Cargando…

Exploring the Space of Possibilities in Cascading Disasters with Catastrophe Dynamics

Some of the most devastating natural events on Earth, such as earthquakes and tropical cyclones, are prone to trigger other natural events, critical infrastructure failures, and socioeconomic disruptions. Man-made disasters may have similar effects, although to a lesser degree. We investigate the sp...

Descripción completa

Detalles Bibliográficos
Autores principales: Mignan, Arnaud, Wang, Ziqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579666/
https://www.ncbi.nlm.nih.gov/pubmed/33036402
http://dx.doi.org/10.3390/ijerph17197317
Descripción
Sumario:Some of the most devastating natural events on Earth, such as earthquakes and tropical cyclones, are prone to trigger other natural events, critical infrastructure failures, and socioeconomic disruptions. Man-made disasters may have similar effects, although to a lesser degree. We investigate the space of possible interactions between 19 types of loss-generating events, first by encoding possible one-to-one interactions into an adjacency matrix [Formula: see text] , and second by calculating the interaction matrix [Formula: see text] of emergent chains-of-events. We first present the impact of 24 topologies of [Formula: see text] on [Formula: see text] to illustrate the non-trivial patterns of cascading processes, in terms of the space of possibilities covered and of interaction amplification by feedback loops. We then encode [Formula: see text] from 29 historical cases of cascading disasters and compute the matching matrix [Formula: see text]. We observe, subject to data incompleteness, emergent cascading behaviors in the technological and socioeconomic systems, across all possible triggers (natural or man-made); disease is also a systematic emergent phenomenon. We find interactions being mostly amplified via two events: network failure and business interruption, the two events with the highest in-degree and betweenness centralities. This analysis demonstrates how cascading disasters grow in and cross over natural, technological, and socioeconomic systems.