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探究影响废物邻避危机情景演变的因素:中国典型案例分析。

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

机构信息

School of Management, Wuhan University of Technology, Wuhan 430070, China.

School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China.

出版信息

Int J Environ Res Public Health. 2021 Feb 19;18(4):2006. doi: 10.3390/ijerph18042006.

Abstract

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.

摘要

由于废物“邻避”(NIMBY)危机的影响因素复杂,情景演化路径多样。一旦危机处理不当,将对废物 NIMBY 设施建设、经济发展和社会稳定带来不利影响。因此,本文基于 grounded theory,以 2006 年至 2019 年中国的废物 NIMBY 危机为典型案例,通过编码分析,构建了废物 NIMBY 危机情景演化因素,进一步得到了外部情境(E)、情境状态(S)和应急管理(M)三个关键情景,并揭示了废物 NIMBY 危机的情景演化规律。然后,利用动态贝叶斯网络理论构建了废物 NIMBY 危机的动态情景演化网络。最后,基于以上模型,以仙桃废物 NIMBY 危机为例,利用 Netica 直观地展示了情景演化网络的动态过程。模拟结果表明,仙桃废物 NIMBY 危机的情景演化网络与实际事件发展过程基本一致,验证了模型的有效性和可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5787/7922245/d73436b1cff8/ijerph-18-02006-g001.jpg

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