Chapter
Apr 26, 2012
Evaluation of Urban Rail Network Based on Analytic Network Process
Authors: Chao Zhu [email protected], Zheng Wang [email protected], and Xiaofang Shan [email protected]Author Affiliations
Publication: ICTE 2011
Abstract
Urban rail transport, which is an efficient and green transportation mode, is bound to become increasingly popular in China. Urban rail network evaluation problem, as a new type of multi-target logic and decision problem, has large theoretical and practical significance. This study illustrated the potential of analytic network process (ANP) in rail network evaluation with multiple objectives. In this paper, the decisions software "Super Decisions" (SD) was applied to solve the problem, which indicates that the ANP method can effectively optimize the multiple targets evaluation process. This method basically solves the rail network evaluation problem in rail planning, especially when the factors are interdependent.
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Published In
ICTE 2011
Pages: 31 - 36
Copyright
© 2011 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Business management
- Computer programming
- Computer software
- Computing in civil engineering
- Engineering fundamentals
- Infrastructure
- Models (by type)
- Optimization models
- Practice and Profession
- Rail transportation
- Sustainable development
- Traffic engineering
- Transportation engineering
- Transportation management
- Transportation networks
- Travel patterns
- Urban and regional development
- Urban areas
Authors
Affiliations
Ph.D. Candidate, School of Transportation Engineering, Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 4800 Cao'an Road, Shanghai, 201804, P. R. of China.E-mail: [email protected]
Associate Professor, College of Transport and Communications, Shanghai Maritime University, 1550 Pudong Avenue Shanghai, 201804, P. R. of China.E-mail: [email protected]
Associate Professor, School of Economics and Management Tongji University, 1239 SipingRoad, Shanghai, P.R. China.E-mail: [email protected]
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