Articles | Volume 20, issue 5
https://doi.org/10.5194/nhess-20-1421-2020
© 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-20-1421-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Network-risk: an open GIS toolbox for estimating the implications of transportation network damage due to natural hazards, tested for Bucharest, Romania
National Institute for Earth Physics, Măgurele, Ilfov, 077125, Romania
Iuliana Armas
Faculty of Geography, University of Bucharest, Bucharest, 010041,
Romania
Alexandru Tiganescu
National Institute for Earth Physics, Măgurele, Ilfov, 077125, Romania
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Cited
22 citations as recorded by crossref.
- Multi-hazard risk assessment analysis in La Palma: an approach for risk mitigation N. Martín-Raya et al. 10.1186/s40677-024-00296-3
- Probabilistic assessment of road accessibility under cascading hazards J. Moratalla & S. Uma 10.1016/j.ijdrr.2023.103692
- Probabilistic Joint Importance-Based Retrofit Strategy for Seismic Risk Mitigation of Transportation Networks K. Liu et al. 10.3390/app12189307
- Assessing dynamic congestion risks of flood-disrupted transportation network systems through time-variant topological analysis and traffic demand dynamics X. Lin et al. 10.1016/j.aei.2024.102672
- Hazard and risk assessment for early phase road planning in Norway A. Solheim et al. 10.1007/s11069-022-05729-6
- Assessing the earthquake systemic vulnerability of the urban centres in the South-East region of Romania. The tale of Galați and Brăila Cities, Romania A. Albulescu et al. 10.1080/19475705.2022.2065219
- Post-Earthquake Functionality Assessment of Urban Road Network Considering Emergency Response K. Liu et al. 10.1080/13632469.2022.2113001
- Vulnerability of Road Transportation Networks: A Bibliometric Analysis S. Hassan et al. 10.2139/ssrn.4002940
- Exploring the road icing risk: considering the dependence of icing-inducing factors Q. Liu et al. 10.1007/s11069-022-05632-0
- Earthquake-induced landslide hazard assessment in the Vrancea Seismic Region (Eastern Carpathians, Romania): Constraints and perspectives M. Micu et al. 10.1016/j.geomorph.2023.108635
- A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light Information L. Wang et al. 10.3390/app14062325
- Preface: Natural hazard impacts on technological systems and infrastructures E. Petrova & M. Bostenaru Dan 10.5194/nhess-20-2627-2020
- 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
- An auxiliary framework to facilitate earthquake search and rescue operations in urban regions M. Yousefi et al. 10.1007/s11069-024-06619-9
- Network Characteristics and Vulnerability Analysis of Chinese Railway Network under Earthquake Disasters L. Yin & Y. Wang 10.3390/ijgi9120697
- From National to Transnational Seismic Monitoring Products and Services in the Republic of Bulgaria, Republic of Moldova, Romania, and Ukraine A. Mărmureanu et al. 10.1785/0220200393
- SIGeR-RV: A Web-Geographic Information System-Based System for Risk Management of Road Networks Exposed to Natural Hazards A. Chamorro et al. 10.1177/03611981231169532
- Open Source Data-Based Solutions for Identifying Patterns of Urban Earthquake Systemic Vulnerability in High-Seismicity Areas A. Albulescu 10.3390/rs15051453
- Multi-state economic contribution and multi-congressional district impact analysis of an inland waterway disruption K. Welch et al. 10.1016/j.cstp.2023.101043
- Time-Dependent Framework for Analyzing Emergency Intervention Travel Times and Risk Implications due to Earthquakes. Bucharest Case Study D. Toma-Danila et al. 10.3389/feart.2022.834052
- Development of black ice prediction model using GIS-based multi-sensor model validation S. Hong et al. 10.5194/nhess-22-3435-2022
- Vulnerability of road transportation networks under natural hazards: A bibliometric analysis and review S. Hassan et al. 10.1016/j.ijdrr.2022.103393
22 citations as recorded by crossref.
