Chapter
Apr 26, 2012
Development of Mass Rapid Mode Choice Model Based on the Improved Data Envelopment Analysis Method
Authors: Min Yang, Wei Wang, Xuewu Chen, Qian Chen, and Pengcheng ShangguanAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
Mass Rapid Transit (MRT) system's development has a far-reaching impact on configuring urban economic resources as well as optimizing land-use layout. Yet in traditional decision making process, mass impact factors might cause subjective-influence. In this paper, a Data Envelopment Analysis (DEA) method is proposed and three MRT decision modes (Subway, LRT, BRT) are designed. Integrative index are weighed and obtained from Analytic Hierarchy Process (AHP) method to avoid too much index annoying decision making. Relatively important coefficients are introduced to remedy the traditional DEA's deficiency that it totally depends on input and output index data and cannot reflect the importance of real index. Through the practical use in a city of Jiangsu Province, the Synthetic Evaluation Method of DEA/AHP is suitable and operable in dealing with MRT system's decision making process.
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© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Business management
- Data analysis
- Decision making
- Economic factors
- Engineering fundamentals
- Infrastructure
- Methodology (by type)
- Models (by type)
- Optimization models
- Practice and Profession
- Public transportation
- Rapid transit systems
- Research methods (by type)
- Transportation engineering
- Transportation management
- Urban and regional development
Authors
Affiliations
Min Yang
Jiangsu Provincial Key Laboratory of Transportation Planning and Management, Southeast University, Nanjing, 210096
Wei Wang
Jiangsu Provincial Key Laboratory of Transportation Planning and Management, Southeast University, Nanjing, 210096
Xuewu Chen
Jiangsu Provincial Key Laboratory of Transportation Planning and Management, Southeast University, Nanjing, 210096
Qian Chen
Jiangsu Provincial Key Laboratory of Transportation Planning and Management, Southeast University, Nanjing, 210096
Pengcheng Shangguan
Jiangsu Provincial Key Laboratory of Transportation Planning and Management, Southeast University, Nanjing, 210096
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