Network-risk: an open GIS toolbox for estimating the implications of transportation network damage due to natural hazards, tested for Bucharest, Romania

Toma-Dănilă, Dragoş; Armaş, Iuliana; Tiganescu, Alexandru

doi:10.5194/nhess-20-1421-2020

Cited by 23 publications

(11 citation statements)

References 35 publications

(35 reference statements)

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“…This procedure could be also relevant for multiple routes calculated between affected buildings and closest hospitals or fire stations, as it was done in Toma-Danila et al (2020).…”

Section: Results For Bucharestmentioning

confidence: 99%

“…-OpenStreetMap (OSM) vector road network of Bucharest and surroundings (Figure 2) from October 2021, downloaded from the Geofabrik GIS Data Portal (http:// download.geofabrik.de) and reprocessed in ArcGis Network Analyst format through an almost fully automated procedure described in the Network-risk toolbox manual (Toma-Danila and Tiganescu, 2021). Compared to our previous studies (Toma-Danila et al, 2020 or;Toma-Danila, 2018), which used OSM road data from January 2016, October 2021 data has some important additions such as the A3 highway, the Nicolae Grigorescu passage or the Ciurel Passage. The chosen road network extent is also larger, allowing the analysis of many cities close to Bucharest, with significant dependencies on it.…”

Section: Input Data For Bucharestmentioning

confidence: 96%

“…The analysis, which will contribute to a new version of the Network-Risk toolbox (with the previous presented in Toma-Danila et al, 2020), is built upon ArcGIS with the Network Analyst extension. Its objective is the improvement of emergency intervention management in Romania, reflecting the need for less vulnerable and new hospitals, seismic retrofitting of residential buildings and traffic management planning in post-earthquake situations but also in typical conditions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Time-Dependent Framework for Analyzing Emergency Intervention Travel Times and Risk Implications due to Earthquakes. Bucharest Case Study

et al. 2022

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Earthquakes can generate a significant number of casualties within seconds, as well as high economic losses. The lack of rapid and coordinated emergency intervention can contribute to much greater losses. In this paper we develop a framework taking advantage of the ArcGis Network Analyst extension, able to account for post-earthquake conditions and reflect travel times. By combining 1) network characteristics with 2) direct seismic damage information, 3) models to determine road obstruction potential, 4) traffic information and time-dependent post-earthquake modeling but also 5) emergency intervention facilities (hospitals or fire stations) and considerations regarding their functional limitations, this framework can provide important support for the management of emergency intervention but also for risk reduction planning. Main results consist of maps showing travel times for various scenarios and moments after an earthquake, inaccessible areas, vital roads for access or an identification of important facilities. As case study we chose Bucharest, one of Europe’s most endangered capitals considering the seismic risk level. The city was and could be considerably affected by earthquakes in the Vrancea Seismic Zone, being characterized by a high number of vulnerable buildings and by one of the greatest typical traffic congestion levels in the world. Compared to previous network studies for Bucharest, the new approach is more complex and customable, providing means for real-time integration and time-dependent analysis. Results, for a worst-case scenario, prove that the risks could be even greater than expected, but also what should be done to mitigate them, such as the construction of a new hospital in the western part of the city, ensuring safe delimited routes for emergency vehicles or expanding the treatment capacity of actual hospitals—some of which also need seismic retrofitting. Results of this study will be integrated in the revised version of the National Conception for Post-Earthquake Response—an operational framework which will lead to risk mitigation through the improvement of post-disaster reaction.

