DocumentCode :
127465
Title :
Modeling and simulation of extreme floods emergency management between hierarchical governments using evolutionary game
Author :
Chen Rong ; Wang Hui-min ; Chu Yu
Author_Institution :
State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing, China
fYear :
2014
fDate :
17-19 Aug. 2014
Firstpage :
2053
Lastpage :
2060
Abstract :
A relatively perfect organizational system of extreme floods emergency management has been established in China. However, no-timely response and procrastination still exist in practical actions of grassroots organizations. In this paper, evolutionary game (EG) theory is applied to extreme floods emergency management, and to analyze replicator dynamics and its evolutionary stable strategy (ESS) between different level hierarchical governments. Evolution results are simulated by system dynamics (SD). Some conclusions are inferred that: (1) the evolutionary game between a higher-level government and a lower-level government has no ESS; (2) the evolution results of EG between a higher-level government and a lower-level government show a trend of cycle. In order to break the cycle, the higher-level government has to strengthen supervision to the lower-level government.
Keywords :
emergency management; evolutionary computation; floods; game theory; government; organisational aspects; China; EG theory; ESS; evolutionary game theory; evolutionary stable strategy; extreme flood emergency management modeling; extreme flood emergency management simulation; grassroots organizations; hierarchical governments; higher-level government; lower-level government; organizational system; replicator dynamics; system dynamics; Emergency services; Floods; Games; Jacobian matrices; Local government; emergency management; evolutionary game; extreme floods; hierarchical government; system dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science & Engineering (ICMSE), 2014 International Conference on
Conference_Location :
Helsinki
Print_ISBN :
978-1-4799-5375-2
Type :
conf
DOI :
10.1109/ICMSE.2014.6930488
Filename :
6930488
Link To Document :
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