Articles | Volume 19, issue 2
https://doi.org/10.5194/nhess-19-399-2019
© Author(s) 2019. 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-19-399-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2019
Research article |
| 28 Feb 2019
| 28 Feb 2019
Integrated risk assessment due to slope instabilities in the roadway network of Gipuzkoa, Basque Country
Olga Mavrouli
CORRESPONDING AUTHOR
Faculty of Geo-Information Science and Earth Observation (ITC),
University of Twente, Enschede, the Netherlands
formerly at: Department of
Civil and Environmental Engineering, Technical University of
Catalonia-BarcelonaTech (UPC), Barcelona, Spain
Jordi Corominas
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Technical
University of Catalonia-BarcelonaTech (UPC), Barcelona, Spain
Iñaki Ibarbia
Ikerlur, S.L., San Sebastián (Donostia), Spain
Nahikari Alonso
LKS Ingeniería, S. Coop., Arrasate/Mondragón, Spain
Ioseba Jugo
Ikerlur, S.L., San Sebastián (Donostia), Spain
Jon Ruiz
LKS Ingeniería, S. Coop., Arrasate/Mondragón, Spain
Susana Luzuriaga
Diputación Foral de Gipuzkoa – Gipuzkoako Foru Aldundia,
San Sebastián (Donostia), Spain
José Antonio Navarro
Diputación Foral de Gipuzkoa – Gipuzkoako Foru Aldundia,
San Sebastián (Donostia), Spain
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Cited
19 citations as recorded by crossref.
- Quantitative analysis of the risk to road networks exposed to slow-moving landslides: a case study in the Campania region (southern Italy) S. Ferlisi et al. 10.1007/s10346-020-01482-8
- Total probabilistic measure for the potential risk of regional roads exposed to landslides Q. Liu et al. 10.1016/j.ress.2022.108822
- Risk Assessment of Resources Exposed to Rainfall Induced Landslide with the Development of GIS and RS Based Ensemble Metaheuristic Machine Learning Algorithms J. Mallick et al. 10.3390/su13020457
- Landslide risk of regional roads: Consider the road mileage of expected losses Q. Liu et al. 10.1016/j.trd.2023.103771
- Landslides in Tijuana, Mexico: hazard assessment in an urban neighborhood A. Oliva González et al. 10.14483/22487638.17882
- Landslide hazard probability and risk assessment at the community level: a case of western Hubei, China S. Fu et al. 10.5194/nhess-20-581-2020
- Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas N. Nappo et al. 10.1016/j.enggeo.2021.106363
- Developing a probability-based technique to improve the measurement of landslide vulnerability on regional roads Q. Liu et al. 10.1016/j.ress.2023.109918
- Slow-moving landslides interacting with the road network: Analysis of damage using ancillary data, in situ surveys and multi-source monitoring data N. Nappo et al. 10.1016/j.enggeo.2019.105244
- A Deep Learning Model for Road Damage Detection After an Earthquake Based on Synthetic Aperture Radar (SAR) and Field Datasets S. Karimzadeh et al. 10.1109/JSTARS.2022.3189875
- Disaster resilience assessment based on the spatial and temporal aggregation effects of earthquake-induced hazards B. Liu et al. 10.1007/s11356-020-09281-3
- A review of advanced pavement distress evaluation techniques using unmanned aerial vehicles M. Manjusha & V. Sunitha 10.1080/10298436.2023.2268796
- Small-scale analysis to rank municipalities requiring slow-moving landslide risk mitigation measures: the case study of the Calabria region (southern Italy) G. Gullà et al. 10.1186/s40677-021-00202-1
- Combining Statistical, Displacement and Damage Analyses to Study Slow-Moving Landslides Interacting with Roads: Two Case Studies in Southern Italy G. Pecoraro et al. 10.3390/app13053368
- Toward a Plausible Methodology to Assess Rock Slope Instabilities at a Regional Scale D. Sotiriadis et al. 10.3390/geosciences13040098
- Experimental investigation of masonry building damage caused by surface tension cracks on slow-moving landslides Q. Chen et al. 10.1007/s11069-023-06141-4
- Simulation of Full-Scale Rockfall Tests with a Fragmentation Model G. Matas et al. 10.3390/geosciences10050168
- Spatial Prediction of Landslides Using Hybrid Multi-Criteria Decision-Making Methods: A Case Study of the Saqqez-Marivan Mountain Road in Iran R. Tavakolifar et al. 10.3390/land12061151
- Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain) T. Bornaetxea et al. 10.1007/s11069-023-06103-w
19 citations as recorded by crossref.
