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原文传递 Using Empirical Data to Quantify Port Resilience: Hurricane Matthew and the Southeastern Seaboard

题名：	Using Empirical Data to Quantify Port Resilience: Hurricane Matthew and the Southeastern Seaboard
其他题名：	Adams,R.P.,and MacKay,D.J.C.(2007)."Bayesian online changepoint detection."Univ.of Cambridge Technical Report,Cambridge,U.K.
正文语种：	英文
作者：	Katherine F. Touzinsky
关键词：	resilience；storm；identification；significance；measurement；disturbance；recoverin；framework；variations；analysis
摘要：	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 vesselposition 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.
出版年：	2018
论文唯一标识：	P-108Y2018V144N04009
英文栏目名称：	CASE STUDIES
doi：	10.1061/(ASCE)WW.1943-5460.0000446
期刊名称：	Journal of Waterway, Port, Coastal, and Ocean Engineering
拼音刊名(出版物代码)：	P-108
卷：	144
期：	04
页码：	105-116