Articles | Volume 20, issue 6
https://doi.org/10.5194/nhess-20-1833-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-1833-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assessing the annual risk of vehicles being hit by a rainfall-induced landslide: a case study on Kennedy Road in Wan Chai, Hong Kong
Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, China
Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Department of Geotechnical Engineering, Tongji University, Shanghai, China
Lulu Zhang
State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai, China
Limin Zhang
Department of Civil Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China
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Cited
19 citations as recorded by crossref.
- Prompt Quantitative Risk Assessment for Rain-Induced Landslides J. He et al. 10.1061/JGGEFK.GTENG-10980
- ANALYSIS OF EMBANKMENT SLOPE STEEPNESS AND STABILITY T. Tamošiūnas 10.3846/mla.2022.15191
- Spatial prediction of landslides along National Highway-6, Hoa Binh province, Vietnam using novel hybrid models H. Hang et al. 10.1080/10106049.2021.1912195
- Bayesian Framework for Assessing Effectiveness of Geotechnical Site Investigation Programs J. Hu et al. 10.1061/AJRUA6.0001278
- Deformation Analysis and Reinforcement Effect Evaluation for the No. 65 Slope on the Shangsan Expressway Based on SBAS-InSAR D. Bai et al. 10.3390/buildings14113582
- Assessing expected benefit of site investigation program for reliability-based design of slope J. Hu et al. 10.1016/j.enggeo.2022.106749
- A non-contact quantitative risk assessment framework for translational highway landslides: Integration of InSAR, geophysical inversion, and numerical simulation Q. Fan et al. 10.1016/j.enggeo.2024.107818
- Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis H. Kim et al. 10.1016/j.enggeo.2021.106372
- Bayesian back analysis of unsaturated hydraulic parameters for rainfall-induced slope failure: A review H. Yang & L. Zhang 10.1016/j.earscirev.2024.104714
- An Integrated Assessment of Landside: Type, Causes, Pre-Post Scenario and Risk Impact on Pettimudi Incident in Idukki District, India S. Rahaman et al. 10.1016/j.rines.2024.100050
- A catastrophic high-speed train crash caused by a small-scale debris flow in China S. Zhang et al. 10.1016/j.trgeo.2023.101070
- Influence of geological uncertainty on longitudinal deformation of tunnel based on improved coupled Markov chain Q. Jiang et al. 10.1016/j.enggeo.2024.107564
- Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al. 10.3390/rs14163879
- Preface: Advances in extreme value analysis and application to natural hazards Y. Hamdi et al. 10.5194/nhess-21-1461-2021
- Traffic interruption risk induced by cut-slope failure: The rainfall effect G. Jiménez-Ramos et al. 10.1016/j.trgeo.2023.100993
- Assessing annual probability of rainfall-induced slope failure through a mechanics-based model M. Lu et al. 10.1007/s11440-021-01278-7
- Value of information analysis of site investigation program for slope design J. Hu et al. 10.1016/j.compgeo.2020.103938
- Assessing indirect economic losses of landslides along highways J. Zhang et al. 10.1007/s11069-021-04566-3
- A Computationally Efficient Method to Determine the Probability of Rainfall-Triggered Cut Slope Failure Accounting for Upslope Hydrological Conditions E. Robson et al. 10.1007/s00603-023-03694-5
19 citations as recorded by crossref.
- Prompt Quantitative Risk Assessment for Rain-Induced Landslides J. He et al. 10.1061/JGGEFK.GTENG-10980
- ANALYSIS OF EMBANKMENT SLOPE STEEPNESS AND STABILITY T. Tamošiūnas 10.3846/mla.2022.15191
- Spatial prediction of landslides along National Highway-6, Hoa Binh province, Vietnam using novel hybrid models H. Hang et al. 10.1080/10106049.2021.1912195
- Bayesian Framework for Assessing Effectiveness of Geotechnical Site Investigation Programs J. Hu et al. 10.1061/AJRUA6.0001278
- Deformation Analysis and Reinforcement Effect Evaluation for the No. 65 Slope on the Shangsan Expressway Based on SBAS-InSAR D. Bai et al. 10.3390/buildings14113582
- Assessing expected benefit of site investigation program for reliability-based design of slope J. Hu et al. 10.1016/j.enggeo.2022.106749
- A non-contact quantitative risk assessment framework for translational highway landslides: Integration of InSAR, geophysical inversion, and numerical simulation Q. Fan et al. 10.1016/j.enggeo.2024.107818
- Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis H. Kim et al. 10.1016/j.enggeo.2021.106372
- Bayesian back analysis of unsaturated hydraulic parameters for rainfall-induced slope failure: A review H. Yang & L. Zhang 10.1016/j.earscirev.2024.104714
- An Integrated Assessment of Landside: Type, Causes, Pre-Post Scenario and Risk Impact on Pettimudi Incident in Idukki District, India S. Rahaman et al. 10.1016/j.rines.2024.100050
- A catastrophic high-speed train crash caused by a small-scale debris flow in China S. Zhang et al. 10.1016/j.trgeo.2023.101070
- Influence of geological uncertainty on longitudinal deformation of tunnel based on improved coupled Markov chain Q. Jiang et al. 10.1016/j.enggeo.2024.107564
- Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al. 10.3390/rs14163879
- Preface: Advances in extreme value analysis and application to natural hazards Y. Hamdi et al. 10.5194/nhess-21-1461-2021
- Traffic interruption risk induced by cut-slope failure: The rainfall effect G. Jiménez-Ramos et al. 10.1016/j.trgeo.2023.100993
- Assessing annual probability of rainfall-induced slope failure through a mechanics-based model M. Lu et al. 10.1007/s11440-021-01278-7
- Value of information analysis of site investigation program for slope design J. Hu et al. 10.1016/j.compgeo.2020.103938
- Assessing indirect economic losses of landslides along highways J. Zhang et al. 10.1007/s11069-021-04566-3
- A Computationally Efficient Method to Determine the Probability of Rainfall-Triggered Cut Slope Failure Accounting for Upslope Hydrological Conditions E. Robson et al. 10.1007/s00603-023-03694-5
Latest update: 13 Dec 2024
Short summary
When analyzing the risk of landslides hitting moving vehicles, the spacing between vehicles and the vehicle types on the highway can be highly uncertain. Using a highway slope case study in Hong Kong, this paper presents a method to assess the risk of moving vehicles being hit by a rainfall-induced landslide; the method allows for the investigation of the possible number of different types of vehicles hit by the landslide and provides a new guideline for highway slope design.
When analyzing the risk of landslides hitting moving vehicles, the spacing between vehicles and...
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