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原文传递 Quantifying and Evaluating Community Resilience for Sustainable Cities, 10/01/2015 – 06/01/2018.

题名：	Quantifying and Evaluating Community Resilience for Sustainable Cities, 10/01/2015 – 06/01/2018.
作者：	Wolshon, B.; Parr, S.; Farhadi, N.; Mitchell, K. N.
关键词：	Quantifying, Community resilience, Sustainable cities, Port of New York and New Jersey, Evaluating, Marine Transportation System (MTS), Operational decisions, Houston Ship Channel (HSC), Nationwide Automatic Identification System (NAIS), U.S. Army Corps of Engineers (USACE)
摘要：	The United States Marine Transportation System (MTS) makes large contributions to the nation’s economy, security, safety, and quality of life. Strategic investment, planning, administrative and operational decisions by government at all levels are necessary to maintain the marine transportation system performance at all times, which in turn requires a technical approach and professional leadership based on research. This study describes the approach and results of an ongoing research effort to assess the resiliency of port operations following major disasters and other disruptive events. The work presented in this research uses a set of archival data from the United States Coast Guard’s Nationwide Automatic Identification System (NAIS) to quantify the state of resiliency by investigating the operation of coastal navigation systems before, during and after disruptive events. To illustrate the ability of proposed methodology to assess the resiliency of a marine transportation system, two case studies representing two different types of infrastructure disruption are presented. The first case study involves the disruption that resulted from a collision in March 2014 in Texas in the Houston Ship Channel as a no-notice event. The second was a disruption caused by Superstorm Sandy in 2012 on the greater Port of New York/New Jersey as a pre-notice event. The results of this study revealed the importance of AIS data as a source of quantitative data when seeking post-disaster measures of resiliency. From an application perspective, the methods and results presented herein can be adapted and implemented to quantitatively evaluate the amount of port’s service loss and the levels of port activity following disruptive events.
报告类型：	科技报告