The Felbertauern landslide of 2013 in Austria: Impact on transport networks, regional economy and policy decisions

Pfurtscheller, Clemens; Genovese, Elisabetta

doi:10.1016/j.cstp.2019.05.003

Cited by 10 publications

(7 citation statements)

References 18 publications

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“…The floods destroy farmlands and damage crops especially root tubers (NEMA, 2017). The direct costs of landslide disasters include damage to property and infrastructures (KIRSCHBAUM PFURTSCHELLER, 2018). Similarly, this study established that landslides destroy socio-economic infrastructure especially roads.…”

Section: Socio Economic Implications Of Landslidesmentioning

confidence: 68%

“…An increase in the occurrence of damaging landslides globally has affected human life and caused extensive damage to socio-economic infrastructures and property (MEYER ET AL., 2013). Landslides have resulted in great problems and serious challenges to development processes (KIRSCHBAUM PFURTSCHELLER, 2018). It is estimated that the annual total global economic cost of landslides is approximately 250 billion USD dollars (UNISDR, 2015).…”

Section: Introductionmentioning

confidence: 99%

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The damage caused by landslides in socio-economic spheres within the Kigezi highlands of South Western Uganda

Nseka

Mugagga

Opedes

et al. 2021

Environmental &Amp; Socio-Economic Studies

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An assessment of the socio-economic implications of landslide occurrence in the Kigezi highlands of South Western Uganda was conducted. Landslide occurrence is on the increase and threatens community livelihoods in these highlands. Detailed field investigations were undertaken with the help of local communities between June 2018 and May 2020 to identify and map recent and visible landslide scars in Rukiga uplands of Kigezi highlands. In the course of field inventories, 85 visible landslide scars were identified and mapped using handheld GPS receivers to produce a landslide distribution map for the study area. A socio-economic analysis was conducted to establish the effects of landslide damage on people’s livelihoods as well as their existing coping and adaptation mechanisms. The assessment was administered through field observations and surveying, focus group discussions, key informants and household interviews as well as the use of Local Government Environmental Reports. The study established an increase in the spatial-temporal distribution of landslides over the Kigezi highlands in the past 40 years. The landslides have resulted in a reduction in the quality of land, loss of lives, destruction of transport infrastructures, settlements, farmlands, crops and other socio-economic infrastructures. Therefore, it is important to look for reliable and sustainable measures to prevent landslide hazards. Total landscape reforestation with deep-rooted trees can possibly reduce the landslide risk. It is also important to undertake policy implementation for preparedness and mitigation plans against landslides in this region and in the country at large. Proper soil and water conservation measures could help in enhancing soil strength against landslide hazards.

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Section: Socio Economic Implications Of Landslidesmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

The damage caused by landslides in socio-economic spheres within the Kigezi highlands of South Western Uganda

Nseka

Mugagga

Opedes

et al. 2021

Environmental &Amp; Socio-Economic Studies

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“…Among them, A i represents the relevant value (output value or number of employees) of a certain industry in the i region, B i represents the relevant value (output value or number of employees) of a certain industry in all regions, and N is the total number of enterprises in the industry in all regions [35].…”

Section: ) Herfindahl Coefficientmentioning

confidence: 99%

Impact of Industrial Agglomeration on Regional Economy in a Simulated Intelligent Environment Based on Machine Learning

2021

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The Internet of Things is based on a communication network to automatically receive various information from the natural world. It uses intelligent objects with perception, communication and computers to automatically receive various information from nature. All independently managed physical objects are connected to each other to achieve integrated perception, reliable transmission and intelligent processing, and to establish intelligent information between people and objects, and objects and object service systems. This article mainly introduces the impact of industrial agglomeration on the regional economy in a simulated intelligent environment based on machine learning. This paper proposes a method to detect industrial agglomeration index to analyze industrial agglomeration. Through the establishment of the industrial agglomeration index system, the level of integration of the manufacturing industry in our city was objectively analyzed, and the impact of the integration of manufacturing industry on our city was tested empirically. Finally, the relationship between industrial integration and regional economic development was tested. The experimental results in this paper show that industrial integration in a smart environment based on simulation learning has a significant positive impact on regional economic development. Among them, the level of cooperation between the manufacturing service industry and the manufacturing industry increased by 1%, and the level of regional economic development increased by 0.025%.

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“…In this regard, mitigating damage from debris flows requires an analysis of the physical characteristics as well as a quantitative assessment on whether the buildings are under the impact of such a hazard. In particular, a proper assessment of building vulnerability will lead to more effective risk assessment, emergency management and mitigation measures, and preparedness [18][19][20][21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Building Vulnerability with Varying Distances from Outlet Considering Impact Force of Debris Flow and Building Resistance

Kim

Kwak

2020

Water

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Studies have been conducted to understand the physical characteristics of debris flows and quantitatively assess the vulnerability of the buildings nearby to mitigate damage from debris flow disasters. However, there remains a paucity of research on vulnerability assessments that discuss the impact force of debris flow and building resistance within certain sections, where debris flows spread from an outlet. In this regard, the study assesses the vulnerability of buildings to debris flows while considering the distance from an outlet. For this purpose, it selects the two sites of Chuncheon-shi in Gangwon-do and Cheongju-shi in Chungcheongbuk-do in South Korea, which are widely known for having experienced debris flow damage in 2011 and 2017, respectively. For the sites, the study conducts an inverse analysis through debris flow simulation to understand the physical characteristics of debris flows, including flow depth, flow velocity, and impact force. Then, the study assesses vulnerability by estimating the resistance of the materials of the buildings placed in the range where debris flows spread, which allows the calculation of a vulnerability index that a building material may have and the estimation of a safety distance from the outlet for each material of the buildings in the study sites. The result shows that with an increasing distance from the outlet, the flow depth, velocity, and impact force, which represent debris flow properties, tend to decrease. This again results in vulnerability being gradually reduced. The study also suggests that buildings are exposed to the risk of debris flow disasters at a sections 40 to 60 m from an outlet for wood material construction, 70 to 110 m for brick-masonry material construction, and all sections from an outlet for prefabricated material construction. Based on this result, the vulnerability index is estimated for the wood material (0.85), brick-masonry material (0.58), and prefabricated material (0.003).

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The Felbertauern landslide of 2013 in Austria: Impact on transport networks, regional economy and policy decisions

Cited by 10 publications

References 18 publications

The damage caused by landslides in socio-economic spheres within the Kigezi highlands of South Western Uganda

The damage caused by landslides in socio-economic spheres within the Kigezi highlands of South Western Uganda

Impact of Industrial Agglomeration on Regional Economy in a Simulated Intelligent Environment Based on Machine Learning

Assessment of Building Vulnerability with Varying Distances from Outlet Considering Impact Force of Debris Flow and Building Resistance

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