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Article

An Emergency Decision-Making Method for Urban Rainstorm Water-Logging: A China Study

1
Institute of Engineering Management, Hohai University, Nanjing 211100, China
2
Jiangsu Provincial Collaborative Innovation Center of World Water Valley and Water Ecological Civilization, Nanjing 211100, China
3
Water Affairs Bureau of Guangzhou Municipality, Guangzhou 510000, China
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(10), 3453; https://doi.org/10.3390/su10103453
Received: 19 August 2018 / Revised: 26 September 2018 / Accepted: 26 September 2018 / Published: 27 September 2018
(This article belongs to the Special Issue Conflict Analysis and Sustainable Management of Water Resources)
With the rapid development of the urbanization process, rainstorm water-logging events occur more frequently in big cities in China, which causes great impact on urban traffic safety and brings about severe economic losses. Water-logging has become a hot issue of widespread concern in China. As one kind of natural disasters and emergencies, rainstorm water-logging has the uncertainties of occurrence, development, and evolution. Thus, the emergency decision-making in rainstorm water-logging should be carried out in stages according to its development trend, which is very complicated. In this paper, an emergency decision-making method was proposed for urban water-logging with a hybrid use of dynamic network game technology, Bayesian analysis, and multi-attribute utility theory. The dynamic game process between “rainstorm water-logging” and “decision-making group” was established and the dynamic generation of emergency schemes was analyzed based on Bayesian analysis in various stages of water-logging. In terms of decision-making attributes, this paper mainly considered two goals, i.e., ensuring smooth traffic and controlling emergency cost. The multi-attribute utility theory was used to select the final scheme. An example analysis in Guangzhou of China showed that the method is more targeted and can achieve emergency management objectives more effectively when compared with traditional methods. Therefore, it can provide reference for the scientific decision-making of emergency management in urban rainstorm water-logging. View Full-Text
Keywords: rainstorm water-logging; emergency decision-making; dynamic network game technology; Bayesian analysis; multi-attribute utility theory rainstorm water-logging; emergency decision-making; dynamic network game technology; Bayesian analysis; multi-attribute utility theory
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MDPI and ACS Style

Ding, J.; Cai, J.; Guo, G.; Chen, C. An Emergency Decision-Making Method for Urban Rainstorm Water-Logging: A China Study. Sustainability 2018, 10, 3453. https://doi.org/10.3390/su10103453

AMA Style

Ding J, Cai J, Guo G, Chen C. An Emergency Decision-Making Method for Urban Rainstorm Water-Logging: A China Study. Sustainability. 2018; 10(10):3453. https://doi.org/10.3390/su10103453

Chicago/Turabian Style

Ding, Jiyong, Juefang Cai, Guangxiang Guo, and Chen Chen. 2018. "An Emergency Decision-Making Method for Urban Rainstorm Water-Logging: A China Study" Sustainability 10, no. 10: 3453. https://doi.org/10.3390/su10103453

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