can use the results to discover the trip structure feature and grasp the direction of transportation development policy.
American Psychological Association (APA)
Zhou, Zhu-Ping& Wang, Wei& Hu, Qizhou. 2015. An Application of Hierarchical Structure Model for Trip Mode Choice Forecasting in China. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1075080
Modern Language Association (MLA)
Zhou, Zhu-Ping…[et al.]. An Application of Hierarchical Structure Model for Trip Mode Choice Forecasting in China. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1075080
American Medical Association (AMA)
Zhou, Zhu-Ping& Wang, Wei& Hu, Qizhou. An Application of Hierarchical Structure Model for Trip Mode Choice Forecasting in China. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1075080
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075080