Stakeholder mapping and disruption scenarios with application to resilience of a container port

Ayedh Almutairi, Zachary A. Collier, Daniel Hendrickson, Palma-Oliveira, José M., Thomas L. Polmateer and James H. Lambert

Reliability Engineering and System Safety, 2019, vol. 182, issue C, 219-232

Abstract: Port infrastructure and port operations are highly impacted by disruptive scenarios that stem from several different types of causes, including adverse weather events, economic crises, traffic congestion, and spikes in demand, among others. Port intermodal transportation systems are characterized by high complexity and uncertainty since they serve and impact multiple groups of stakeholders, including exporters, importers, operators, organizations, port workers, port authorities, residents, and others. The influences of the disruptive scenarios combined with the influences of possible conflicting interests among groups of stakeholders make significant impacts to port operations and planning programs. The innovation of this study is that it integrates two existing approaches to resilience analytics addressing the influences of scenarios and stakeholders to priorities: a stakeholder classification approach called stakeholder mapping, and an approach known as scenario-based preferences modeling. The framework that is developed in this paper finds the joint influences of disruptive scenarios and groups of stakeholders to disrupt the importance ranking of initiatives. The results emphasize that the most disruptive scenario to the multiple groups of stakeholders is s1, Traffic Congestion, the least disruptive scenario is s3, High Operation Cost, and the most robust and highly prioritized initiative is x18, Constructing the CIMT marine terminal.

Keywords: Resilience analytics; Enterprise risk management; Risk communications; Systems engineering; Systems analysis; Systems integration (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:182:y:2019:i:c:p:219-232

DOI: 10.1016/j.ress.2018.10.010

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