Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart Cities

In this paper, we study the structural optimization of community governance in smart cities and optimize the structure based on the game analysis of dynamic planning evolution. Theoretically, the connotation and extension of the concept of “self-organization” are cleared, and the environment and con...

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Main Author: Gaofeng Liang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/5590315
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author Gaofeng Liang
author_facet Gaofeng Liang
author_sort Gaofeng Liang
collection DOAJ
description In this paper, we study the structural optimization of community governance in smart cities and optimize the structure based on the game analysis of dynamic planning evolution. Theoretically, the connotation and extension of the concept of “self-organization” are cleared, and the environment and conditions of community self-organization formation, the formation process of community self-organization, and the types of community self-organization are discussed. The so-called “self-organization” is a process of spontaneously moving from disorder to order, and the environment and conditions of community self-organization are mainly the openness, nonequilibrium state, and nonlinearity of the system. The key parameters of the contract with the change of the values of each factor make up for the inability to collect data for the empirical study in this paper; then, it presents four linear stages along with the cause such as self-creation, self-expansion, self-maintenance, and self-degeneration, respectively. The types of community self-organization mainly include community self-organization with random aggregation, socialized community self-organization, and stable community self-organization with autonomy orientation. By systematically sorting out the relationship between community self-organization and government, while confirming the positive significance of community self-organization to community cultural governance, various complex conflicts and game relationships will deeply affect the actual effectiveness of cultural governance and provide useful knowledge reference for future community cultural governance.
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spelling doaj-art-0829ff5e623241839b470e46cfd5698f2025-08-20T02:01:34ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/55903155590315Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart CitiesGaofeng Liang0Chongqing Jiaotong University, Chongqing 400074, ChinaIn this paper, we study the structural optimization of community governance in smart cities and optimize the structure based on the game analysis of dynamic planning evolution. Theoretically, the connotation and extension of the concept of “self-organization” are cleared, and the environment and conditions of community self-organization formation, the formation process of community self-organization, and the types of community self-organization are discussed. The so-called “self-organization” is a process of spontaneously moving from disorder to order, and the environment and conditions of community self-organization are mainly the openness, nonequilibrium state, and nonlinearity of the system. The key parameters of the contract with the change of the values of each factor make up for the inability to collect data for the empirical study in this paper; then, it presents four linear stages along with the cause such as self-creation, self-expansion, self-maintenance, and self-degeneration, respectively. The types of community self-organization mainly include community self-organization with random aggregation, socialized community self-organization, and stable community self-organization with autonomy orientation. By systematically sorting out the relationship between community self-organization and government, while confirming the positive significance of community self-organization to community cultural governance, various complex conflicts and game relationships will deeply affect the actual effectiveness of cultural governance and provide useful knowledge reference for future community cultural governance.http://dx.doi.org/10.1155/2021/5590315
spellingShingle Gaofeng Liang
Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart Cities
Complexity
title Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart Cities
title_full Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart Cities
title_fullStr Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart Cities
title_full_unstemmed Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart Cities
title_short Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart Cities
title_sort game analysis of dynamic planning evolution for the optimization of community governance structure in smart cities
url http://dx.doi.org/10.1155/2021/5590315
work_keys_str_mv AT gaofengliang gameanalysisofdynamicplanningevolutionfortheoptimizationofcommunitygovernancestructureinsmartcities