关注气候相关危害的综合港口恢复指数:来自希腊港口生活实验室的结果

IF 3.9 Q2 TRANSPORTATION
Amalia Polydoropoulou , Adonis Velegrakis , Georgios Papaioannou , Ioannis Karakikes , Efstathios Bouhouras , Helen Thanopoulou , Dimitrios Chatzistratis , Isavela Monioudi , Konstantinos Moschopoulos , Antonis Chatzipavlis
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摘要

本文开发了一个综合港口恢复指数(PRI),以解决希腊港口在气候相关危害方面的具体脆弱性和运营挑战。基于Living Labs在三个关键港口(希俄斯、沃罗斯和伊拉克利翁)的利益相关者参与,该研究使用结构化的多标准决策分析(MCDA)框架确定并量化了气候相关危害的影响。具体来说,层次分析法(AHP)用于在五个影响领域中得出专家判断并优先考虑弹性标准:基础设施、运营和供应链、数字、社会经济和环境以及治理和合规弹性。对19项指标进行评估,涵盖物理基础设施、运营可靠性、数字化准备和社会经济因素,以构建复合PRI,实现透明和利益相关者知情的基准流程。结果显示,各港口的适应能力水平存在显著差异,Volos的PRI最高(0.643),Chios最低(0.217),从而突出了港口的适应需求。通过敏感性分析,我们验证了PRI构建方法在各种加权方案中的稳健性。本研究的主要贡献是:(i)建立了一个可复制的、数据驱动的PRI模型;(ii)通过Living Labs整合当地利益相关者的意见;(3) AHP在港口行业气候适应性规划中的创新应用。此外,虽然该框架的重点是希腊港口,但它提供了一个可复制的模式,可以适用于面临类似气候挑战的其他地区。最终,PRI作为一种诊断和战略工具,指导港口的政策、投资和备灾
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A composite port resilience index focused on climate-related hazards: Results from Greek ports’ living-labs
This paper develops a composite Port Resilience Index (PRI) to address the specific vulnerabilities and operational challenges of Greek ports in respect to climate-related hazards. Based on stakeholder engagement from Living Labs in three key ports (Chios, Volos, and Heraklion), the study identifies and quantifies the impacts of climate-related hazards using a structured Multi-Criteria Decision Analysis (MCDA) framework. Specifically, the Analytic Hierarchy Process (AHP) is used to elicit expert judgments and prioritize resilience criteria across five impact areas: Infrastructure, Operational and Supply Chain, Digital, Socioeconomic and Environmental, and Governance and Compliance Resilience. Nineteen indicators, spanning physical infrastructure, operational reliability, digital readiness, and socioeconomic factors, are evaluated to construct a composite PRI, enabling a transparent and stakeholder-informed benchmarking process. The results reveal significant variation in resilience levels, with Volos exhibiting the highest PRI (0.643) and Chios the lowest (0.217), thereby highlighting port-specific adaptation needs. Conducting a sensitivity analysis we validated the robustness of the PRI construction methodology across various weighting scenarios. The key contributions of this study are: (i) the development of a replicable, data-driven PRI model; (ii) the integration of local stakeholder input via Living Labs; and (iii) the innovative application of AHP to climate resilience planning in the port industry. Moreover, while focused on Greek ports, the framework offers a replicable model that can be adapted to other regions facing similar climate challenges. Ultimately, the PRI serves as both a diagnostic and strategic tool to guide policy, investment, and disaster preparedness in ports
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