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Smart city article details
| Title | Cataloging And Testing Flood Risk Management Measures To Increase The Resilience Of Critical Infrastructure Networks |
|---|---|
| ID_Doc | 13472 |
| Authors | Schotten R.; Bachmann D. |
| Year | 2024 |
| Published | Smart Cities, 7, 5 |
| DOI | http://dx.doi.org/10.3390/smartcities7050117 |
| Abstract | Highlights: The paper’s relevance to the Smart Cities journal lies in its focus on enhancing the resilience and sustainability of critical infrastructure (CI) networks against flooding. It introduces advanced CI network modeling methods to evaluate natural hazards and addresses the gap between analytical methods and practical, multi-sectoral flood measures. The research compiles a comprehensive flood measure catalog through stakeholder interviews and literature review, tailored to various CI sectors. A proof-of-concept study validates the catalog, demonstrating its practical applicability. By considering disruption duration and recovery capability, the study links risk and resilience, contributing to all phases of the disaster risk management cycle. This interdisciplinary approach and practical focus make the study highly pertinent for smart city research and implementation. What are the main findings? Flood Mitigation Measures need to be collected systematically to utilize the benefits of critical infrastructure network models for flood risk management. What is the implication of the main finding? Enhanced Decision-Making and Coordination: Systematically collecting flood mitigation measures enables more informed decision-making and fosters intersectoral coordination, ensuring effective and context-appropriate flood risk management strategies across various CI sectors. Improved Resilience and Resource Optimization: This approach enhances the resilience of CI networks to flooding events and optimizes resource allocation by identifying the most cost-effective and efficient mitigation measures, supporting robust policy development and implementation. Critical infrastructure (CI) networks face diverse natural hazards, such as flooding. CI network modeling methods are used to evaluate these hazards, enabling the analysis of cascading effects, flood risk, and potential flood risk-reducing measures. However, there is a lack of linkage between analytical methods and potential multisectoral, structural, and nonstructural measures. This deficiency impedes the development of CI network (CIN) models as robust tools for active flood risk management. CI operators have significant expertise in managing and implementing flooding-related measures within their sectors. The objective of this study is to bridge the gap between the application of CIN modeling and the consideration of flood measures in three steps. The first step is conducting a literature review and CI stakeholder interviews in Central Europe on flood measures. The second step is the culmination of the findings in a comprehensive catalog detailing flood measures tailored to five CI sectors, with a generalized category spanning each phase of the disaster risk management cycle. The third step is the validation of the catalog’s utility in a proof-of-concept study along the Vicht River in Western Germany with a model-based flood risk analysis of five flood measures. The application of the flood measure catalog improves the options available for active and residual flood risk management. Additionally, the CI flood risk modeling approach presented here allows for consideration of disruption duration and recovery capability, thus linking the concept of risk and resilience. © 2024 by the authors. |
| Author Keywords | critical infrastructure networks; disaster risk reduction; flood risk management; flood risk measures; infrastructure resilience |
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