Published July 2018 | Version v1
Journal article

Simulation-based catastrophe-induced port loss estimation

  • 1. Institute of Catastrophe Risk Management, School of Civil and Environmental Engineering, Nanyang Technological University, N1, 50 Nanyang Avenue, Singapore 639798 (Singapore)
  • 2. School of Civil and Environmental Engineering, Nanyang Technological University, N1, 50 Nanyang Avenue, Singapore 639798 (Singapore)

Description

Highlights: • Evaluates catastrophe-induced physical and economic port losses by simulation. • Port of Shenzhen and typhoon hazard as an example. • The worst-case scenario of a typhoon impact is analyzed. • Model is validated with actual terminal operation records. 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2018.02.008

Additional details

Identifiers

DOI
10.1016/j.ress.2018.02.008;
PII
S0951832017307172;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
175
Journal Page Range
p. 1-12
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52112462
Subject category
S42: ENGINEERING;
Descriptors DEI
ECONOMY; HAZARDS; LOSSES; MITIGATION; OPERATION; PROFITS; RISK ASSESSMENT; SIMULATION; URBAN AREAS; VULNERABILITY

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.