使用多标准最佳-最差方法优先考虑土地整合项目:来自波兰的案例研究
Ela Ertunç1, Jarosław Janus2, Mevlut Uyan3
1Department of Geomatics Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, Konya, Turkey. eertunc@ktun.edu.tr.
Environmental monitoring and assessment
|August 17, 2023
概括
这项研究引入了优先考虑土地整合 (LC) 项目的新模式. 使用最佳-最差方法 (BWM),它帮助当局透明地确定和资助农村发展和农业生产率最关键的领域.
科学领域:
- 农业科学 农业科学
- 环境规划 环境规划
- 农村发展 农村发展
背景情况:
- 平衡生态需求,环境保护和农业生产率对于农村振兴至关重要.
- 土地整合 (LC) 项目需要大量投资,因此确定优先区域对于成功至关重要.
- 目前对于LC项目的决策过程可能是主观的,缺乏标准化,透明的方法.
研究的目的:
- 开发和提出一个新的,客观的模型来优先考虑土地整合项目.
- 为国家和地方当局提供一个透明的框架,以确定LC实施的优先领域.
- 促进有效的资源管理和为土地整合倡议提供公平的财政拨款.
主要方法:
- 该研究采用了最佳-最差方法 (BWM),一种多标准决策 (MCDM) 方法.
- 根据波兰马洛波尔斯卡地区75个村庄的参数确定了一套标准.
- 开发的模型被用来优先考虑土地整合项目的村庄.
主要成果:
- 成功开发了一种用于确定土地整合项目的优先领域的新模型.
- 该模型提供了一种透明和系统的方法,根据预定义的标准对村庄进行排名.
- 确定优先级的过程有助于更有效地分配资源和公平地分配财政援助.
结论:
- 拟议的基于BWM的模型提供了一个透明和有效的工具,用于优先考虑土地整合项目.
- 这种模式的实施可以通过确保投资集中在最关键的领域来改善农村发展结果.
- 该方法支持管理土地整合和农村振兴工作的当局的知情决策.
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