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A regional-scale approach to assessing non-residential building, transportation and cropland exposure in Central Asia

Chiara ScainiNational Institute of Oceanography and Applied Geophysics – OGS, Trieste, 34100, ItalyAlberto TamaroNational Institute of Oceanography and Applied Geophysics – OGS, Trieste, 34100, ItalyBaurzhan AdilkhanInstitute of Seismology, Ministry of Emergency Situations, Almaty, 050060/A15E3F9, KazakhstanSatbek SarzhanovInstitute of Seismology, Ministry of Emergency Situations, Almaty, 050060/A15E3F9, KazakhstanZukhritdin ErgashevTashkent State Transport University, Tashkent, UzbekistanRuslan UmaralievInstitute of Seismology, National Academy of Sciences of the Kyrgyz Republic, Bishkek, 720060, Kyrgyz RepublicMustafo SafarovВ. В. БеликовJapar KarayevEttore FagàRED Risk Engineering + Development, Pavia, 27100, Italy
ABI

Аннотация

Abstract. Critical infrastructure has a paramount role in socio-economic development, and its disruption can have dramatic consequences for human communities, including cascading impacts. Assessing critical-infrastructure exposure to multiple hazard is therefore of utmost importance for disaster risk reduction purposes. However, past efforts in exposure assessment have predominantly concentrated on residential buildings, often overlooking the unique characteristics of critical infrastructure. Knowing the location, type and characteristics of critical infrastructure is particularly challenging due to the overall scarcity of data and difficulty of interacting with local stakeholders. We propose a method to assess exposure of selected critical infrastructure and demonstrate it for Central Asia, a region prone to multiple hazards (e.g., floods, earthquakes, landslides). We develop the first regionally consistent exposure database for selected critical infrastructure and asset types (namely, non-residential buildings, transportation and croplands), assembling the available global and regional datasets together with country-based information provided by local authorities and research groups, including reconstruction costs. The method addresses the main known challenges related to exposure assessment of critical infrastructure (i.e., data scarcity, difficulties in interacting with local stakeholders) by collecting national-scale data with the help of local research groups. The analysis also includes country-based reconstruction costs, supporting regional-scale disaster risk reduction strategies that include the financial aspect.

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