Subway travel risk evaluation during flood events based on smart card data

Sun, Dianchen; Wang, Huimin; Lall, Upmanu; Huang, Jing; Liu, Gao-Feng

doi:10.1080/19475705.2022.2134056

Cited by 12 publications

(1 citation statement)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, statistical modeling approaches involve analyzing data and performing simulations based on statistical analysis. For instance, some scholars use weather warning signals and passenger flow elasticity curves [13], census and metro smart card data [14], and sequence-probability matrices [15] to perform statistical analysis and then conduct simulation studies. However, simulation-based approaches require a large amount of data and computational resources, which can be costly.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Flooding Disaster Risks for Subway Stations Based on the PSR Cloud Model

Liu,

Zheng,

et al. 2023

Sustainability

View full text Add to dashboard Cite

This study aims to scientifically evaluate the risk of rainstorm waterlogging disasters in urban subway stations, improve the management of disaster prevention and control, and mitigate the impact of such disasters. To achieve this, a risk assessment analysis was conducted using the Pressure-State-Response (PSR) cloud model. The analysis involved examining the components of the subway station rainstorm waterlogging disaster system, including the disaster-prone environment, disaster-affected body, and disaster-causing factors. Based on the PSR framework, a risk assessment index system for rainstorm waterlogging disasters in subway stations was developed. The entropy weight method and cloud model algorithm were then combined to establish a risk assessment method. By utilizing a cloud generator, the digital characteristics of the risk cloud were calculated, and a risk cloud map was generated to determine the level of risk. Finally, an empirical analysis was carried out at Jin’anqiao Station of the Beijing Subway, providing valuable insights for the evaluation of rainstorm waterlogging disasters in subway stations.

show abstract

Section: Literature Reviewmentioning

confidence: 99%