Systemic risk capability assessment methodology: A new approach for evaluating inter-connected risks in seaport ecosystems

IF 2.6 Q3 ENVIRONMENTAL SCIENCES Progress in Disaster Science Pub Date : 2024-04-01 DOI:10.1016/j.pdisas.2024.100325
Arunabh Mitra , Chime Youdon , Pradeep Chauhan , Rajib Shaw
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Abstract

The ever-increasing systemic risks posed by disasters and the impacts of climate change have emerged as formidable challenges that demand comprehensive assessment and understanding. This study endeavours to address this critical need by introducing the innovative Systemic Risk Capability Assessment (SRCA) methodology. Unlike traditional risk assessment approaches, SRCA is uniquely designed to not only assess systemic risk but also operationalize its management, making it particularly suited for safeguarding critical infrastructure, with a specific focus on seaports. The SRCA methodology, offers a quasi-quantitative framework that goes beyond conventional risk assessment, enabling a deeper understanding of the dynamics and interdependencies inherent to seaport ecosystems. In the pursuit of demonstrating the practicality and versatility of the SRCA methodology, this study applies the model to two hypothetical ports, accompanied by the utilization of synthetic data. By doing so, it elucidates the step-by-step analysis facilitated by SRCA, highlighting its potential for enhancing the resilience of seaports to systemic risks. The results underscore the limitations of traditional risk assessment methodologies when confronted with the complexity of systemic risks in seaports, thereby emphasizing the significance of the proposed SRCA methodology. In conclusion, this research contributes significantly to the field of systemic risk management, particularly within the critical infrastructure domain.

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系统风险能力评估方法:评估海港生态系统中相互关联风险的新方法
灾害和气候变化的影响所带来的系统性风险不断增加,已成为需要全面评估和了解的严峻挑战。本研究通过引入创新的系统风险能力评估(SRCA)方法,努力满足这一关键需求。与传统的风险评估方法不同,SRCA 设计独特,不仅能评估系统性风险,还能对其进行可操作的管理,因此特别适用于保护关键基础设施,尤其是海港。SRCA 方法提供了一个超越传统风险评估的准定量框架,使人们能够更深入地了解海港生态系统固有的动态和相互依存关系。为了证明 SRCA 方法的实用性和多功能性,本研究将该模型应用于两个假设港口,并利用合成数据。通过这样做,本研究阐明了 SRCA 所促进的逐步分析,突出了 SRCA 在提高海港抵御系统性风险能力方面的潜力。研究结果凸显了传统风险评估方法在面对复杂的海港系统性风险时的局限性,从而强调了所提出的 SRCA 方法的重要性。总之,这项研究为系统风险管理领域,特别是关键基础设施领域做出了重大贡献。
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来源期刊
Progress in Disaster Science
Progress in Disaster Science Social Sciences-Safety Research
CiteScore
14.60
自引率
3.20%
发文量
51
审稿时长
12 weeks
期刊介绍: Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery. A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.
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