Fischer, Kai and Tang, Jet Hoe and Lüttner, Florian and Eberhardt, Daniel and Vomstein, Robin (2025) Data-driven Municipal Resilience Quantification for Extreme Weather Events – Application of Dataspace Functionalities for Disaster Management. URBAN INNOVATION: TO BOLDLY GO WHERE NO CITIES HAVE GONE BEFORE. Medium sized cities and towns as a major arena of global urbanisation. Proceedings of REAL CORP 2025, 30th Intl. Conference on Urban Development, Regional Planning and Information Society. pp. 1085-1090. ISSN 2521-3938
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Text (Data-driven Municipal Resilience Quantification for Extreme Weather Events – Application of Dataspace Functionalities for Disaster Management)
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Abstract
The climate change led to extreme weather events that can cause extensive catastrophes. The consequeneces for urban areas and municipalities have become much more complex and requires an assessment and an increase of their resilience. Reliable information builds the basis for decision maker to be prepared and to get in front of the situation in case of an event occurrence. But the availability and the structure of data sources include also an increasing complexity. This paper presents a developed dataspace concept for a data-driven resilience assessment of urban areas or municipalities. Different sources like social data, infrastructure networks, building models, financial assests as well as weather data are combined for a extensive data analysis. Statistical and stochastic methods are applied to generate an understanding between the cause and the effect with respect to extreme weather events. The data analysis is applied to quantify urban key performance indicators for the disaster management. Examples are the availability, usability or the expected damage. The dataspace concept allows an assessment before, during and after the occurrence of a disruptive event. Single resilience phases, like preparation, prevention, protection, response and recover can be easily characterized. The methodology identifies potential weak spots and increases the coping capacity. Several use-cases for different urban areas and municipalities are presented and underline the applicability. Heavy rain and flood events are exemplary investigated.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | dataspace, extreme weather, disaster management, resilience, data analysis |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences J Political Science > JS Local government Municipal government |
| Depositing User: | The CORP Team |
| Date Deposited: | 24 May 2025 14:18 |
| Last Modified: | 07 Jul 2025 09:31 |
| URI: | http://repository.corp.at/id/eprint/1224 |
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