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Extreme Weather Events (EWEs) are currently not well understood by the maritime community, even though the shipping industry is not immune to their potential disastrous consequences. This is critical for the Arctic supply chains, considering the serious lack of experience, data, communication facilities, and that rules and regulations governing the region are at the embryonic stage. Understanding such, the study develops an effective risk assessment model in the context of the maritime supply chain and quantifies the risks associated with EWEs in the Arctic. The model is developed based on a Bayesian Belief Network (BBN) that reflects a probabilistic risk priority index based on Failure Mode, Effects and Criticality Analysis (FMEA). Here, we introduce a new index, based on a weighted combination of the likelihood, visibility, and consequence of risk factors. The model is quantified by 51 respondents based on their sailing experience with cargo carriers along the Northwest Passage. Our findings suggest that dense fog and ice accretion are distinctly critical risk factors followed by thunderstorm, hail and/or waterspouts, extreme coldness, and blizzard. The study offers useful insight to all right- and stakeholders in the Arctic. Moreover, it presents an effective tool to develop high-resolution maps for maritime routes considering important shipping elements.
Roozbeh Panahi; Adolf K.Y. Ng; Mawuli K. Afenyo; Farshad Haeri. A novel approach in probabilistic quantification of risks within the context of maritime supply chain: The case of extreme weather events in the Arctic. Accident Analysis & Prevention 2020, 144, 105673 .
AMA StyleRoozbeh Panahi, Adolf K.Y. Ng, Mawuli K. Afenyo, Farshad Haeri. A novel approach in probabilistic quantification of risks within the context of maritime supply chain: The case of extreme weather events in the Arctic. Accident Analysis & Prevention. 2020; 144 ():105673.
Chicago/Turabian StyleRoozbeh Panahi; Adolf K.Y. Ng; Mawuli K. Afenyo; Farshad Haeri. 2020. "A novel approach in probabilistic quantification of risks within the context of maritime supply chain: The case of extreme weather events in the Arctic." Accident Analysis & Prevention 144, no. : 105673.
Created in 1993, the particularity of Journal of Transport Geography (JTRG) is to put ‘transport’ at center stage in human geography, long after similar initiatives about cultural, tourism, political, urban, and rural geographies. The goal of this research is to estimate JTRG's relative importance of (and interplay between) ‘transport specialization’ and ‘human geography’, focusing on port-related research as a case study. Constituting a database of 864 port articles published in JTRG and other selected geography and (non-geography) transport journals between 2009 and 2018 constitutes the backbone of our analysis. We particularly examine the thematic focus and the geographic scale of the corpus articles, which we complement by an analysis of their references. Main results reveal a stable preference for global-level studies and operational research, but compared with other journals, our corpus is marked by a stronger affinity with regional/national spatial scales and the locational (i.e., space-related) perspective. We conclude that JTRG publications (about ports) are more multidisciplinary than in other geography and transport journals. The paper contributes to a better understanding of the disciplinary evolution of academic research in the field of spatial studies, transport studies, and beyond.
César Ducruet; Roozbeh Panahi; Adolf K.Y. Ng; Changmin Jiang; Mawuli Afenyo. Between geography and transport: A scientometric analysis of port studies in Journal of Transport Geography. Journal of Transport Geography 2019, 81, 102527 .
AMA StyleCésar Ducruet, Roozbeh Panahi, Adolf K.Y. Ng, Changmin Jiang, Mawuli Afenyo. Between geography and transport: A scientometric analysis of port studies in Journal of Transport Geography. Journal of Transport Geography. 2019; 81 ():102527.
Chicago/Turabian StyleCésar Ducruet; Roozbeh Panahi; Adolf K.Y. Ng; Changmin Jiang; Mawuli Afenyo. 2019. "Between geography and transport: A scientometric analysis of port studies in Journal of Transport Geography." Journal of Transport Geography 81, no. : 102527.
The paper develops a Bayesian-based model to capture and estimate the socio-economic impacts associated with a potential oil spill caused by Arctic shipping. SEMA (Socio-Economic Impact Model for the Arctic) is illustrated through a hypothetical case and scenario analysis. SEMA is useful for contingency planning and response efforts in the Arctic.
Mawuli Afenyo; Changmin Jiang; Adolf K.Y. Ng. Climate change and Arctic shipping: A method for assessing the impacts of oil spills in the Arctic. Transportation Research Part D: Transport and Environment 2019, 77, 476 -490.
AMA StyleMawuli Afenyo, Changmin Jiang, Adolf K.Y. Ng. Climate change and Arctic shipping: A method for assessing the impacts of oil spills in the Arctic. Transportation Research Part D: Transport and Environment. 2019; 77 ():476-490.
Chicago/Turabian StyleMawuli Afenyo; Changmin Jiang; Adolf K.Y. Ng. 2019. "Climate change and Arctic shipping: A method for assessing the impacts of oil spills in the Arctic." Transportation Research Part D: Transport and Environment 77, no. : 476-490.