- Multi-hazard risk assessment analysis in La Palma: an approach for risk mitigation N. Martín-Raya et al. 10.1186/s40677-024-00296-3
- Probabilistic assessment of road accessibility under cascading hazards J. Moratalla & S. Uma 10.1016/j.ijdrr.2023.103692
- Probabilistic Joint Importance-Based Retrofit Strategy for Seismic Risk Mitigation of Transportation Networks K. Liu et al. 10.3390/app12189307
- Assessing dynamic congestion risks of flood-disrupted transportation network systems through time-variant topological analysis and traffic demand dynamics X. Lin et al. 10.1016/j.aei.2024.102672
- Hazard and risk assessment for early phase road planning in Norway A. Solheim et al. 10.1007/s11069-022-05729-6
- Assessing the earthquake systemic vulnerability of the urban centres in the South-East region of Romania. The tale of Galați and Brăila Cities, Romania A. Albulescu et al. 10.1080/19475705.2022.2065219
- Post-Earthquake Functionality Assessment of Urban Road Network Considering Emergency Response K. Liu et al. 10.1080/13632469.2022.2113001
- Vulnerability of Road Transportation Networks: A Bibliometric Analysis S. Hassan et al. 10.2139/ssrn.4002940
- Exploring the road icing risk: considering the dependence of icing-inducing factors Q. Liu et al. 10.1007/s11069-022-05632-0
- Earthquake-induced landslide hazard assessment in the Vrancea Seismic Region (Eastern Carpathians, Romania): Constraints and perspectives M. Micu et al. 10.1016/j.geomorph.2023.108635
- A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light Information L. Wang et al. 10.3390/app14062325
- Preface: Natural hazard impacts on technological systems and infrastructures E. Petrova & M. Bostenaru Dan 10.5194/nhess-20-2627-2020
- 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
- An auxiliary framework to facilitate earthquake search and rescue operations in urban regions M. Yousefi et al. 10.1007/s11069-024-06619-9
- Network Characteristics and Vulnerability Analysis of Chinese Railway Network under Earthquake Disasters L. Yin & Y. Wang 10.3390/ijgi9120697
- From National to Transnational Seismic Monitoring Products and Services in the Republic of Bulgaria, Republic of Moldova, Romania, and Ukraine A. Mărmureanu et al. 10.1785/0220200393
- SIGeR-RV: A Web-Geographic Information System-Based System for Risk Management of Road Networks Exposed to Natural Hazards A. Chamorro et al. 10.1177/03611981231169532
- Open Source Data-Based Solutions for Identifying Patterns of Urban Earthquake Systemic Vulnerability in High-Seismicity Areas A. Albulescu 10.3390/rs15051453
- Multi-state economic contribution and multi-congressional district impact analysis of an inland waterway disruption K. Welch et al. 10.1016/j.cstp.2023.101043
- Time-Dependent Framework for Analyzing Emergency Intervention Travel Times and Risk Implications due to Earthquakes. Bucharest Case Study D. Toma-Danila et al. 10.3389/feart.2022.834052
- Development of black ice prediction model using GIS-based multi-sensor model validation S. Hong et al. 10.5194/nhess-22-3435-2022
- Vulnerability of road transportation networks under natural hazards: A bibliometric analysis and review S. Hassan et al. 10.1016/j.ijdrr.2022.103393
Latest update: 14 Nov 2024
Short summary
Natural hazards have an increasing impact on transportation networks. In order to analyze it we developed Network-risk – an open toolbox for ArcGIS. The toolbox links input data such as network datasets (also OpenStreetMap – OSM – data), traffic values or segments which can be affected, determining the difficulty to reach an area and enabling evaluation of socioeconomic implications. By testing Network-risk for Bucharest we show areas difficult to reach by emergency units in earthquakes.
Natural hazards have an increasing impact on transportation networks. In order to analyze it we...
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