Exploring Factors Influencing Scenarios Evolution of Waste NIMBY Crisis: Analysis of Typical Cases in China

被引:15
|
作者
He, Ling [1 ]
Yang, Qing [1 ,2 ]
Liu, Xingxing [2 ]
Fu, Lingmei [1 ]
Wang, Jinmei [1 ]
机构
[1] Wuhan Univ Technol, Sch Management, Wuhan 430070, Peoples R China
[2] Wuhan Univ Technol, Sch Safety Sci & Emergency Management, Wuhan 430070, Peoples R China
基金
中国国家社会科学基金;
关键词
waste NIMBY crisis; ground theory; dynamic Bayesian network; scenario evolution; probability analysis; node variables;
D O I
10.3390/ijerph18042006
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the impact factors of the waste Not-In-My-Back Yard (NIMBY) crisis are complex, and the scenario evolution path of it is diverse. Once the crisis is not handled properly, it will bring adverse effects on the construction of waste NIMBY facilities, economic development and social stability. Consequently, based on ground theory, this paper takes the waste NIMBY crisis in China from 2006 to 2019 as typical cases, through coding analysis, scenario evolution factors of waste NIMBY crisis are established. Furtherly, three key scenarios were obtained, namely, external situation (E), situation state (S), emergency management (M), what is more, scenario evolution law of waste NIMBY crisis is revealed. Then, the dynamic Bayesian network theory is used to construct the dynamic scenario evolution network of waste NIMBY crisis. Finally, based on the above models, Xiantao waste NIMBY crisis is taken as a case study, and the dynamic process of scenario evolution network is visually displayed by using Netica. The simulation results show that the scenario evolution network of Xiantao waste NIMBY crisis is basically consistent with the actual incident development process, which confirms the effectiveness and feasibility of the model.
引用
收藏
页码:1 / 16
页数:16
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