Articles | Volume 20, issue 7
https://doi.org/10.5194/nhess-20-1969-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-20-1969-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Jul 2020
Research article |
| 15 Jul 2020
| 15 Jul 2020
Natural hazard impacts on transport infrastructure in Russia
Faculty of Geography, Lomonosov Moscow State University, Moscow, 119991, Russia
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Total article views: 2,939 (including HTML, PDF, and XML)
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Total article views: 465 (including HTML, PDF, and XML)
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20 citations as recorded by crossref.
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- Investigation of accidents in the infrastructure triggered by debris flows in Russia E. Petrova 10.1007/s11069-022-05518-1
- Flood hazards, social vulnerability and societal risks in Russia V. Lipatov et al. 10.1007/s10668-023-03410-x
- Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms H. Shahabi et al. 10.3390/rs15123112
- Using Radial Basis Function and Back Propagation to predicate fault in a railway dangerous goods transportation system considering the Markov Correction W. Huang et al. 10.1016/j.asoc.2023.110593
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- Evolution and stability of liner shipping networks in Northeast Asia from 2018 to 2022 S. Guo & J. Lyu 10.1016/j.tranpol.2024.10.001
- ATCNet: A Novel Approach for Predicting Highway Visibility Using Attention-Enhanced Transformer–Capsule Networks W. Li et al. 10.3390/electronics13050920
- Multi-hazard risk assessment of rail infrastructure in India under local vulnerabilities towards adaptive pathways for disaster resilient infrastructure planning D. Joshi et al. 10.1016/j.pdisas.2023.100308
- ABCNet: A comprehensive highway visibility prediction model based on attention, Bi-LSTM and CNN W. Li et al. 10.3934/mbe.2024194
- The effects of flooding on railway infrastructure: A literature review M. Ochsner et al. 10.1016/j.trpro.2023.11.654
- Sustainable Disaster Response Management Related to Large Technical Systems S. Kinzhikeyev et al. 10.3390/su122410290
- Novel asphalt pavement with directional heat conduction for melting of ice and snow in plateau and cold areas Z. Li et al. 10.1093/iti/liad010
- Improved assessment of rainfall-induced railway infrastructure risk in China using empirical data W. Zhu et al. 10.1007/s11069-022-05605-3
- Earth Observation for Sustainable Infrastructure: A Review Y. Song & P. Wu 10.3390/rs13081528
- Assessment of airport conditions in resilience efforts: A review E. Prihartanto et al. 10.1051/e3sconf/202342903001
- Should the multi-layer transportation network structure be reduced? Y. Zhang et al. 10.1080/19427867.2024.2408923
19 citations as recorded by crossref.
- Preface: Natural hazard impacts on technological systems and infrastructures E. Petrova & M. Bostenaru Dan 10.5194/nhess-20-2627-2020
- Increasing costs to Chinese railway infrastructure by extreme precipitation in a warmer world K. Liu et al. 10.1016/j.trd.2021.102797
- Investigation of accidents in the infrastructure triggered by debris flows in Russia E. Petrova 10.1007/s11069-022-05518-1
- Flood hazards, social vulnerability and societal risks in Russia V. Lipatov et al. 10.1007/s10668-023-03410-x
- Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms H. Shahabi et al. 10.3390/rs15123112
- Using Radial Basis Function and Back Propagation to predicate fault in a railway dangerous goods transportation system considering the Markov Correction W. Huang et al. 10.1016/j.asoc.2023.110593
- Evaluation of strategies to manage risks in smart, sustainable agri‐logistics sector: A Bayesian‐based group decision‐making approach H. Gupta et al. 10.1002/bse.3368
- A Robust Optimization Model for Emergency Location Considering the Uncertainty and Correlation of Transportation Network Capacity B. Jiang & Y. Song 10.3390/systems12080277
- Modeling near-real-time multiphase cascading failures across interdependent power, water, and gas infrastructure A. Momeni et al. 10.1080/15732479.2024.2312267
- Evolution and stability of liner shipping networks in Northeast Asia from 2018 to 2022 S. Guo & J. Lyu 10.1016/j.tranpol.2024.10.001
- ATCNet: A Novel Approach for Predicting Highway Visibility Using Attention-Enhanced Transformer–Capsule Networks W. Li et al. 10.3390/electronics13050920
- Multi-hazard risk assessment of rail infrastructure in India under local vulnerabilities towards adaptive pathways for disaster resilient infrastructure planning D. Joshi et al. 10.1016/j.pdisas.2023.100308
- ABCNet: A comprehensive highway visibility prediction model based on attention, Bi-LSTM and CNN W. Li et al. 10.3934/mbe.2024194
- The effects of flooding on railway infrastructure: A literature review M. Ochsner et al. 10.1016/j.trpro.2023.11.654
- Sustainable Disaster Response Management Related to Large Technical Systems S. Kinzhikeyev et al. 10.3390/su122410290
- Novel asphalt pavement with directional heat conduction for melting of ice and snow in plateau and cold areas Z. Li et al. 10.1093/iti/liad010
- Improved assessment of rainfall-induced railway infrastructure risk in China using empirical data W. Zhu et al. 10.1007/s11069-022-05605-3
- Earth Observation for Sustainable Infrastructure: A Review Y. Song & P. Wu 10.3390/rs13081528
- Assessment of airport conditions in resilience efforts: A review E. Prihartanto et al. 10.1051/e3sconf/202342903001
1 citations as recorded by crossref.
Latest update: 21 Nov 2024
Short summary
Using the information of the author's database, contributions of natural hazards and adverse weather to occurrences of different types of transport accidents and traffic disruptions including road, railway, air, and water transport were revealed. Regional differences in the risk of transport accidents and traffic disruptions caused by adverse natural impacts between Russian federal regions were found. The resulting maps were created and analyzed. Regions most at risk were identified.
Using the information of the author's database, contributions of natural hazards and adverse...
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