Assessment of urban waterlogging-induced road traffic safety risk and identification of its driving factors: A case study of Beijing

Yang, Zihao; Wang, Hao; Chen, Bin

doi:10.1016/j.tra.2024.104080

Transportation Research Part A: Policy and Practice

2024

DOI: 10.1016/j.tra.2024.104080

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Assessment of urban waterlogging-induced road traffic safety risk and identification of its driving factors: A case study of Beijing

Zihao Yang,

Hao Wang,

Bin Chen

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2024

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Cited by 2 publications

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A Traffic Anomaly Detection Method Using Traffic Flow Vectors During Heavy Rainfall

Hirata,

Kawasaki,

Yoshida

2024

Int. J. ITS Res.

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In torrential rain disasters, affected areas are identified through reporting and patrolling; however, traffic monitoring remains a challenge. This study establishes a traffic anomaly detection method during heavy rain disasters. Using probe trajectory data collected during such events, the proposed method captures traffic flow characteristics using directional vectors of road inflow and outflow. The effectiveness of the proposed method was evaluated through comparisons with previously proposed methods. The results confirmed that compared with existing methods, the proposed method could more accurately detect traffic anomalies, such as U-turns and detours, and can be used to detect other traffic anomalies. Moreover, the proposed model necessitates minimal calibration effort because it requires only two parameters—time step and rate of change. The proposed method can detect various traffic anomalies that occur during a heavy rain disaster and will contribute to the early restoration of damaged areas by providing a detailed understanding of the damage situation.

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A Traffic Anomaly Detection Method Using Traffic Flow Vectors During Heavy Rainfall

Hirata,

Kawasaki,

Yoshida

2024

Int. J. ITS Res.

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Street Community-Level Urban Flood Risk Assessment Based on Numerical Simulation

Li,

Wang,

Guo

et al. 2024

Sustainability

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Urban waterlogging is a serious urban disaster, which brings huge losses to the social economy and environment of the city. As an important means of urban rainfall inundation analysis, numerical simulation plays an important role in promoting the risk assessment of urban waterlogging. Scientific and accurate assessment of waterlogging disaster losses is of scientific significance for the formulation of disaster prevention and mitigation measures and the guidance of post-disaster recovery and reconstruction. In this study, the SCS-CN hydrological model and GIS coupling numerical simulation method were used to simulate the inundation of urban waterlogging under four different rainfall return periods and to realize the visualization of the inundation range and waterlogging depth in Zhengzhou. At the same time, based on the numerical simulation results, the building is used as the basic assessment unit to construct a refined assessment framework for urban waterlogging risk at the street community level based on hazard, exposure, and vulnerability analysis. The refined risk assessment results have an important reference value for optimizing the working ideas of waterlogging control and providing a reference for local management departments to effectively deal with waterlogging disasters.

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Assessment of urban waterlogging-induced road traffic safety risk and identification of its driving factors: A case study of Beijing

Cited by 2 publications

References 78 publications

A Traffic Anomaly Detection Method Using Traffic Flow Vectors During Heavy Rainfall

A Traffic Anomaly Detection Method Using Traffic Flow Vectors During Heavy Rainfall

Street Community-Level Urban Flood Risk Assessment Based on Numerical Simulation

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