Abstract
Consequences of climate change, like more frequent extreme weather events, are major challenges for urban areas. With diverse approaches for adaptation strategy development available to cities, comparability with respect to risks, vulnerabilities, and adaptation options is limited. The lack of standardized methods and approaches to prioritize and select appropriate adaptation options restricts the exchange of best practices between cities.
This paper presents the application of a vulnerability analysis for the city of Bratislava, Slovakia. It describes how the approach was employed to analyze the effects extreme precipitation has on the road network and reports on how different stakeholders were involved in the process, how relevant data was employed for the assessment, and which results were produced. Based on this process description, typical problems, resulting method adaptations, and lessons learned are described.
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Notes
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Attributes are inherent characteristics of the objects under analysis, such as sensitivity and coping capacity; they are the basis for determining indicators.
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Acknowledgments
This paper is based in part upon work in the framework of the projects “RESIN – Climate Resilient Cities and Infrastructures” and “ARCH – Advancing Resilience of historic areas against Climate-related and other Hazards”. These projects have received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement nos. 653522 and 820999. The sole responsibility for the content of this publication lies with the authors. It does not necessarily represent the opinion of the European Union. Neither the EASME nor the European Commission are responsible for any use that may be made of the information contained therein.
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Lückerath, D., Streberová, E., Bogen, M., Rome, E., Ullrich, O., Pauditsová, E. (2020). Climate Change Impact and Vulnerability Analysis in the City of Bratislava: Application and Lessons Learned. In: Nadjm-Tehrani, S. (eds) Critical Information Infrastructures Security. CRITIS 2019. Lecture Notes in Computer Science(), vol 11777. Springer, Cham. https://doi.org/10.1007/978-3-030-37670-3_7
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