- Quantitative analysis of the risk to road networks exposed to slow-moving landslides: a case study in the Campania region (southern Italy) S. Ferlisi et al. 10.1007/s10346-020-01482-8
- Total probabilistic measure for the potential risk of regional roads exposed to landslides Q. Liu et al. 10.1016/j.ress.2022.108822
- Risk Assessment of Resources Exposed to Rainfall Induced Landslide with the Development of GIS and RS Based Ensemble Metaheuristic Machine Learning Algorithms J. Mallick et al. 10.3390/su13020457
- Landslide risk of regional roads: Consider the road mileage of expected losses Q. Liu et al. 10.1016/j.trd.2023.103771
- Landslides in Tijuana, Mexico: hazard assessment in an urban neighborhood A. Oliva González et al. 10.14483/22487638.17882
- Landslide hazard probability and risk assessment at the community level: a case of western Hubei, China S. Fu et al. 10.5194/nhess-20-581-2020
- Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas N. Nappo et al. 10.1016/j.enggeo.2021.106363
- Developing a probability-based technique to improve the measurement of landslide vulnerability on regional roads Q. Liu et al. 10.1016/j.ress.2023.109918
- Slow-moving landslides interacting with the road network: Analysis of damage using ancillary data, in situ surveys and multi-source monitoring data N. Nappo et al. 10.1016/j.enggeo.2019.105244
- A Deep Learning Model for Road Damage Detection After an Earthquake Based on Synthetic Aperture Radar (SAR) and Field Datasets S. Karimzadeh et al. 10.1109/JSTARS.2022.3189875
- Disaster resilience assessment based on the spatial and temporal aggregation effects of earthquake-induced hazards B. Liu et al. 10.1007/s11356-020-09281-3
- A review of advanced pavement distress evaluation techniques using unmanned aerial vehicles M. Manjusha & V. Sunitha 10.1080/10298436.2023.2268796
- Small-scale analysis to rank municipalities requiring slow-moving landslide risk mitigation measures: the case study of the Calabria region (southern Italy) G. Gullà et al. 10.1186/s40677-021-00202-1
- Combining Statistical, Displacement and Damage Analyses to Study Slow-Moving Landslides Interacting with Roads: Two Case Studies in Southern Italy G. Pecoraro et al. 10.3390/app13053368
- Toward a Plausible Methodology to Assess Rock Slope Instabilities at a Regional Scale D. Sotiriadis et al. 10.3390/geosciences13040098
- Experimental investigation of masonry building damage caused by surface tension cracks on slow-moving landslides Q. Chen et al. 10.1007/s11069-023-06141-4
- Simulation of Full-Scale Rockfall Tests with a Fragmentation Model G. Matas et al. 10.3390/geosciences10050168
- Spatial Prediction of Landslides Using Hybrid Multi-Criteria Decision-Making Methods: A Case Study of the Saqqez-Marivan Mountain Road in Iran R. Tavakolifar et al. 10.3390/land12061151
- Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain) T. Bornaetxea et al. 10.1007/s11069-023-06103-w
Latest update: 26 Apr 2024
Short summary
A methodology is proposed for the quantitative risk assessment of roadways subjected to rockfalls, retaining wall failures, and slow moving landslides. It includes the calculation of the probability of occurrence of each hazard with a given level, based on an extensive collection of field data, and its association with the consequences. The latter was assessed considering the road damage repair cost for each level in terms of a fixed unit cost.
A methodology is proposed for the quantitative risk assessment of roadways subjected to...
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