.png){kind=icon}
返回
Simulation-based catastrophe-induced port loss estimation
.png){kind=icon}
OA
AI
DOI：10.1016/j.ress.2018.02.008.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Seaports are critical infrastructure systems in the international economy. They are at the same time vulnerable to various types of natural and man-made catastrophes due to their special coastal and low-lying locations. Traditional catastrophe risk analyses focused more on regions, port cities, and port communities. Limited studies assessed catastrophe risks on ports as a specific system. This paper aims to develop a catastrophe-induced port loss estimation framework, based on a port operation simulation model, actual terminal records and historical hazard records. By using the typhoon hazard and the Port of Shenzhen as a case study, we find that (1) the worst-case scenario of a typhoon impact could cause a total loss of US$0.91 billion for a terminal with 16 berths; and (2) the annual predicted typhoon-induced loss for the same terminal for the next 5 years will reach approximately US$64 million, accounting for 19.7% of the terminal net profit in 2015. The results provide useful references for various port stakeholders in catastrophe risk assessment and mitigation. (C) 2018 Elsevier Ltd. All rights reserved.
Keyword:
Catastrophe risk
Port
Worst-case scenario
Vulnerability
Container terminal loss estimation
Simulation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
R
IF:
11
论文数:
9.0K
被引数:
4.2W
机构
引用论文
Risk assessment framework for exposure of cargo and ports to natural hazards and climate extremes
PREAI
分享收藏Development of a Risk Framework for Forecasting Earthquake Losses in Port Systems.png)
EARTHQUAKE SPECTRA
EARTHQUAKE SPECTRAIF3.7
PREAI
分享收藏
查看更多内容