Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-521-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-521-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Feb 2020
Research article |
| 24 Feb 2020
| 24 Feb 2020
The whole is greater than the sum of its parts: a holistic graph-based assessment approach for natural hazard risk of complex systems
Marcello Arosio
CORRESPONDING AUTHOR
Department of Science, Technology and Society, Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15, 27100 Pavia, Italy
Mario L. V. Martina
Department of Science, Technology and Society, Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15, 27100 Pavia, Italy
Rui Figueiredo
Department of Science, Technology and Society, Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15, 27100 Pavia, Italy
CONSTRUCT-LESE, Faculty of Engineering, University of Porto, Porto, Portugal
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- Assessment of the Disaster Resilience of Complex Systems: The Case of the Flood Resilience of a Densely Populated City M. Arosio et al. 10.3390/w13202830
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- Data for critical infrastructure network modelling of natural hazard impacts: Needs and influence on model characteristics R. Schotten et al. 10.1016/j.rcns.2024.01.002
- Organisational vulnerability: exploring the pathways P. Chipangura et al. 10.1108/DPM-03-2024-0065
- A review of graphical methods to map the natural hazard-to-wellbeing risk chain in a socio-ecological system J. Monge et al. 10.1016/j.scitotenv.2021.149947
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- Built Environment Typologies Prone to Risk: A Cluster Analysis of Open Spaces in Italian Cities A. D’Amico et al. 10.3390/su13169457
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- Exploring the raison d’etre behind metric selection in network analysis: a systematic review D. Morrison et al. 10.1007/s41109-022-00476-w
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- Are We Missing the Target? A Bias-Variance Perspective on Multi-Hazard Risk Assessment A. Dunant 10.3389/feart.2021.685301
- A framework for using event evolutionary graphs to rapidly assess the vulnerability of urban flood cascade compound disaster event networks Y. Chen et al. 10.1016/j.jhydrol.2024.131783
Latest update: 20 Nov 2024
Short summary
Assessing the risk of complex systems to natural hazards is an important and challenging problem. In today’s socio-technological world, the connections and interdependencies between exposed elements are crucial. These complex relations call for a paradigm shift in collective risk assessment. This paper proposes a holistic, graph-based approach for assessing the risk of complex systems. The feasibility of the approach is discussed by an application to a pilot study in Mexico City.
Assessing the risk of complex systems to natural hazards is an important and challenging...
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