系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2014年
3期
810~816
,共null页
大气污染 泡泡政策 合作博弈 Shapley值分配法
大氣汙染 泡泡政策 閤作博弈 Shapley值分配法
대기오염 포포정책 합작박혁 Shapley치분배법
air pollution; bubble policy; cooperative game; Shapley value allocation method
首先,结合目前京津冀区域大气污染的实际情况,提出了通过省际合作达到大气污染治理的3个基本假设.其次,通过构建区域优化模型和Shapley值合作收益分配方案,建立了京津冀大气污染治理省际合作博弈模型.通过求解区域优化模型得到各省份最优去除量和去除成本,进而利用Shapley值法获得相对公平的合作收益分配方案.最后,以2009年京津冀各省份SO2去除为例进行了实证分析,结果显示了京津冀省际合作博弈模型的有效性和实用性,而且模型最优化模拟结果可作为区域决策的重要参考,促使各省份合作共赢.
首先,結閤目前京津冀區域大氣汙染的實際情況,提齣瞭通過省際閤作達到大氣汙染治理的3箇基本假設.其次,通過構建區域優化模型和Shapley值閤作收益分配方案,建立瞭京津冀大氣汙染治理省際閤作博弈模型.通過求解區域優化模型得到各省份最優去除量和去除成本,進而利用Shapley值法穫得相對公平的閤作收益分配方案.最後,以2009年京津冀各省份SO2去除為例進行瞭實證分析,結果顯示瞭京津冀省際閤作博弈模型的有效性和實用性,而且模型最優化模擬結果可作為區域決策的重要參攷,促使各省份閤作共贏.
수선,결합목전경진기구역대기오염적실제정황,제출료통과성제합작체도대기오염치리적3개기본가설.기차,통과구건구역우화모형화Shapley치합작수익분배방안,건립료경진기대기오염치리성제합작박혁모형.통과구해구역우화모형득도각성빈최우거제량화거제성본,진이이용Shapley치법획득상대공평적합작수익분배방안.최후,이2009년경진기각성빈SO2거제위례진행료실증분석,결과현시료경진기성제합작박혁모형적유효성화실용성,이차모형최우화모의결과가작위구역결책적중요삼고,촉사각성빈합작공영.
Firstly, based on the status quo of air pollution in Beijing, Tianjin and Hebei province, the paper summarized three basic assumptions on inter-provincial cooperative air pollution control. Secondly, the paper constructed inter-provincial cooperative air pollution control game model which included the regional optimization model and the Shapley value allocation method. By solving the regional optimization model, the paper obtained the optimal reduction and reduction cost for each province. Then applying the Shapley value allocation method, the paper achieved the relatively fair distribution of the cooperation benefit among Beijing, Tianjin and Hebei province. Finally, the paper used the SO2 reduction of Beijing, Tianjin and Hebei province in 2009 as an example to carry out the empirical analysis. The results demonstrated the effectiveness and practicability of the model, and optimized simulation results of the model can be used as a reference for regional decision-making, such a win-win model will enhance regional cooperation in air pollution control.