基于组合赋权法与可拓物元的海绵城市 PPP项目运作方式选择研究
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摘要
海绵城市建设作为推进我国新型城镇化建设的战略性举措,其与PPP模式的结合已引发社会各界的关注,海绵城市PPP项目运作方式的选择研究成为焦点问题,基于此,构建最优组合赋权法与可拓物元结合的海绵城市PPP项目运作方式选择模型。首先,确定海绵城市PPP项目运作方式选择指标体系;然后,引入G1主观赋权法与信息熵客观赋权法求解各指标最优权重,并运用可拓物元理论计算各PPP项目运作方式的关联度,以确定与项目最契合的运作方式;最后,通过实例验证该选择模型的适用性与科学性,能为海绵城市的建设发展提供一定帮助。
The construction of sponge city acts as a strategic move to promote China's new urbanization construction, and its combination with the PPP model has aroused attentionof all walks of life.Among them, the study on the selection of PPP project operation mode in sponge city has become a focus issue. Based on this, a model for the selection of PPP operation mode in sponge city is built combining the optimal combination weighting method and the extension matter elements.Firstly, the selection index system of the operation mode of the sponge city PPP project is determined by combining the characteristics of the sponge city and the PPP project operation mode, and then the G1 subjective weighting method and the information entropy objective weighting method are introduced to solve the optimal weight of each index. Moreover, thetheory of extension matter elements is used to calculate the relevance degree of each PPP project's operation mode, so as to determine the most suitable operation mode for the project. Finally, using an example verifies the applicability and scientificityof the selection model,which can provide some help for the construction and development of a sponge city.
The construction of sponge city acts as a strategic move to promote China's new urbanization construction, and its combination with the PPP model has aroused attentionof all walks of life.Among them, the study on the selection of PPP project operation mode in sponge city has become a focus issue. Based on this, a model for the selection of PPP operation mode in sponge city is built combining the optimal combination weighting method and the extension matter elements.Firstly, the selection index system of the operation mode of the sponge city PPP project is determined by combining the characteristics of the sponge city and the PPP project operation mode, and then the G1 subjective weighting method and the information entropy objective weighting method are introduced to solve the optimal weight of each index. Moreover, thetheory of extension matter elements is used to calculate the relevance degree of each PPP project's operation mode, so as to determine the most suitable operation mode for the project. Finally, using an example verifies the applicability and scientificityof the selection model,which can provide some help for the construction and development of a sponge city.
引文
[1]李莉,孙攸莉. 海绵城市建设PPP模式风险及管控研究[J].浙江工业大学学报(社会科学版),2017,16(2):183-189.
[2]耿潇,赵杨,车伍. 对海绵城市建设PPP模式的思考[J].城市发展研究,2017,24(1):1-5.
[3]邓翊. 海绵城市项目融资模式研究[D].南宁:广西大学,2016.
[4]吴丹洁,詹圣泽,李友华,等. 中国特色海绵城市的新兴趋势与实践研究[J].城镇化与区域发展,2016(1):79-97.
[5]黄丽娟,张鹏,雷书华. 基于灰色理论的海绵城市PPP项目评估分析[J].公共管理,2017(6):150-152.
[6]笪可宁,纪莹,张仕祺. 海绵城市建设的PPP融资模式应用对策研究[J].沈阳建筑大学学报(社会科学版),2016,18(4):364-369.
[7]BUDGE T. Sponge cities and small towns: a new economic partnership[M]/ / ROGERS M F,JONES D R. The changing nature of Australia ’s country towns. Ballarat: Victorian Universities Regional Research Network Press,2006.
[8]BUNSTER-OSSA I F. Sponge city [M]/ /PICKETTSTA,CADENASSOML,MCGRATH B. Resilience in ecology and urban design: linking theory and practice for sustainable cities. New York: Springer,2013:301-306.
[9]DAMODARAM C,GIACOMONI M H, PRAKASH K C,et al. Simulation of combined best management practices and low impact development for sustainable stormwater management[J].JAWRA Journal of the American Water Resources Association, 2010, 46(5):907-918.
[10]崔广柏,张其成,湛忠宇,等. 海绵城市建设研究进展与若干问题探讨[J].水资源保护,2016,32(2):1-4.
[11]俞孔坚,李迪华,袁弘,等. “海绵城市”理论与实践[J].城市规划,2015,39(6):26-36.
[12]杨阳,林广思. 海绵城市概念与思想[J].南方建筑,2015(3):59-64.
