Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/111946
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Title: Research on port risk assessment based on various meteorological disasters
Authors: Wang, T
Ding, Z
Poo, MCP
Lau, YY 
Issue Date: Jun-2024
Source: Urban science, June 2024, v. 8, no. 2, 51
Abstract: Within the framework of economic globalisation, ports serve as critical junctures in international trade and play a vital role. However, as infrastructure is closely linked to the natural environment, ports are highly susceptible to the impacts of meteorological disasters. Therefore, a comprehensive assessment of the risks posed by meteorological hazards to ports, establishing corresponding early warning mechanisms, and adopting reasonable response and recovery strategies, is paramount in ensuring the safe operation of ports and maintaining the stability of international trade. This study has comprehensively analysed historical data and identified the pre-established loss stratification system, improving the theoretical construct of “expected loss”. Additionally, this research has innovatively integrated the idea of preventative factors aligned with risk indicators. A quantitative algorithm was used to factor in the preventative factors within the computational procedure, deriving the weights pertinent to each risk indicator. This research aimed to reduce the subjectivity inherent in the weighting assignment process through such an approach, thereby enhancing disaster risk assessment’s scientific rigour and reliability. Moreover, it underscores the critical role of adaptive urban planning in enhancing the resilience of crucial economic nodes like ports, thereby contributing to the broader objectives of sustainable urban development.
Keywords: Port meteorological disasters
Risk assessment
Weighting analysis
Publisher: MDPI AG
Journal: Urban science 
EISSN: 2413-8851
DOI: 10.3390/urbansci8020051
Rights: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Wang, T., Ding, Z., Poo, M. C.-P., & Lau, Y.-Y. (2024). Research on Port Risk Assessment Based on Various Meteorological Disasters. Urban Science, 8(2), 51 is available at https://doi.org/10.3390/urbansci8020051.
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