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Evaluation Method for Highway Network's Resistant Ability Against Natural Disasters and the Conclusion Analysis
- Source :
- Procedia - Social and Behavioral Sciences. :156-167
- Publisher :
- The Authors. Published by Elsevier Ltd.
-
Abstract
- To effectively deal with the frequent natural disasters and make good decisions, a clear and scientific understanding of the highway network's resistant ability against disasters should be worked out. This paper aims to propose a set of comprehensive evaluation methods for this ability and its conclusion analysis. Using the Analytic Hierarchy Process, a comprehensive evaluation index system is established. Subsequently, based on the fuzzy mathematics, the fuzzy comprehensive evaluation model is established, and the specific steps of the fuzzy comprehensive evaluation are executed. Furthermore, according to the short plate theory, this paper adopts retrospective analysis to discuss the evaluation conclusion. Finally, in order to verify the feasibility and practicability, this paper takes Hangzhou national and provincial trunk highway network as a case study. The results show that the comprehensive score of this network is 83.429 which belongs to the “General” level. Through the conclusion analysis, this paper identifies the weaknesses of Hangzhou national and provincial trunk highway network against natural disasters. Limitations of the proposed method are also discussed in this paper.
- Subjects :
- Engineering
Operations research
business.industry
Analytic hierarchy process
Analytic Hierarchy Process (AHP)
Fuzzy logic
retrospective analysis
Set (abstract data type)
Highway network
Order (exchange)
Evaluation methods
Fuzzy mathematics
fuzzy comprehensive evaluation
Retrospective analysis
General Materials Science
Natural disaster
business
resistant ability against natural disasters
Subjects
Details
- Language :
- English
- ISSN :
- 18770428
- Database :
- OpenAIRE
- Journal :
- Procedia - Social and Behavioral Sciences
- Accession number :
- edsair.doi.dedup.....69db8bb7f730a1109848408826c7a855
- Full Text :
- https://doi.org/10.1016/j.sbspro.2013.08.021