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An Integrated Fuzzy AHP and Fuzzy TOPSIS Approach to Assess Sustainable Urban Development in an Emerging Economy

机译:评估新兴经济中城市可持续发展的模糊AHP和Fuzzy TOPSIS集成方法

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摘要

Sustainable urban development (SUD) requires a balance between economic growth, social well-being, and environmental protection. Oftentimes, urban policy makers can hardly fulfill all SUD goals due to inadequacy of resources to support SUD programs. Therefore, the process of allocating scarce resources to achieve and balance various SUD goals becomes a critical challenge for policy makers and researchers. To solve this problem, this study adopts fuzzy Analytic Hierarchy Process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Situation (TOPSIS) to assess and rank different indicators of SUD and evaluate different cities in an emerging economy (Vietnam). Fuzzy methods exhibit more advantages than traditional ranking methods. Fuzzy AHP is an extension of AHP, whereas fuzzy TOPSIS is an extension of TOPSIS. Fuzzy methods are used to overcome disadvantages of traditional methods and are beneficial techniques for solving complicated decision problems with a realistic solution. Using a valid sample data of ten experts in the field of SUD, empirical results show that education, healthcare, quality of life, and social democracy are the most important indicators of SUD. By contrast, social diversity, social maturity, and energy consumption are the least important indicators of SUD. For social sustainability, social democracy and quality of life are the two most important criteria, whereas social maturity and social diversity are the two least important criteria. For economic sustainability, education and healthcare are the two most important criteria, whereas infrastructure and income are the two least important criteria. For environmental sustainability, water quality and waste disposal are the two most important criteria, whereas energy consumption and ecological conservation are the two least important criteria. Furthermore, fuzzy TOPSIS results reveal the best and the worst cities in Vietnam with regard to overall SUD and its three components. This study provides evidence for researchers and policy makers to better understand the importance of different goals of SUD and efficiently allocate scarce resources to achieve and balance different SUD goals. Furthermore, researchers and policy makers should further focus on indicators such as social democracy, quality of life, education, healthcare, water quality, and waste disposal. These indicators will help obtain the goals of SUD.
机译:城市可持续发展(SUD)要求在经济增长,社会福祉和环境保护之间取得平衡。通常,由于缺乏支持SUD计划的资源,城市决策者几乎无法实现所有SUD目标。因此,分配稀缺资源以实现和平衡各种SUD目标的过程成为决策者和研究人员的关键挑战。为了解决这个问题,本研究采用模糊分析层次过程(AHP)和基于与理想情况相似性的订单偏好模糊技术(TOPSIS)来评估和排名SUD的不同指标,并对新兴经济体(越南)的不同城市进行评估。模糊方法比传统排序方法具有更多优势。 Fuzzy AHP是AHP的扩展,而Fuzzy TOPSIS是TOPSIS的扩展。模糊方法用于克服传统方法的缺点,并且是用实际解决方案解决复杂决策问题的有益技术。通过使用SUD领域十位专家的有效样本数据,经验结果表明,教育,医疗保健,生活质量和社会民主是SUD的最重要指标。相比之下,社会多样性,社会成熟度和能源消耗是SUD最不重要的指标。对于社会可持续性,社会民主和生活质量是两个最重要的标准,而社会成熟度和社会多样性是两个最不重要的标准。对于经济可持续性而言,教育和医疗保健是两个最重要的标准,而基础设施和收入是两个最不重要的标准。对于环境可持续性而言,水质和废物处置是两个最重要的标准,而能源消耗和生态保护是两个最不重要的标准。此外,模糊的TOPSIS结果显示,就整体SUD及其三个组成部分而言,越南最好和最差的城市。这项研究为研究人员和决策者更好地理解SUD不同目标的重要性并有效分配稀缺资源以实现和平衡SUD不同目标提供了证据。此外,研究人员和政策制定者应进一步关注社会民主,生活质量,教育,医疗保健,水质和废物处置等指标。这些指标将有助于实现SUD的目标。

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