State of the research on disaster risk management of interdependent infrastructure systems for community resilience planning

He, Xian; Jeong, Eun

doi:10.1080/23789689.2020.1871541

Cited by 13 publications

(2 citation statements)

References 258 publications

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“…Selecting journal articles was based on the fact that journals are considered as more reliable in terms of the source of knowledge and are more detailed than other sources [28]; [29]. Similarly, [30] conference proceedings provide a reliable sources of literature review, hence their inclusion in this study. The key search words adopted were "Disaster", "Resilient", AND "Infrastructure".…”

Section: Methodsmentioning

confidence: 99%

Disaster Resilient Infrastructure: A Bibliometric Analysis of Global Research Trends

Adejola,

Ngaunje,

Ogunlolu

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The vital role of infrastructure in the delivery of essential services and the severity of disasters globally calls for more research and discourse on disaster resilient infrastructure. Despite the increasing body of knowledge on disaster resilient infrastructure, an assessment of research on the subject is lacking. This study fills this gap by assessing the global research trend in disaster resilient infrastructure. The study adopted a bibliometric analysis with the use of the VOSviewer. The main search words used in the study were “Disaster”, “Resilient”, AND “Infrastructure. Initial extracted papers with these keywords were 1041. After refining based on language, document type, and key words, a total of 278 papers were found suitable for the analysis. The years 2020 to 2022 indicated the highest research outputs while countries with highest number of publication on the subject of disaster-resilient infrastructure were the United States, United Kingdom and Japan. Most of the highly cited works were review-based, case studies and a few experimental. The findings of this study serve as a source of baseline data on disaster resilient infrastructure which can provide new research directions and also guide the design and implementation of policies on disaster-resilient infrastructure.

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Section: Methodsmentioning

confidence: 99%

Disaster Resilient Infrastructure: A Bibliometric Analysis of Global Research Trends

Adejola,

Ngaunje,

Ogunlolu

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Based on the judgments of experts, He [81] proposed EDL ranges corresponding to each damage state. Furthermore, according to the estimated damage states of distribution sub-stations, the post-disaster functionality of distribution substations, i.e., the power supply capacity c s it , can be estimated using Equation (7):…”

Section: Damage States and Functionality Of The Power-distribution Ne...mentioning

confidence: 99%

Enhancing Buildings’ Energy Resilience by Dynamic Seismic Emergency Inspection and Restoration Scheduling in Multiple Systems

Zhang,

Li,

Chen

et al. 2023

Buildings

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Buildings’ energy resilience in natural disasters is reliant on the support of the functionalities of critical infrastructure that the buildings connect to, such as highway-bridge and electric power systems. Meanwhile, as critical infrastructure systems have increasingly become interconnected and interdependent, they are more susceptible to natural hazards and less able to withstand their effects. Insufficient research has been conducted regarding computational models of effectively representing the interdependencies and interactions involved in the restoration scheduling of post-disaster critical infrastructure systems. To address this research gap, this study proposes integer programs, integrating hybrid genetic algorithms, to explicitly investigate the impact of interactions and interdependencies between electric power systems (EPSs) and highway-bridge systems (HBSs) on the energy-recovery processes of buildings. The objective is to dynamically prioritize the restoration scheduling for EPSs and HBSs while considering inspection and restoration activities. A case study based on the 2008 Wenchuan Earthquake in Sichuan province, China, is employed to validate the efficacy of the proposed method. The results of the analysis reveal that the dynamic model exhibits a substantial 6.4% improvement in building energy resilience at the seven-day mark, compared to the static model. Moreover, the proposed coupled EPS–HBS inspection–restoration joint model outperforms a disjoint EPS inspection–restoration scheduling model, yielding a remarkable 11.4% enhancement in system resilience at the seven-day mark. These findings underscore the significance of considering interdependencies and interactions within critical infrastructure systems to enhance the energy resilience of buildings in earthquake-affected areas.

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Digital post-disaster risk management twinning: A review and improved conceptual framework

Lagap,

Ghaffarian

2024

International Journal of Disaster Risk Reduction

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State of the research on disaster risk management of interdependent infrastructure systems for community resilience planning

Cited by 13 publications

References 258 publications

Disaster Resilient Infrastructure: A Bibliometric Analysis of Global Research Trends

Disaster Resilient Infrastructure: A Bibliometric Analysis of Global Research Trends

Enhancing Buildings’ Energy Resilience by Dynamic Seismic Emergency Inspection and Restoration Scheduling in Multiple Systems

Digital post-disaster risk management twinning: A review and improved conceptual framework

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