Articles | Volume 18, issue 4
https://doi.org/10.5194/nhess-18-1121-2018
© Author(s) 2018. 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-18-1121-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Apr 2018
Research article |
| 11 Apr 2018
| 11 Apr 2018
Potential future exposure of European land transport infrastructure to rainfall-induced landslides throughout the 21st century
Matthias Schlögl
CORRESPONDING AUTHOR
Transportation Infrastructure Technologies, Austrian Institute of Technology (AIT), Vienna, Austria
Institute of Applied Statistics and Computing, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
Christoph Matulla
CORRESPONDING AUTHOR
Department for Climate Research, Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Vienna, Austria
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Cited
42 citations as recorded by crossref.
- Using machine learning techniques in multi-hazards assessment of Golestan National Park, Iran H. Faramarzi et al. https://doi.org/10.1007/s11069-023-05984-1
- From Mass Movements to Mitigation Measures: A Statistical Evaluation of Landslides in the Austrian Federal Railway Network H. Laimer https://doi.org/10.17738/ajes.2025.0016
- Predictive Value of Nesfatin-1, Galectin-3, Ghrelin, and Leptin Expressions in Patients with Metabolic Syndrome Who Underwent Coronary Artery Bypass Graft (CABG) Surgery E. Altun et al. https://doi.org/10.4274/BMB.galenos.2023.2022-11-096
- Preface: Landslide–transport network interactions F. Taylor et al. https://doi.org/10.5194/nhess-20-2585-2020
- Nature-based solutions for hydro-meteorological hazards: Revised concepts, classification schemes and databases S. Debele et al. https://doi.org/10.1016/j.envres.2019.108799
- Climate-related risk assessment in water safety plans: the case study of Acque Bresciane (Italy) M. Biasibetti et al. https://doi.org/10.2166/wh.2023.103
- Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area B. Ghasemian et al. https://doi.org/10.3389/fenvs.2022.897254
- Integration of landslide hazard into urban planning across Europe R. Mateos et al. https://doi.org/10.1016/j.landurbplan.2019.103740
- On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach M. Schlögl et al. https://doi.org/10.5194/nhess-19-201-2019
- A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran B. Ghasemian et al. https://doi.org/10.3390/s22041573
- Invited perspectives: Landslide populations – can they be predicted? F. Guzzetti https://doi.org/10.5194/nhess-21-1467-2021
- Rockfall impacts on the road network of the Metropolitan Area of Rome: a risk prioritisation framework for decision-makers G. Marmoni et al. https://doi.org/10.1016/j.ijdrr.2026.106182
- A Modeling Comparison of Groundwater Potential Mapping in a Mountain Bedrock Aquifer: QUEST, GARP, and RF Models D. Davoudi Moghaddam et al. https://doi.org/10.3390/w12030679
- How can statistical and artificial intelligence approaches predict piping erosion susceptibility? M. Hosseinalizadeh et al. https://doi.org/10.1016/j.scitotenv.2018.07.396
- A spatiotemporal analysis using expert-weighted indicators for assessing social resilience to natural hazards A. Jaafari et al. https://doi.org/10.1016/j.scs.2023.105051
- Future protective forests: a regional forecast on potential natural conditions of woody species impacted by climate change along the Austrian railway corridor H. Mueller et al. https://doi.org/10.3389/frsus.2026.1709035
- A comparison of annual streamflow sensitivities to vegetation change and climate variability in fourteen large watersheds along climate zones in China Y. Hou et al. https://doi.org/10.1016/j.catena.2023.107571
- Navigating One Health impacts of rugged terrain: challenges and opportunities Y. Cao et al. https://doi.org/10.1093/biosci/biaf126
- The effect of climate change on landslide probability in Germany K. Nissen et al. https://doi.org/10.1007/s10346-025-02555-2
- Derivation of canonical total-sequences triggering landslides and floodings in complex terrain K. Enigl et al. https://doi.org/10.1016/j.advwatres.2019.04.018
- Bayesian back analysis of unsaturated hydraulic parameters for rainfall-induced slope failure: A review H. Yang & L. Zhang https://doi.org/10.1016/j.earscirev.2024.104714
- Past and future changes of the Austrian climate – Importance for tourism M. Olefs et al. https://doi.org/10.1016/j.jort.2021.100395
- Implications of climate change for railway infrastructure E. Palin et al. https://doi.org/10.1002/wcc.728
- Enhancing snow avalanche susceptibility assessment with meta-heuristic optimization and deep learning algorithms A. Ghayur Sadigh et al. https://doi.org/10.1007/s13762-025-06387-4
- National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. https://doi.org/10.1016/j.enggeo.2024.107474
- Impact of GDP growth on the ecological footprint: Theoretical and empirical evidence from Saudi Arabia F. Alruweili https://doi.org/10.21833/ijaas.2023.05.015
