在基础设施投资项目中实施gis-ahp-owa土地适宜性评估:以墨西哥yucatÁn为例

Q4 Decision Sciences
Tatiana Merino-Benítez, Victor Hernández, Luis Antonio Bojórquez-Tapia
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引用次数: 0

摘要

本文提出了一种考虑多个利益相关者对立利益和观点的土地适宜性评价方法。LSA是一种广泛应用于基础设施投资选址的地理空间技术。本文描述的方法使用层次分析法(AHP)来得出一组地理属性的相对重要性权重,使用地理信息系统(GIS)上的值函数对空间单元中每个属性的状态进行评估,并实现有序加权平均(OWA)作为聚合算子。考虑到墨西哥Yucatán的环境冲突,该方法通过猪场投资的潜在地点来说明。这种方法为分析基础设施项目的土地适宜性和制定促进可持续发展的投资建议提供了一个系统和透明的程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IMPLEMENTATION OF GIS-AHP-OWA FOR LAND SUITABILITY ASSESSMENT IN INFRASTRUCTURE INVESTMENT PROJECTS: A CASE STUDY IN YUCATÁN, MEXICO
This article presents an approach to land suitability assessment (LSA) that accounts for the opposing interests and viewpoints of multiple stakeholders. LSA is a widely used geospatial technique for locating optimal sites for infrastructure investment. The approach described in this paper uses the Analytic Hierarchy Process (AHP) to elicit relative importance weights of a set of geographical attributes, the evaluation of the state of each attribute in spatial units using value functions on a geographic information system (GIS), and the implementation of the Ordered Weighted Average (OWA) as an aggregation operator. The approach is illustrated through the location of potential sites for swine plant investments, taking into consideration environmental conflicts in Yucatán, Mexico. This approach provides a systematic and transparent procedure for analyzing infrastructure projects’ land suitability and developing investment recommendations that promote sustainable development.
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来源期刊
International Journal of the Analytic Hierarchy Process
International Journal of the Analytic Hierarchy Process Decision Sciences-Decision Sciences (all)
CiteScore
2.30
自引率
0.00%
发文量
22
审稿时长
12 weeks
期刊介绍: IJAHP is a scholarly journal that publishes papers about research and applications of the Analytic Hierarchy Process(AHP) and Analytic Network Process(ANP), theories of measurement that can handle tangibles and intangibles; these methods are often applied in multicriteria decision making, prioritization, ranking and resource allocation, especially when groups of people are involved. The journal encourages research papers in both theory and applications. Empirical investigations, comparisons and exemplary real-world applications in diverse areas are particularly welcome.
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