School of Management, Northwestern Polytechnical University, Xi'an 710100, China.
Faculty of Business Administration, Memorial University of Newfoundland, St. John's, NL A1B 3X9, Canada.
Int J Environ Res Public Health. 2019 Mar 22;16(6):1039. doi: 10.3390/ijerph16061039.
Based on the Graph Model of Conflict Resolution (GMCR), a two-stage decision framework is developed to reveal the essence of brownfield incidents and facilitate the resolution of brownfield conflicts caused by the incidents. More particularly, the forward GMCR is utilized in Stage I, the negotiation stage, to simulate the evolution of a Brownfield Conflict (BC) and predict its potential resolution via stability analysis. If no acceptable equilibrium can be obtained, the BC progresses into Stage II, the third-party-intervention stage, where the inverse GMCR is used to assist a third party in intervening the conflict to achieve a desirable outcome. To illustrate the practicality of this framework, a recent BC that occurred in Changzhou, China, is taken as a case study. Invaluable insights are provided through the computation and investigation of the corresponding preference relationships.
基于冲突解决的图模型（GMCR），开发了一个两阶段决策框架，以揭示棕地事件的本质，并促进由这些事件引起的棕地冲突的解决。更具体地说，正向 GMCR 用于第一阶段，即谈判阶段，通过稳定性分析来模拟棕地冲突（BC）的演变并预测其潜在的解决方案。如果无法获得可接受的均衡，BC 将进入第二阶段，即第三方干预阶段，在此阶段使用逆向 GMCR 协助第三方干预冲突以实现理想的结果。为了说明该框架的实用性，以中国常州最近发生的一起 BC 为例进行了案例研究。通过对相应偏好关系的计算和调查，提供了宝贵的见解。
