Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Using Empirical Data to Quantify Port Resilience: Hurricane Matthew and the Southeastern Seaboard
The economic significance of the U.S. Marine Transportation System (MTS) generates a need to understand the resilience of the MTS. Resilience is defined herein as a system’s ability maintain a given critical function through preparing, resisting, recovering, and adapting to a disturbance. Past studies quantifying MTS resilience provided conceptual frameworks for measurement; however, detailed and accurate field data throughout each phase of a resilience challenge are extremely difficult to obtain. In addition, port-system resilience analysis techniques must be widely applicable and reproducible. This case study examined the impact of Hurricane Matthew (October 2016) on three ports in the southeastern United States: Charleston, Savannah, and Jacksonville. The study used automatic identification system vessel-position data to calculate two port performance metrics: cumulative dwell time (CDT) and net vessel count (NVC). These metrics were analyzed to quantify system behavior during five stages of the storm: prestorm, prepare, resist, recover, and poststorm. Bayesian changepoint analysis was used to identify the abrupt variations in system performance over time, most notably the transition from recovery to poststorm stages.
Using Empirical Data to Quantify Port Resilience: Hurricane Matthew and the Southeastern Seaboard
The economic significance of the U.S. Marine Transportation System (MTS) generates a need to understand the resilience of the MTS. Resilience is defined herein as a system’s ability maintain a given critical function through preparing, resisting, recovering, and adapting to a disturbance. Past studies quantifying MTS resilience provided conceptual frameworks for measurement; however, detailed and accurate field data throughout each phase of a resilience challenge are extremely difficult to obtain. In addition, port-system resilience analysis techniques must be widely applicable and reproducible. This case study examined the impact of Hurricane Matthew (October 2016) on three ports in the southeastern United States: Charleston, Savannah, and Jacksonville. The study used automatic identification system vessel-position data to calculate two port performance metrics: cumulative dwell time (CDT) and net vessel count (NVC). These metrics were analyzed to quantify system behavior during five stages of the storm: prestorm, prepare, resist, recover, and poststorm. Bayesian changepoint analysis was used to identify the abrupt variations in system performance over time, most notably the transition from recovery to poststorm stages.
Using Empirical Data to Quantify Port Resilience: Hurricane Matthew and the Southeastern Seaboard
Touzinsky, Katherine F. (Autor:in) / Scully, Brandan M. (Autor:in) / Mitchell, Kenneth N. (Autor:in) / Kress, Marin M. (Autor:in)
16.03.2018
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Using Empirical Data to Quantify Port Resilience: Hurricane Matthew and the Southeastern Seaboard
| British Library Online Contents | 2018
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CDIP wave observations during Hurricane Matthew
| British Library Online Contents | 2018