Risk Evaluation Decision-aiding Approach (RED-M)
| Autor: | Onencan, Abby Muricho, Liu, Lian Ena, Van de Walle, Bartel |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| DOI: | 10.5281/zenodo.3767446 |
| Popis: | Research indicates that different contexts require different risk evaluation approaches. There is limited research on the most feasible risk evaluation approach for a specific complex social-technical context. Also, there is limited guidance on how to develop a methodology to identify the best risk evaluation approach for a specific social-technical context. We develop the risk evaluation decision-aiding methodology that helps identify the best risk evaluation approach for Solotvyno. Solotvyno is a small village situated on the border of Ukraine that faces the risk of land subsidence due to the flooding of the salt domes. In order to identify the most suitable approach, we reviewed multiple existing approaches. After an intensive literature review, we arrived at four possible risk evaluation approaches, namely: German Advisory Council on Global Change (WBGU), the Th. Plattner approach, The predictive, Bayesian risk classification scheme(PBRC Scheme) and the Pollard approach. We made comparisons between the different approaches. After analysing each approach, we concluded that the two approaches: WBGU and PBRC, are the most suitable in the case of Solotvyno. Future research will entail applying one of the recommended approaches in Solotvyno municipality and assessing the feasibility of the decision-aiding methodology to select a viable risk evaluation approach. This research is part of the ImProDiReT project, which is funded by the European Union Civil Protection, under grant agreement No. 783232. The research furthermore has been made possible by the partners in the ImProDiReT project facilitating the local contacts, providing background information and additional insights. We thank the Regional Development Agency of Zakarpattia, Ukraine, the Resilience Advisors Network and Institute of Geological Sciences of the National Academy of Sciences of Ukraine for their support. |
| Databáze: | OpenAIRE |
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