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多准则决策分析在农村空间可持续性评价中的应用：系统评价。

Application of Multi-Criteria Decision-Making Analysis to Rural Spatial Sustainability Evaluation: A Systematic Review.

机构信息

School of Architecture and Planning, Hunan University, Changsha 410082, China.

Hunan Key Laboratory of Sciences of Urban and Rural Human Settlements at Hilly Areas, Changsha 410082, China.

出版信息

Int J Environ Res Public Health. 2022 May 27;19(11):6572. doi: 10.3390/ijerph19116572.

DOI:10.3390/ijerph19116572
PMID:35682157
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9180611/
Abstract

The rational allocation of spatial resources is an important factor to ensure the sustainable development of rural areas, and effective pre-emptive spatial evaluation is the prerequisite for identifying the predicament of rural resource allocation. Multi-criteria decision-making analysis has advantages in solving multi-attribute and multi-objective decision-making problems, and has been used in sustainability evaluation research in various disciplines in recent years. Previous studies have proved the value of spatial evaluation using multi-criteria decision analysis in guiding rural incremental development and inventory updates, but systematic reviews of the previous literature from a multidisciplinary perspective and studies of the implementation steps of the evaluation framework are lacking. In the current paper, the research is reviewed from the two levels of quantitative statistics and research content, and through vertical and horizontal comparisons based on three common operating procedures: standard formulation, weight distribution, and ranking and verification. Through the results, the application status and characteristics of the MCDA method in related research are determined, and five research foci in the future are proposed.

摘要

空间资源的合理配置是保障农村地区可持续发展的重要因素，而有效的前置性空间评价是识别农村资源配置困境的前提。多准则决策分析在解决多属性和多目标决策问题方面具有优势，近年来已被应用于各学科的可持续性评价研究中。以往的研究证明了多准则决策分析在指导农村增量发展和存量更新方面的空间评价价值，但从多学科角度对以往文献进行系统评价以及对评价框架实施步骤的研究还很缺乏。在当前的论文中，研究从定量统计和研究内容两个层面进行综述，并通过基于三种常见操作程序（标准制定、权重分配和排名验证）的纵向和横向比较来进行。通过结果，确定了 MCDA 方法在相关研究中的应用现状和特点，并提出了未来的五个研究重点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/5d89eb3b08a6/ijerph-19-06572-g017.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/6f0924acb7c8/ijerph-19-06572-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/afd8d9959468/ijerph-19-06572-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/8469f5f4aede/ijerph-19-06572-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/523b067c3d0e/ijerph-19-06572-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/0e38b9496dc4/ijerph-19-06572-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/6984d4343be8/ijerph-19-06572-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/123e782b1c05/ijerph-19-06572-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/76c3271ff50a/ijerph-19-06572-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/951515ec7a02/ijerph-19-06572-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/5d89eb3b08a6/ijerph-19-06572-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/71ffd4f3fd81/ijerph-19-06572-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/49a09a331dc3/ijerph-19-06572-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/477f2a41a87e/ijerph-19-06572-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/ba9a750d00d4/ijerph-19-06572-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/634126440ab8/ijerph-19-06572-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/2f14fbd3259a/ijerph-19-06572-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/6f0924acb7c8/ijerph-19-06572-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/afd8d9959468/ijerph-19-06572-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/8469f5f4aede/ijerph-19-06572-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/523b067c3d0e/ijerph-19-06572-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/0e38b9496dc4/ijerph-19-06572-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/0721fa2fb022/ijerph-19-06572-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/6984d4343be8/ijerph-19-06572-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/123e782b1c05/ijerph-19-06572-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/76c3271ff50a/ijerph-19-06572-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/951515ec7a02/ijerph-19-06572-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d1/9180611/5d89eb3b08a6/ijerph-19-06572-g017.jpg

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