Cross-sectoral preparedness and mitigation for networked typhoon disasters with cascading effects

Zhi-bin, HU; Wu, Guangdong; Wu, Huanyu; Zhang, Limao

doi:10.1016/j.uclim.2022.101140

Cited by 12 publications

(5 citation statements)

References 115 publications

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“…Network structure and node attributes are important factors that influence the formation of cross-sector collaborative networks. Providing specialized nodes for information and resource transfer can improve departmental communications, increase collaboration efficiency, and minimize the time it takes to respond to urban disasters [61]. Therefore, in the planning of NI construction the collaboration between two projects with reciprocity can be further strengthened by increasing their management coordination and constructing the two projects in neighboring areas, thus better utilizing the effectiveness of the NI projects.…”

Section: Discussionmentioning

confidence: 99%

“…Hu discovered the most important nodes that must be taken into account while designing urban disaster prevention through the examination of degree centrality. Additionally, they investigated the nodes occupying the critical paths in the network of typhoon cascading effects using betweenness centrality [61]. At the same time, the results of the closeness centrality are not as precise as the betweenness centrality [59].…”

Section: Node Attribute Variablesmentioning

confidence: 99%

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Decision-Making Based on Network Analyses of New Infrastructure Layouts

Wang

Zhang

et al. 2022

Buildings

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New Infrastructure (NI) has gradually become a new driving force for regional economic growth and an important part of the construction of new urban infrastructure in many countries, including China. Compared with traditional infrastructures, these NIs have mutually supportive functions and complex interrelationships that create interconnected networks of resources, information, and other interactions during the construction of the NIs. Therefore, it is important to analyze such correlation networks and explore their formation mechanisms in order to develop more scientific and reasonable strategies for NI investment and construction. In this study, the interdependence between NIs in Chongqing was analyzed as an example. Social network analysis (SNA) was used for the overall characteristics of the interdependency network of the NIs and an exponential random graph model (ERGM) was used to reveal the formation mechanism of this network. The results showed that information infrastructure is the key node for enhancing the effectiveness of Chongqing’s NI needs and its government should play a coordinating role. The network of related relationships is characterized by “reciprocity” and “small group”. The aggregation of NIs with such characteristics can produce an agglomeration effect. So, in the planning of NIs, the coordination among management departments should be strengthened and project locations should be reasonably arranged according to the functional interactive characteristics of the projects.

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Section: Discussionmentioning

confidence: 99%

Section: Node Attribute Variablesmentioning

confidence: 99%

Decision-Making Based on Network Analyses of New Infrastructure Layouts

Wang

Zhang

et al. 2022

Buildings

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“…In one study, the results of network centrality measures indicate that, and collaboration mechanisms for resilience planning are centralized, in which a few major or central stakeholders dominate decision-making processes and intra-sector collaboration is more likely to happen than intersectoral collaboration (Ren et al, 2023). Another network study showed the Philippines had a more complex fragmented collaborative network than Japan which led to the inefficiency of disaster management and reliance on the central government (Hu et al, 2022). The low density and sparseness of regional disaster management networks reflect weak disaster management structures and relationships and low levels of trust and interdependence, which can further weaken the overall effectiveness of disaster recovery (Lara et al, 2022).…”

Section: Social Network Analysismentioning

confidence: 99%

Analyzing Post-Disaster Reconstruction Stakeholder Networks: Malaysian rural housing

Lam

Yip

Lee

et al. 2023

E-BPJ

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This article uses the social network analysis to identify resource coordination and information exchange of stakeholders in the inter-organizational network by studying the project-related interactions of rural housing reconstruction in Temerloh, Pahang that were funded by the Malaysian government, His Majesty the King and NGO. The data was collected through content analysis and interviews with 23 government agencies, NGOs, and community stakeholders. Findings from the analysis established that government agencies had the highest actor centralities, with the Rural Development Ministry and the local government level being the most central among the government agencies, whereas the homeowners had the lowest centralities. Keywords: post-disaster housing reconstruction, social network analysis, rural Malaysia eISSN: 2398-4287 © 2023. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v8i23.4511

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“…Hu, Wu, Wu, and Zhang conducted typhoon disaster chain analysis in urban spaces and found that rainstorms and typhoons present special problems for responses in urban areas, including electricity outages yielding cascading effects. Differences in modes of collaboration exist; "complex adaptive systems thinking" [77] should be cultivated to improve resilient responses.…”

Section: Urban Areasmentioning

confidence: 99%

Research Trends in Resilience and Vulnerability Studies

Atkinson

2023

Encyclopedia

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While the definition of resilience is disputed or even fuzzy, due in no small part to the diversity of its applications, the concept generally involves the ability to withstand and bounce back from shocks; vulnerability as a related concept involves the tendency to suffer from shocks, given existing characteristics that may prevent resilient responses. Vulnerabilities put individuals, groups, and societies at greater risk and disadvantage, suggesting a need not only for disaster response and recovery, but mitigation and preparedness. Resilience and vulnerability research has recently focused on the role of government, the COVID-19 pandemic, and flood hazards; topics of interest have also included resilience of rural and urban areas, development and sustainability, and displacement and migration.

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Cross-sectoral preparedness and mitigation for networked typhoon disasters with cascading effects

Cited by 12 publications

References 115 publications

Decision-Making Based on Network Analyses of New Infrastructure Layouts

Decision-Making Based on Network Analyses of New Infrastructure Layouts

Analyzing Post-Disaster Reconstruction Stakeholder Networks: Malaysian rural housing

Research Trends in Resilience and Vulnerability Studies

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