Digital twin representation of socio-technical systems through a distributed co-simulation approach for crisis management

Till Martini (), Maurizio Boigk, Faruk Catal, Steffen Dietze, Michael Gerold, Eridy Lukau, Michael Monteforte, Stefan Neuhäuser, Sascha Peitzsch, Windy Phung, Stefan Pfennigschmidt, Maik Simon, Joanna Zarah Vetter, Nils Winter, Gabriel Adams, Jörg Finger and Julia Rosin
Additional contact information
Till Martini: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Maurizio Boigk: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Faruk Catal: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Steffen Dietze: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Michael Gerold: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Eridy Lukau: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Michael Monteforte: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Stefan Neuhäuser: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Sascha Peitzsch: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Windy Phung: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Stefan Pfennigschmidt: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Maik Simon: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Joanna Zarah Vetter: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Nils Winter: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Gabriel Adams: Fraunhofer Center for the Security of Socio-Technical Systems SIRIOS
Jörg Finger: Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institute, EMI
Julia Rosin: Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institute, EMI

Environment Systems and Decisions, 2025, vol. 45, issue 3, 1-21

Abstract: Abstract The increasing frequency and severity of significant risks to public safety posed by natural disasters or human-induced events have underscored a critical need for evaluating the vulnerability of urban regions with a focus on their essential infrastructures. This paper presents a novel methodology for the virtual representation of infrastructure vulnerabilities and functional impairments during hazard situations. Thereby, focus is on the mapping of interdependencies among critical infrastructure systems and the cascading effects that can arise from failures within these heterogeneous sectors by means of a digital twin representation. An integration of simulation models for urban infrastructure components, particularly in relation to the built environment and emergency response systems is introduced. Leveraging a modular co-simulation architecture, the framework facilitates the analysis of cascading effects across multiple infrastructure systems, such as water, electricity, gas, and telecommunications. As a proof-of-concept example, urban flooding due to heavy rainfall is considered to illustrate the framework’s capabilities in predicting system states and assessing structural impacts on critical infrastructures as well as consequential ramifications for emergency relief units. The findings contribute valuable insights, thereby advertising the utilization of the presented methodology in decision-making and training resources aiding the enhancement of the resilience of urban environments against both natural and intentional threats.

Keywords: Digital Urban Twin; Socio-technical systems; Distributed co-simulation; Crisis management (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10669-025-10035-0

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