基于模糊层次分析法的港口环境绩效评价方法研究

Q3 Medicine
Alijan Ali Akbari, Farzam Babaei Samiromi, R. Arjmandi, M. Shojaei
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引用次数: 0

摘要

背景:作为海上运输系统的两个主要部分之一,港口的环境绩效评估是非常重要的。本研究旨在建立一种基于模糊层次分析法的港口环境绩效评价方法。方法:本研究于2020年进行,共有22名环境与海洋科学领域的专家参与。研究步骤包括文献综述、环境绩效评价问卷设计、德尔菲法问卷设计以及基于模糊层次分析法的港口环境绩效评价方法。结果:基于模糊层次分析法的结果,对反应性绩效、主动绩效、可持续性、社会文化、经济和治理6个环境绩效因素的最终归一化权重分别为0.202、0.241、0.226、0.070、0.080和0.182。此外,研究发现,影响环境绩效的各因素中各参数的权重和影响程度不同。本研究中对环境绩效指标影响最大和最低的分别属于环境风险评价参数,权重为0.217(主动绩效因子)和文化与公平效应,权重为0.107(社会文化因子)。结论:采用模糊层次分析法,建立了一种基于6个因素32个参数的港口环境绩效评价方法。因此,使用这种方法可以成为提高港口环境绩效水平,实现“绿色港口”目标的实际步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a method for evaluating the environmental performance of ports based on the fuzzy analytic hierarchy process (FAHP)
Background: Evaluating ports' environmental performance as one of the two main parts of the maritime transport system is of great importance. This study was designed and conducted to develop a method for evaluating ports' environmental performance based on the fuzzy analytical hierarchical process. Method: The present study was conducted in 2020 with the participation of 22 experts in the field of environment and marine sciences. The study steps included a comprehensive review of the literature, design of an environmental performance evaluation questionnaire, development of a questionnaire in a Delphi study, and a method for evaluating environmental performance in ports based on a fuzzy hierarchical analysis process. Results: Based on the results of the fuzzy analytical hierarchical process, the final normalized weight for six factors of environmental performance, including reactive performance, active performance, sustainability, socio-cultural, economic, and governance, were estimated to be 0.202, 0.241, 0.226, 0.070, 0.080 and 0.182 respectively. Besides, it was found that each of the parameters in the factors affecting the environmental performance has a different weight and impact. The highest and lowest effects on the environmental performance index in this study belonged to the environmental risk assessment parameters with a weight of 0.217 (active performance factor) and cultural and justice effects with a weight of 0.107 (socio-cultural factor). Conclusion: In this study, a novel method for evaluating ports' environmental performance has been developed based on 6 factors and 32 parameters, and the fuzzy analytical hierarchy process approach. Therefore, using this method can be a practical step towards improving the level of environmental performance in ports to achieve the goal of "green port."
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