Abstract
With the increasing urbanization rate in our country, the occurrence of "not in my back yard" (NIMBY) conflict has become intensified, so it is particularly important to analyze the causes of these conflicts.Therefore, to explore the effects of the risk evolution of NIMBY projects on NIMBY conflicts, we have generalized and identified 13 cues (decision reference variables) by summarizing the existing research results. Further, to realize prediction about the influencing factors whereby NIMBY risk evolves into NIMBY conflict, we then constructed a single system design lens model of NIMBY conflict evolution and prediction. Based on the simulation analysis of 75 collected pieces of valid SJT questionnaire data collected by Policy EXC software, through integration and analysis we obtained the following three predictability cues: government departments closing and not sharing NIMBY information, degree of environmental pollution, and impaired quality of life.
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