地球信息科学学报 ›› 2022, Vol. 24 ›› Issue (2): 280-298.doi: 10.12082/dqxxkx.2022.210051

• 地球信息技术在国土空间规划中的应用 • 上一篇    下一篇

基于改进熵权DEA-TOPSIS模型的乡村国土综合整治格局优化

任国平1,2,3(), 刘黎明3,*(), 李洪庆4, 季翔5, 尹罡1,2   

  1. 1.湖南城市学院管理学院,益阳 413000
    2.湖南省新型城镇化研究院,益阳 413000
    3.中国农业大学土地科学与技术学院,北京 100193
    4.河海大学公共管理学院,南京 211100
    5.福建农林大学资源与环境学院,福州 350002
  • 收稿日期:2021-01-29 修回日期:2021-04-11 出版日期:2022-02-25 发布日期:2022-04-25
  • 通讯作者: *刘黎明(1966— ),男,浙江上虞人,教授,博士生导师,主要从事区域可持续发展与保护研究。 E-mail: liulm@cau.edu.cn
  • 作者简介:任国平(1982— ),男,湖南益阳人,博士,副教授,主要从事土地利用和乡村规划研究。E-mail: renguoping82@163.com
  • 基金资助:
    国家自然科学基金项目(41471455);湖南省社会科学基金项目(20JD011);湖南省社科评审基金项目(XSP17YBZC021);湖南省社科评审基金项目(XSP20YBZ057);湖南省教育厅重点基金项目(19A086);湖南省高校青年骨干教师培养基金项目(2018018);数字化城乡空间规划关键技术湖南省重点实验室基金项目(2018TP1042)

Pattern Optimization for Integrated Rural Land Management with an Improved Entropy Weight DEA-TOPSIS Model

REN Guoping1,2,3(), LIU Liming3,*(), LI Hongqing4, JI Xiang5, YIN Gang1,2   

  1. 1. College of Management, Hunan City University, Yiyang 413000, China
    2. Hunan New-type Urbanization Insitute, Yiyang, 413000, China
    3. College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    4. School of Public Administration, Hohai University, Nanjing 211100, China
    5. College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
  • Received:2021-01-29 Revised:2021-04-11 Online:2022-02-25 Published:2022-04-25
  • Supported by:
    National Natural Science Foundation of China(41471455);Social Science Foundation of Hunan Province(20JD011);Social Science Review Foundation of Hunan Province(XSP17YBZC021);Social Science Review Foundation of Hunan Province(XSP20YBZ057);Humanities and Social Science Research Foundation of Hunan Education Department(19A086);Training of Young & Key Teachers in Higher Education Schools Foundation of Hunan Province(2018018);Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province(2018TP1042)

摘要:

针对国土综合整治时空格局优化的多目标量化问题,以空间脆弱性和时间迫切性为切入点,构建以目标功能为主线的乡村社会-生态系统脆弱性和迫切性评价指标体系,采用改进熵权DEA模型开展脆弱性效率评价和改进熵权多因素综合模型进行迫切性评价;在此基础上,采用层次目标分解法和主导问题归因法构建“业态兴旺、形态优化、生态宜居和综合复兴”4种国土综合整治多目标格局优化方案,采用改进熵权TOPSIS分析法开展多目标最优决策定量分析,以期从有限多目标系统优选和排序视角识别和划分国土综合整治多目标时空格局类型,实现对乡村国土综合整治多目标格局优化体系构建的目的。研究以上海市青浦区184个行政村为例进行实证,研究结果表明:改进熵权DEA模型能有效克服多行政村高度关联造成的结果偏大问题,提高了空间适宜性的应用精度;改进熵权TOPSIS模型能较为准确地划分国土综合整治的多目标格局优化方案,细化各最优方案间的异质性;2018年青浦区社会-生态系统脆弱性均值表现为社会子系统脆弱性(0.605)>经济子系统脆弱性(0.577)>生态子系统脆弱性(0.549),社会子系统脆弱成为影响该区脆弱性的重要原因;行政村社会-生态系统脆弱性空间上呈现由中部向南北递增变化趋势;而村域国土综合整治迫切性空间团聚状分异显著,其值域范围为[0.435, 0.785],农业产业整治迫切性最大;针对脆弱性-迫切性多目标构建的4种多目标方案决策评价结果,将该区国土综合整治时空格局优化类型划分为16种。该研究结果丰富了乡村地理学理论,可为乡村区域治理、乡村振兴和区域可持续发展提供决策依据。

关键词: 多目标评价, 社会-生态系统, 脆弱性, 迫切性, 国土综合整治, 格局优化, 乡村振兴, 青浦区

Abstract:

The essence of integrated territory consolidation is the process of readjusting the relationship between man and land. Under the background of rural revitalization strategy, integrated territory consolidation has been endowed with multiple functions and objectives. Pattern optimization, which contains the comprehensive process of timing arrangement, spatial organization, and goal coordination, is a way to achieve multi-objective integrated territory consolidation. This research analyzes the problem of multi-objective quantification for optimization of spatio-temporal patterns of multi-objective integrated territory consolidation. Using spatial vulnerability and timing urgency as the key points, the index system of social-ecosystem vulnerability and urgency evaluation in rural regions with target function as the main line was constructed. The EW-DEA model and improved multi-factor synthesis model of entropy weight were used to comprehensively evaluate vulnerability efficiency and urgency. Then, the hierarchical objective decomposition method and the attribution method of leading problems were used to construct four kinds of multi-objective pattern optimization of rural integrated territory consolidation. Four plans of prosperity of industrial plan, optimization of structure plan, ecological livability plan, and comprehensive rejuvenation plan, and quantitative analysis of multi-objective optimal decision were carried out using EW-TOPSIS analysis method. This research would achieve the goals of identifying and dividing the types of multi-objective pattern optimization of rural integrated territory consolidation from the perspective of limited multi-objective system selection and ranking, as well as to realize the purpose of constructing multi-objective pattern optimization system for rural integrated territory consolidation. This research took 184 administrative villages in Qingpu District of Shanghai City as examples and the following results were obtained. Firstly, EW-DEA model can effectively overcome the problem of high correlation between multiple administrative villages and improve the application accuracy of spatial suitability. EW-TOPSIS model can accurately divide the multi-objective pattern optimization scheme of rural integrated territory consolidation and refine the heterogeneity among the optimal schemes. Secondly, the mean value of social-ecosystem vulnerability of Qingpu District in the year of 2018 was shown as social subsystem vulnerability (0.605) > economic subsystem vulnerability (0.577)>ecosystem vulnerability (0.549). Vulnerability of social subsystems was an important reason for limiting vulnerability in the region. Thirdly, the vulnerability of social-ecosystem in administrative villages was increasing from central to north-south parts of the region, while the spatial agglomeration of the urgency of rural integrated territory consolidation was significant, with its threshold in [0.435, 0.785]. The urgency of agricultural industry was the maximum. Fourthly, according to the results of multi-objective decision-making evaluation of four multi-objective schemes based on vulnerability and urgency, pattern optimization types of rural integrated territory consolidation in Qingpu District can be divided into 16 types. The research results enrich the theory of rural geography and provide decision basis for rural regional governance, rural revitalization, and regional sustainable development.

Key words: multi-objective evaluation, social-ecosystem, vulnerability, urgency, rural integrated territory consolidation, pattern optimization, rural revitalization, Qingpu District