- Climate change increases the number of landslides at the juncture of the Alpine, Pannonian and Mediterranean regions M. Jemec Auflič et al. https://doi.org/10.1038/s41598-023-50314-x
- Landslides, a Key Landform in the Global Geological Heritage C. Morino et al. https://doi.org/10.3389/feart.2022.864760
- Toward the development of deep learning analyses for snow avalanche releases in mountain regions Y. Chen et al. https://doi.org/10.1080/10106049.2021.1986578
- A decrease in rockfall probability under climate change conditions in Germany K. Nissen et al. https://doi.org/10.5194/nhess-23-2737-2023
- Understanding the spatial patterns of major geo-hydrological disasters in Italy using the CatBoost algorithm S. Segoni et al. https://doi.org/10.1016/j.scitotenv.2025.180355
- Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change Q. Lin et al. https://doi.org/10.1029/2023EF003741
- Landslide susceptibility methodology for railway planning: a comparative analysis of statistical and machine learning methods in a case study of Marche region, Italy R. Rani et al. https://doi.org/10.1016/j.trgeo.2025.101731
- Towards a holistic assessment of landslide susceptibility models: insights from the Central Eastern Alps M. Schlögl et al. https://doi.org/10.1007/s12665-024-12041-y
- Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping B. Pham et al. https://doi.org/10.1016/j.catena.2020.104805
- Classifying climate-related failures for regional-national railway networks A. Karbalaie et al. https://doi.org/10.1016/j.crm.2025.100764
- Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change Q. Lin et al. https://doi.org/10.1016/j.scitotenv.2022.158049
- Mass movement hazard & global climate change: Physical-deterministic modelling study of the rest and be thankful pass, Scotland UK N. Klaver et al. https://doi.org/10.1016/j.geomorph.2023.108979
- Climate change impacts assessment on railway infrastructure in urban environments A. Kasraei et al. https://doi.org/10.1016/j.scs.2023.105084
- How will the projected climate change influence rainfall-induced landslides in Europe? A review of modelling approaches S. Gariano & G. Rianna https://doi.org/10.1007/s10346-025-02550-7
- Railway Transport Adaptation Strategies to Climate Change at High Latitudes: A Review of Experience from Canada, Sweden and China E. Kostianaia & A. Kostianoy https://doi.org/10.2478/ttj-2023-0016
- Climate change risks on railway infrastructure: A systematic review and analysis E. Haghighi et al. https://doi.org/10.1016/j.scs.2025.106504
42 citations as recorded by crossref.
- Using machine learning techniques in multi-hazards assessment of Golestan National Park, Iran H. Faramarzi et al. https://doi.org/10.1007/s11069-023-05984-1
- From Mass Movements to Mitigation Measures: A Statistical Evaluation of Landslides in the Austrian Federal Railway Network H. Laimer https://doi.org/10.17738/ajes.2025.0016
- Predictive Value of Nesfatin-1, Galectin-3, Ghrelin, and Leptin Expressions in Patients with Metabolic Syndrome Who Underwent Coronary Artery Bypass Graft (CABG) Surgery E. Altun et al. https://doi.org/10.4274/BMB.galenos.2023.2022-11-096
- Preface: Landslide–transport network interactions F. Taylor et al. https://doi.org/10.5194/nhess-20-2585-2020
- Nature-based solutions for hydro-meteorological hazards: Revised concepts, classification schemes and databases S. Debele et al. https://doi.org/10.1016/j.envres.2019.108799
- Climate-related risk assessment in water safety plans: the case study of Acque Bresciane (Italy) M. Biasibetti et al. https://doi.org/10.2166/wh.2023.103
- Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area B. Ghasemian et al. https://doi.org/10.3389/fenvs.2022.897254
- Integration of landslide hazard into urban planning across Europe R. Mateos et al. https://doi.org/10.1016/j.landurbplan.2019.103740
- On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach M. Schlögl et al. https://doi.org/10.5194/nhess-19-201-2019
- A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran B. Ghasemian et al. https://doi.org/10.3390/s22041573
- Invited perspectives: Landslide populations – can they be predicted? F. Guzzetti https://doi.org/10.5194/nhess-21-1467-2021
- Rockfall impacts on the road network of the Metropolitan Area of Rome: a risk prioritisation framework for decision-makers G. Marmoni et al. https://doi.org/10.1016/j.ijdrr.2026.106182
- A Modeling Comparison of Groundwater Potential Mapping in a Mountain Bedrock Aquifer: QUEST, GARP, and RF Models D. Davoudi Moghaddam et al. https://doi.org/10.3390/w12030679
- How can statistical and artificial intelligence approaches predict piping erosion susceptibility? M. Hosseinalizadeh et al. https://doi.org/10.1016/j.scitotenv.2018.07.396
- A spatiotemporal analysis using expert-weighted indicators for assessing social resilience to natural hazards A. Jaafari et al. https://doi.org/10.1016/j.scs.2023.105051
