Applications of a rheological Model Analog to Assess the Resilience of Socio-technical Systems

Crises are ubiquitous in socio-technical systems. Upon tracking one or several performance parameters, a crisis commonly manifests by a breakdown of such performance parameters following singular events such as disasters or catastrophes. In (Stolz et al. 2024), a model has been proposed that describes the breakdown of one of the aforementioned performance parameters. In comparison to most previous models, this approach allows to capture not only full recovery, but also the permanent breakdown of the system, partial recovery, and improved performance above pre-crisis values. Previously, the model has been applied to several inherently different systems, and it could be shown for the number of flight departures at German airports following COVID-19 that model parameters can be correlated to real-world characteristics of these airports. In this Work in Progress, the model is applied to further systems, with the goal to unveil additional connections between model parameters and system characteristics.

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Journal
Proceedings of the ... International ISCRAM Conference
Published
2025-05-16
DOI
https://doi.org/10.59297/s55sp571
Primary Topic
Occupational Health and Safety Research
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article
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article

Applications of a rheological Model Analog to Assess the Resilience of Socio-technical Systems

S. Fischer, Jet Hoe Tang, Alexander Stolz, Kai Fischer
Proceedings of the ... International ISCRAM Conference
Occupational Health and Safety Research
article

Applications of a rheological Model Analog to Assess the Resilience of Socio-technical Systems

S. Fischer, Jet Hoe Tang, Alexander Stolz, Kai Fischer
article en

Abstract

Crises are ubiquitous in socio-technical systems. Upon tracking one or several performance parameters, a crisis commonly manifests by a breakdown of such performance parameters following singular events such as disasters or catastrophes. In (Stolz et al. 2024), a model has been proposed that describes the breakdown of one of the aforementioned performance parameters. In comparison to most previous models, this approach allows to capture not only full recovery, but also the permanent breakdown of the system, partial recovery, and improved performance above pre-crisis values. Previously, the model has been applied to several inherently different systems, and it could be shown for the number of flight departures at German airports following COVID-19 that model parameters can be correlated to real-world characteristics of these airports. In this Work in Progress, the model is applied to further systems, with the goal to unveil additional connections between model parameters and system characteristics.

Proceedings of the ... International ISCRAM Conference
Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut (DE)
Openalex Percentile: Top 82%
Occupational Health and Safety Research
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