2021
DOI: 10.1038/s41598-021-81130-w
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Healthcare and education networks interaction as an indicator of social services stability following natural disasters

Abstract: Healthcare and education systems have been identified by various national and international organizations as the main pillars of communities’ stability. Understanding the correlation between these main social services institutions is critical to determining the tipping point of communities following natural disasters. Despite being defined as social services stability indicators, to date, no studies have been conducted to determine the level of interdependence between schools and hospitals and their collective… Show more

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Cited by 24 publications
(12 citation statements)
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“…Therefore, modeling these two processes is essential in understanding the role of human behavior in urbanization. Herein, we develop a behavioral urban growth model that employs ABM as a class of computational models for simulating the interactions between autonomous entities in the form of agents to investigate their consequences on complex systems and networks 28 . Our behavioral urban growth model consists of two sub-models: the Relocating Model which simulates the dynamics within the city boundary and the Growth Model which mimics the dynamics at the city boundary, as illustrated in Fig.…”
Section: Coupling Human Behavior Urbanization and Flood Riskmentioning
confidence: 99%
“…Therefore, modeling these two processes is essential in understanding the role of human behavior in urbanization. Herein, we develop a behavioral urban growth model that employs ABM as a class of computational models for simulating the interactions between autonomous entities in the form of agents to investigate their consequences on complex systems and networks 28 . Our behavioral urban growth model consists of two sub-models: the Relocating Model which simulates the dynamics within the city boundary and the Growth Model which mimics the dynamics at the city boundary, as illustrated in Fig.…”
Section: Coupling Human Behavior Urbanization and Flood Riskmentioning
confidence: 99%
“… Guadix et al, 2020 , Guan et al, 2020 , Hassan and Mahmoud, 2021 , Jin et al, 2021 , Junod Perron et al, 2020 , Kaul et al, 2021 , Nascimento and Gavvala, 2021 , Papapanou et al,xxxx .…”
Section: Uncited Referencesmentioning
confidence: 99%
“…Computational frameworks properly model the failure and restoration of infrastructure systems in the face of disturbances to the systems (Guikema et al., 2014; Ouyang & Dueñas‐Osorio, 2014; Ouyang & Fang, 2017; Tomar & Burton, 2021; Winkler et al., 2010). Several studies have devised ways to assess the resilience of various infrastructure systems (Batouli & Mostafavi, 2018; Gori et al., 2020; Guidotti et al., 2019; Hassan & Mahmoud, 2021; Ma et al., 2019). Particularly related to power infrastructure systems, there are studies that have developed computational models for determining the system's reliability when exposed to potential hazards with respect to topological and inherent vulnerabilities (Figuero‐candia et al., 2018; Holmgren, 2006; Mensah & Dueñas‐Osorio, 2016; Outages et al, 2018; Ouyang & Zhao, 2014; Reed et al., 2010).…”
Section: Introductionmentioning
confidence: 99%