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 decision-making. 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.