DocumentCode
2766322
Title
Research on self-organization evolution for public crisis governance network of urban agglomeration
Author
Yu Liying ; Wang Ying
Author_Institution
Sch. of Manage., Shanghai Univ., Shanghai, China
fYear
2012
fDate
2-4 July 2012
Firstpage
162
Lastpage
166
Abstract
Public crisis management network of urban agglomeration is composed by public crisis governance subsystems from various cities, and it is a complex system of dissipative structures, meeting the conditions of openness, non-equilibrium, nonlinearity, fluctuation. This paper firstly analyzes the conditions and driving force of self-organization evolution of urban agglomeration public crisis governance network, and then introduces the Cui-Lawson model which is improved by Cui Qiwu and Lawson based on the Logistic model. Combining with the characteristics of the public crisis governance network, and taking information exchange and sharing into consideration, an improved model is constructed according to the Cui-Lawson model. In view of this improved model, Matlab program is used to simulate and analyze the influencing factors of self-organized evolution of the urban agglomeration public crisis governance network. Finally, some suggestions are made to perfect governance network of public crisis in urban agglomeration based on simulation results.
Keywords
mathematics computing; organisational aspects; public administration; Cui-Lawson model; Matlab program; complex system; dissipative structures; logistic model; public crisis governance network; public crisis management network; self-organization evolution; urban agglomeration; Analytical models; Cities and towns; Correlation; Crisis management; Educational institutions; MATLAB; Mathematical model; dissipative structure; model; public crisis governance network; self-organization; urban agglomeration;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Systems and Service Management (ICSSSM), 2012 9th International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4577-2024-6
Type
conf
DOI
10.1109/ICSSSM.2012.6252213
Filename
6252213
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