Development of a multi-sectoral risk and resilience assessment model for smart city: Case study of floods in 2023 in the northeastern part of Slovenia

While smart city systems cover a wide range of different possibilities, the issue of managing natural events, including floods, is becoming increasingly relevant. The aim of this paper is to develop a multi-sectoral risk and resilience assessment (RRA) model, covering energy and digital sectors. This includes a review of the necessary elements of the model, design of the model, and further evaluation of the model on the example of the floods of August 2023 in the northeastern part of Slovenia. Evaluation was done using publicly available unstructured data, with a focus on half-day granulation, which means a total of 12 time points for evaluating the events and the model. The results showed that in this way it was possible to establish an appropriate model that covers both a dynamic component and a degradation component of risk and resilience. This is a good basis for further development of the model in the future, as well as a basis for establishing a suitable solution within the smart city. Open data covers some general data, infrastructure data, and flood event data. Considering general data this includes Savinja area data. Infrastructure data covers general information about the infrastructure data, focusing on ED sectors. Regarding flood event data, they include meteorological (weather) and hydrological (rivers) data. Additionally, the data set provides detailed retrospective description about the flood event. Paper cover data set evaluation, as well hazard event evaluation. And also evaluation of ED sector in this event. Moreover, some hints for the risk-resilience-stress framework are given and evaluated. To be cited as: Grasic, V. (2025). Development of a multi-sectoral risk and resilience assessment model for smart city: Case study of floods in 2023 in the northeastern part of Slovenia. In Proceedings of the International Scientific Conference on Disaster and Emergency Management (DIEC), pp. 69–85. https://diec.ipi-akademija.ba/.