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“…This procedure could be also relevant for multiple routes calculated between affected buildings and closest hospitals or fire stations, as it was done in Toma-Danila et al (2020).…”

Section: Results For Bucharestmentioning

confidence: 99%

Section: Input Data For Bucharestmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Time-Dependent Framework for Analyzing Emergency Intervention Travel Times and Risk Implications due to Earthquakes. Bucharest Case Study

et al. 2022

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“…For the case application in this study, the icing hazard in the study area during this period determined by the exceeding probability mainly involves three zones (Table 6). As GIS has an outperformed spatial analysis ability, it is used here for the icing-hazard zoning, which can improve the accuracy of hazard assessment (Toma-Danila et al, 2020). Moreover, under the condition that the highway vulnerability remains unchanged, the spatial overlap about 0 250 500 125 km Vulnerability grade Grade Ⅰ Grade Ⅱ Grade Ⅲ…”

Section: Risk Applicationmentioning

confidence: 99%

Exploring the Highway Icing Risk: Considering the Dynamic Dependence of Icing-Inducing Factors

Liu¹,

Tang²,

Wang³

et al. 2021

Preprint

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In terms of the dynamic dependence between icing-inducing factors, this study is to explore the risk distribution of highways when icing events occur in the study area. A joint distribution considering the dynamic correlation of inducing factors was first constructed employing the Copula theory, which then yielded the possibility of icing events. Meanwhile, hazard zones and intensities of icing were proposed under different exceeding probabilities. After finishing the vulnerability analysis of highways, the risk matrix was used to conduct the icing risk for the highway, which was then applied to the construction of the risk zoning map. The results showed that there was an upper-tail dependence between extreme precipitation and temperature in the study area in winter, which could be well captured by the Gumbel Copula function. Indeed, the constructed joint distribution can express the possibility of icing under different intensities of precipitation and temperature. Besides, the highway with the tallest vulnerability in the study area was the Hegang-Yichun line. The case application showed that during March 2020, the traffic lines with a high icing risk were distributed around Fujin, Jiamusi, Hegang, and Qitaihe cities, and the Hegang section of the Hegang-Yichun line was at the highest icing risk. The low-risk lines were concentrated in the western part of the study area. This study is of great significance for the prevention and control of ice-snow disasters on the highway in cold regions.

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“…There is also some literature on the vulnerability of railway network in Europe. These studies focus on the mechanism of disaster occurrence, and the vulnerability of transportation network is obtained through overlap analysis of hazardous areas and transportation network under a single network [42][43][44].…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

Network Characteristics and Vulnerability Analysis of Chinese Railway Network under Earthquake Disasters

Yin

2020

IJGI

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The internal structure and operation rules of railway network have become increasingly complex along with the expansion of the network, putting a higher demand on the development of the railway and the reliability and adaptability of the railway under earthquake disasters. The theory and method concerning complex railway network can well capture the internal structure of railway facilities system and the relationship between subsystems. However, most of the research focuses on the vulnerability based on the logical network of railway, deviating from the actual spatial location of railway network. Additionally, only random attacks and deliberate attacks are factored in, ignoring the impact of earthquake disasters on actual railway lines. Therefore, this paper built a geographic railway network and analyzed topological structure of the network and its vulnerability under earthquake disasters. First, the geographic network of Chinese railway was built based on the methods of complex network, linear reference and dynamic segmentation. Second, the spatial distribution of railway network flow was analyzed by node degree, betweenness and clustering coefficient. Finally, the vulnerability of the geographic railway network in areas with high seismic hazards were assessed, aiming to improve the capacity to prevent and resist earthquake disasters.

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Network-risk: an open GIS toolbox for estimating the implications of transportation network damage due to natural hazards, tested for Bucharest, Romania

Cited by 23 publications

References 35 publications

Time-Dependent Framework for Analyzing Emergency Intervention Travel Times and Risk Implications due to Earthquakes. Bucharest Case Study

Time-Dependent Framework for Analyzing Emergency Intervention Travel Times and Risk Implications due to Earthquakes. Bucharest Case Study

Exploring the Highway Icing Risk: Considering the Dynamic Dependence of Icing-Inducing Factors

Network Characteristics and Vulnerability Analysis of Chinese Railway Network under Earthquake Disasters

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