ORIGINAL RESEARCH
Environmental Vulnerability Assessment
of Rainstorm Waterlogging Disaster
in Underground Railway
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1
Zhijiang College, Zhejiang University of Technology, Shaoxing 312030, China
2
College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China
Submission date: 2023-12-27
Final revision date: 2024-02-27
Acceptance date: 2024-03-25
Online publication date: 2024-07-29
Corresponding author
Wei Huang
College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China
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ABSTRACT
During the rainy season, heavy rainfall will lead to urban waterlogging disasters, which have a great
impact on the environment. In addition, the continuous flood disaster has seriously affected the operation and
safety of urban subways and the living environment of human beings. After the flood disaster, the underground
railway and its surrounding environment are highly vulnerable systems with strong uncertainty, ambiguity,
and complexity. Therefore, it is the key issue to perform an environmental vulnerability assessment of the
rainstorm waterlogging disaster in urban rail transit for environmental estimation and emergency decisionmaking.
Based on a large amount of literature research and environmental assessment experience, the index
system for rainstorm waterlogging environmental vulnerability assessment has been constructed, which
includes 5 secondary indexes and 25 tertiary indexes. Moreover, the entropy weight theory is improved, and
the matter-element theory is optimized to construct the environmental vulnerability assessment model of the
rainstorm waterlogging disaster. The Nanning Metro Line 1 is analyzed as a typical case study. The results
show that the new environmental vulnerability assessment model is perfect for case studies, and the evaluation
result is level Ⅲ. Furthermore, the application results of the environmental vulnerability assessment show that
the main influencing factors are emergency training drills and crisis response learning. Overall, this assessment
method can be extended to similar applications of environmental vulnerability assessment in flood disasters.