- Future protective forests: a regional forecast on potential natural conditions of woody species impacted by climate change along the Austrian railway corridor H. Mueller et al. https://doi.org/10.3389/frsus.2026.1709035
- A comparison of annual streamflow sensitivities to vegetation change and climate variability in fourteen large watersheds along climate zones in China Y. Hou et al. https://doi.org/10.1016/j.catena.2023.107571
- Navigating One Health impacts of rugged terrain: challenges and opportunities Y. Cao et al. https://doi.org/10.1093/biosci/biaf126
- The effect of climate change on landslide probability in Germany K. Nissen et al. https://doi.org/10.1007/s10346-025-02555-2
- Derivation of canonical total-sequences triggering landslides and floodings in complex terrain K. Enigl et al. https://doi.org/10.1016/j.advwatres.2019.04.018
- Bayesian back analysis of unsaturated hydraulic parameters for rainfall-induced slope failure: A review H. Yang & L. Zhang https://doi.org/10.1016/j.earscirev.2024.104714
- Past and future changes of the Austrian climate – Importance for tourism M. Olefs et al. https://doi.org/10.1016/j.jort.2021.100395
- Implications of climate change for railway infrastructure E. Palin et al. https://doi.org/10.1002/wcc.728
- Enhancing snow avalanche susceptibility assessment with meta-heuristic optimization and deep learning algorithms A. Ghayur Sadigh et al. https://doi.org/10.1007/s13762-025-06387-4
- National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. https://doi.org/10.1016/j.enggeo.2024.107474
- Impact of GDP growth on the ecological footprint: Theoretical and empirical evidence from Saudi Arabia F. Alruweili https://doi.org/10.21833/ijaas.2023.05.015
- Climate change increases the number of landslides at the juncture of the Alpine, Pannonian and Mediterranean regions M. Jemec Auflič et al. https://doi.org/10.1038/s41598-023-50314-x
- Landslides, a Key Landform in the Global Geological Heritage C. Morino et al. https://doi.org/10.3389/feart.2022.864760
- Toward the development of deep learning analyses for snow avalanche releases in mountain regions Y. Chen et al. https://doi.org/10.1080/10106049.2021.1986578
- A decrease in rockfall probability under climate change conditions in Germany K. Nissen et al. https://doi.org/10.5194/nhess-23-2737-2023
- Understanding the spatial patterns of major geo-hydrological disasters in Italy using the CatBoost algorithm S. Segoni et al. https://doi.org/10.1016/j.scitotenv.2025.180355
- Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change Q. Lin et al. https://doi.org/10.1029/2023EF003741
- Landslide susceptibility methodology for railway planning: a comparative analysis of statistical and machine learning methods in a case study of Marche region, Italy R. Rani et al. https://doi.org/10.1016/j.trgeo.2025.101731
- Towards a holistic assessment of landslide susceptibility models: insights from the Central Eastern Alps M. Schlögl et al. https://doi.org/10.1007/s12665-024-12041-y
- Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping B. Pham et al. https://doi.org/10.1016/j.catena.2020.104805
- Classifying climate-related failures for regional-national railway networks A. Karbalaie et al. https://doi.org/10.1016/j.crm.2025.100764
- Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change Q. Lin et al. https://doi.org/10.1016/j.scitotenv.2022.158049
- Mass movement hazard & global climate change: Physical-deterministic modelling study of the rest and be thankful pass, Scotland UK N. Klaver et al. https://doi.org/10.1016/j.geomorph.2023.108979
- Climate change impacts assessment on railway infrastructure in urban environments A. Kasraei et al. https://doi.org/10.1016/j.scs.2023.105084
- How will the projected climate change influence rainfall-induced landslides in Europe? A review of modelling approaches S. Gariano & G. Rianna https://doi.org/10.1007/s10346-025-02550-7
- Railway Transport Adaptation Strategies to Climate Change at High Latitudes: A Review of Experience from Canada, Sweden and China E. Kostianaia & A. Kostianoy https://doi.org/10.2478/ttj-2023-0016
- Climate change risks on railway infrastructure: A systematic review and analysis E. Haghighi et al. https://doi.org/10.1016/j.scs.2025.106504
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Short summary
Reliable information on the extent of climate change and its projected future impacts on transport infrastructure is of prime importance for the smooth functioning of societies. Rainfall events which may trigger landslides are analysed until the end of this century and compared to present-day conditions. Results indicate overall increases of landslide activity, especially in areas with structured terrain. Derived findings support proactive adaptation to rainfall-induced landslide exposure.
Reliable information on the extent of climate change and its projected future impacts on...
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