Model for Estimation Urban Transportation Supply-Demand Ratio
Joint Authors
Pei, Yulong
Wu, Chaoqun
Gao, Jingpeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The paper establishes an estimation model of urban transportation supply-demand ratio (TSDR) to quantitatively describe the conditions of an urban transport system and to support a theoretical basis for transport policy-making.
This TSDR estimation model is supported by the system dynamic principle and the VENSIM (an application that simulates the real system).
It was accomplished by long-term observation of eight cities’ transport conditions and by analyzing the estimated results of TSDR from fifteen sets of refined data.
The estimated results indicate that an urban TSDR can be classified into four grades representing four transport conditions: “scarce supply,” “short supply,” “supply-demand balance,” and “excess supply.” These results imply that transport policies or measures can be quantified to facilitate the process of ordering and screening them.
American Psychological Association (APA)
Wu, Chaoqun& Pei, Yulong& Gao, Jingpeng. 2015. Model for Estimation Urban Transportation Supply-Demand Ratio. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073993
Modern Language Association (MLA)
Wu, Chaoqun…[et al.]. Model for Estimation Urban Transportation Supply-Demand Ratio. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1073993
American Medical Association (AMA)
Wu, Chaoqun& Pei, Yulong& Gao, Jingpeng. Model for Estimation Urban Transportation Supply-Demand Ratio. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073993
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073993