Quantitative sustainability assessment of freeports: Hybrid model evidence from the UK

IF 9.7 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Xinrui Liang , Shiqi Fan , John Lucy , Jihong Chen , Jonathan Coleman , Yan Li , Zhuohua Qu , Huanhuan Li , Zaili Yang
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引用次数: 0

Abstract

Freeports and their equivalents are designed to boost national economic prosperity, yet their associated sustainability concerns are often overlooked. Existing research on freeport performance evaluation is largely fragmented, with a predominant focus on economic metrics specific to individual cases. Moreover, the existing methods for sustainability assessments face inherent limitations in addressing uncertainty and integrating indicators within both hierarchical and interconnected network structures. To address these research gaps, this study introduces a novel methodology for holistically assessing freeport sustainability using a hybrid Bayesian Network and Evidential Reasoning (BNER) model. This model can process both qualitative and quantitative performance data, and integrate different Key Performance Indicators (KPIs) to generate a comprehensive index. The new contributions of this paper include: (1) It proposes a novel framework for evaluating freeport sustainability across economic, environmental, and social dimensions and synthesising them into a singular index. (2) It prioritises all relevant KPIs from multiple stakeholder perspectives. The findings indicate that information technology and customs clearance efficiency are the most significant among the 42 identified KPIs. (3) A new BNER model is introduced to address data uncertainty and interdependent factors in performance assessment. (4) The applicability of the developed model is demonstrated through a real-world case study of a UK freeport, providing valuable practical insights.
自由港的定量可持续性评估:来自英国的混合模型证据
自由港及其同类设施旨在促进国家经济繁荣,但与之相关的可持续发展问题却往往被忽视。现有关于自由港绩效的研究大多支离破碎,主要集中在针对个别情况的经济指标上。为了弥补这一研究空白,本研究采用贝叶斯网络和证据推理(BNER)混合模型,引入了一种全面评估自由港可持续性的新方法。该模型可处理定性和定量绩效数据,并整合不同的关键绩效指标 (KPI) 以生成综合指数。本文的新贡献包括(1) 它提出了一个新颖的框架,用于评估自由港在经济、环境和社会方面的可持续性,并将其综合为一个单一的指数。(2) 本文从多个利益相关者的角度出发,对所有相关的关键绩效指标进行了优先排序。(3) 引入了一个新的 BNER 模型,以解决绩效评估中的数据不确定性和相互依存因素。(4) 通过对英国自由港的实际案例研究,展示了所开发模型的适用性,并提供了宝贵的实践见解。
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来源期刊
Journal of Cleaner Production
Journal of Cleaner Production 环境科学-工程:环境
CiteScore
20.40
自引率
9.00%
发文量
4720
审稿时长
111 days
期刊介绍: The Journal of Cleaner Production is an international, transdisciplinary journal that addresses and discusses theoretical and practical Cleaner Production, Environmental, and Sustainability issues. It aims to help societies become more sustainable by focusing on the concept of 'Cleaner Production', which aims at preventing waste production and increasing efficiencies in energy, water, resources, and human capital use. The journal serves as a platform for corporations, governments, education institutions, regions, and societies to engage in discussions and research related to Cleaner Production, environmental, and sustainability practices.
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