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Dynamic evolutionary pathway analysis of urban rail transit flood risks and intelligent decision support based on knowledge graphs | Synapse
March 3, 2026
Open Access
Dynamic evolutionary pathway analysis of urban rail transit flood risks and intelligent decision support based on knowledge graphs
HW
Hao Wang
Tianjin University
SL
Shenglin Liu
LL
Lei Li
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Puntos clave
Flood risks in urban rail transit are influenced by dynamic evolutionary pathways, highlighting significant vulnerabilities.
A critical metric of flood risk management relies on accurate modeling to predict and address urban rail vulnerabilities.
Analysis utilizes knowledge graphs to enhance decision support systems within urban transit contexts.
This approach indicates potential advancements in flood risk mitigation, although the findings need real-world validation.
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Wang et al. (Sun,) studied this question.
synapsesocial.com/papers/69a765a1badf0bb9e87d9d2d
https://doi.org/https://doi.org/10.1016/j.ress.2026.112345