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Too big to fail? The spatial vulnerability of the Chinese infrastructure system to flooding risks

Abstract:
Analysis of vulnerability to climate-related hazards, such as flooding, typically starts with the distribution of people and economic assets in flood-prone locations. However, this approach provides limited information about the severity of disruption that may be caused in extreme and disastrous events, as it does not fully account for the economic and social dependence on vulnerable assets. Infrastructure assets are particularly significant in this regard because of the very high social and economic dependence on these systems, which can extend far outside the hazard zone. In this paper, we demonstrate a methodology that is capable of understanding this spatial aspect of the vulnerability for the Chinese infrastructure system to flooding impacts on both a broad and local scale. We apply the methodology to the rail and electricity sectors. The results show the locations of critical infrastructure that are exposed to risk of flooding on a broad scale. We are also able to calculate the potential number of customers affected - should infrastructure assets fail owing to one or a series of flooding event(s) - on a local scale. Interestingly, our results show that the critical infrastructure in these sectors is not exposed to high flooding risks; however, climate change may increase the frequency of flooding events in these locations and planners should at least investigate the flood defence structures in these areas.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1061/9780784413609.072

Authors


More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Role:
Author


Publisher:
American Society of Civil Engineers
Host title:
Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
Pages:
704-714
Publication date:
2014-01-01
DOI:
ISBN:
9780784413609


Pubs id:
pubs:531849
UUID:
uuid:632a3f93-f5f0-43cf-9eb5-fa52e7098c01
Local pid:
pubs:531849
Source identifiers:
531849
Deposit date:
2015-10-28

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