Catastrophe risk assessment framework of ports and industrial clusters : a case study of the Guangdong province

Seaports, as critical infrastructures, are vulnerable to natural catastrophes such as hurricane/typhoon, earthquake, and tsunami. The inoperability of a port caused by these hazards tends to activate domino effects to the adjacent industrial clusters in the hinterland. Limited works addressed high-i...

Full description

Saved in:
Bibliographic Details
Main Authors: Cao, Xinhu, Lam, Jasmine Siu Lee
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/151102
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-151102
record_format dspace
spelling sg-ntu-dr.10356-1511022021-08-02T01:16:48Z Catastrophe risk assessment framework of ports and industrial clusters : a case study of the Guangdong province Cao, Xinhu Lam, Jasmine Siu Lee School of Civil and Environmental Engineering Institute of Catastrophe Risk Management (ICRM) Engineering::Civil engineering Port Industrial Cluster Seaports, as critical infrastructures, are vulnerable to natural catastrophes such as hurricane/typhoon, earthquake, and tsunami. The inoperability of a port caused by these hazards tends to activate domino effects to the adjacent industrial clusters in the hinterland. Limited works addressed high-impact and low-probability (HILP) catastrophe risks and fewer studied industrial cluster risks resulting from catastrophe-induced port disruptions. This paper aims to assess ports and industrial clusters catastrophe risks, based on a three-layer port-cargo-industrial cluster (PCI) model. By using the Guangdong province in China and the typhoon hazard as a case study, we find that the petrochemical industrial cluster is the most vulnerable in the Guangdong province against typhoon-induced port disruptions in the import mode, while the textile and apparel industrial cluster is the least vulnerable. These two industrial clusters exchange rankings under the export mode. Proactive preparations can thus be made to avoid any possible prolonged production downtimes. Nanyang Technological University We wish to thank the anonymous reviewers for their valuable comments and suggestions. We also wish to thank the Institute of Catastrophe Risk Management at Nanyang Technological University for providing research scholarship to the first author as a PhD student. 2021-08-02T01:16:48Z 2021-08-02T01:16:48Z 2019 Journal Article Cao, X. & Lam, J. S. L. (2019). Catastrophe risk assessment framework of ports and industrial clusters : a case study of the Guangdong province. International Journal of Shipping and Transport Logistics, 11(1), 1-24. https://dx.doi.org/10.1504/IJSTL.2019.096862 1756-6517 https://hdl.handle.net/10356/151102 10.1504/IJSTL.2019.096862 2-s2.0-85058784015 1 11 1 24 en International Journal of Shipping and Transport Logistics © 2019 Inderscience Enterprises Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Port
Industrial Cluster
spellingShingle Engineering::Civil engineering
Port
Industrial Cluster
Cao, Xinhu
Lam, Jasmine Siu Lee
Catastrophe risk assessment framework of ports and industrial clusters : a case study of the Guangdong province
description Seaports, as critical infrastructures, are vulnerable to natural catastrophes such as hurricane/typhoon, earthquake, and tsunami. The inoperability of a port caused by these hazards tends to activate domino effects to the adjacent industrial clusters in the hinterland. Limited works addressed high-impact and low-probability (HILP) catastrophe risks and fewer studied industrial cluster risks resulting from catastrophe-induced port disruptions. This paper aims to assess ports and industrial clusters catastrophe risks, based on a three-layer port-cargo-industrial cluster (PCI) model. By using the Guangdong province in China and the typhoon hazard as a case study, we find that the petrochemical industrial cluster is the most vulnerable in the Guangdong province against typhoon-induced port disruptions in the import mode, while the textile and apparel industrial cluster is the least vulnerable. These two industrial clusters exchange rankings under the export mode. Proactive preparations can thus be made to avoid any possible prolonged production downtimes.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Cao, Xinhu
Lam, Jasmine Siu Lee
format Article
author Cao, Xinhu
Lam, Jasmine Siu Lee
author_sort Cao, Xinhu
title Catastrophe risk assessment framework of ports and industrial clusters : a case study of the Guangdong province
title_short Catastrophe risk assessment framework of ports and industrial clusters : a case study of the Guangdong province
title_full Catastrophe risk assessment framework of ports and industrial clusters : a case study of the Guangdong province
title_fullStr Catastrophe risk assessment framework of ports and industrial clusters : a case study of the Guangdong province
title_full_unstemmed Catastrophe risk assessment framework of ports and industrial clusters : a case study of the Guangdong province
title_sort catastrophe risk assessment framework of ports and industrial clusters : a case study of the guangdong province
publishDate 2021
url https://hdl.handle.net/10356/151102
_version_ 1707050389688287232