[13]王颖林,刘继才.PPP模式应用于新城镇化建设中的担保机制研究[J].环境与社会,2017(1):66-69.
[14]王宁,吴连丰. 厦门海绵城市建设方案编制实践与思考[J].给水排水,2015(6):28-32.
[15]李公祥,尹贻林. 城市基础设施项目PPP模式的运作方式选择研究[J].北京理工大学学报(社会科学版),2011,13(1):50-58.
[16]袁瑜,叶臻,梁科科,等. 交通基础设施项目PPP模式比选方法研究[J].交通运输研究,2017,3(1):8-16.
[17]李政宇. 城市轨道交通PPP项目融资模式选择及其资本结构设计研究[D].北京:北京交通大学,2017.
[18]严玲,崔健.城市轨道交通PPP模式交易方式选择的多案例研究[J].科技进步与对策,2011,28(13):110-115.
[19]张彦春,王孟钧,翟松,等.PPP项目运作方式选择研究[J].建筑经济,2017,38(1):32-36.
[20]李俊奇,王文亮.基于多目标的城市雨水系统构建与展望[J].给水排水,2015(4):1-3.
[21]SHANNON C. A mathematical theory of communication [J].Bell System Technical Journal, 1948, 27(2):623-656.
[2]耿潇,赵杨,车伍. 对海绵城市建设PPP模式的思考[J].城市发展研究,2017,24(1):1-5.
[3]邓翊. 海绵城市项目融资模式研究[D].南宁:广西大学,2016.
[4]吴丹洁,詹圣泽,李友华,等. 中国特色海绵城市的新兴趋势与实践研究[J].城镇化与区域发展,2016(1):79-97.
[5]黄丽娟,张鹏,雷书华. 基于灰色理论的海绵城市PPP项目评估分析[J].公共管理,2017(6):150-152.
[6]笪可宁,纪莹,张仕祺. 海绵城市建设的PPP融资模式应用对策研究[J].沈阳建筑大学学报(社会科学版),2016,18(4):364-369.
[7]BUDGE T. Sponge cities and small towns: a new economic partnership[M]/ / ROGERS M F,JONES D R. The changing nature of Australia ’s country towns. Ballarat: Victorian Universities Regional Research Network Press,2006.
[8]BUNSTER-OSSA I F. Sponge city [M]/ /PICKETTSTA,CADENASSOML,MCGRATH B. Resilience in ecology and urban design: linking theory and practice for sustainable cities. New York: Springer,2013:301-306.
[9]DAMODARAM C,GIACOMONI M H, PRAKASH K C,et al. Simulation of combined best management practices and low impact development for sustainable stormwater management[J].JAWRA Journal of the American Water Resources Association, 2010, 46(5):907-918.
[10]崔广柏,张其成,湛忠宇,等. 海绵城市建设研究进展与若干问题探讨[J].水资源保护,2016,32(2):1-4.
[11]俞孔坚,李迪华,袁弘,等. “海绵城市”理论与实践[J].城市规划,2015,39(6):26-36.
[12]杨阳,林广思. 海绵城市概念与思想[J].南方建筑,2015(3):59-64.
[13]王颖林,刘继才.PPP模式应用于新城镇化建设中的担保机制研究[J].环境与社会,2017(1):66-69.
[14]王宁,吴连丰. 厦门海绵城市建设方案编制实践与思考[J].给水排水,2015(6):28-32.
[15]李公祥,尹贻林. 城市基础设施项目PPP模式的运作方式选择研究[J].北京理工大学学报(社会科学版),2011,13(1):50-58.
[16]袁瑜,叶臻,梁科科,等. 交通基础设施项目PPP模式比选方法研究[J].交通运输研究,2017,3(1):8-16.
[17]李政宇. 城市轨道交通PPP项目融资模式选择及其资本结构设计研究[D].北京:北京交通大学,2017.
[18]严玲,崔健.城市轨道交通PPP模式交易方式选择的多案例研究[J].科技进步与对策,2011,28(13):110-115.
[19]张彦春,王孟钧,翟松,等.PPP项目运作方式选择研究[J].建筑经济,2017,38(1):32-36.
[20]李俊奇,王文亮.基于多目标的城市雨水系统构建与展望[J].给水排水,2015(4):1-3.
[21]SHANNON C. A mathematical theory of communication [J].Bell System Technical Journal, 1948, 27(2):623-656.