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Rainfall-triggered landslides are increasing in the humid tropics, and Small Island Developing States are disproportionately affected. Frequent shallow slides in hillside cuttings along roads and in communities hinder sustainable development. Larger, less frequent storms cause hundreds of landslides that block lifeline roads, impede disaster response and reverse economic growth. Top-down Disaster Risk Reduction (DRR) policies and approaches aiming to transfer conventional landslide assessment science and engineering practices are not always suitable in these data-and resourcelimited contexts. This paper recognises the emergence of co-production approaches as part of the resilience paradigm response to DRR science-policy-practice gaps. We present a case study from Saint Lucia, Eastern Caribbean, in which government engineers and policymakers have partnered with the authors to co-produce landslide hazard assessment data and prototype decision support tools to strengthen landslide hazard management along lifeline roads.
Rainfall-triggered landslides are increasing in the humid tropics, and Small Island Developing States are disproportionately affected. Frequent shallow slides in hillside cuttings along roads and in communities hinder sustainable development. Larger, less frequent storms cause hundreds of landslides that block lifeline roads, impede disaster response and reverse economic growth. Top-down Disaster Risk Reduction (DRR) policies and approaches aiming to transfer conventional landslide assessment science and engineering practices are not always suitable in these data-and resourcelimited contexts. This paper recognises the emergence of co-production approaches as part of the resilience paradigm response to DRR science-policy-practice gaps. We present a case study from Saint Lucia, Eastern Caribbean, in which government engineers and policymakers have partnered with the authors to co-produce landslide hazard assessment data and prototype decision support tools to strengthen landslide hazard management along lifeline roads.
PurposeThis research investigated the impacts of COVID-19 on construction enterprises and good practices adopted by the enterprises in reducing COVID-19 risks. The Sendai Framework (TSF) is widely accepted as a strategic roadmap to reduce disaster risks throughout the life cycle of a disaster. As such, with the aim of enhancing the resilience of Australian construction enterprises, the identified good practices were mapped with TSF priorities to consolidate COVID-19 risk reduction practices that can be adopted by Australian construction enterprises.Design/methodology/approachCase study research approach was used, and three case studies were conducted with small, medium and large construction enterprises. Small, medium and large enterprises were selected based on the Australian Bureau of Statistics classification of the business size. Data were collected through semi-structured interviews conducted with three executive members from the three enterprises. Data were analysed using content analysis.FindingsThe study found that construction enterprises faced demand and supply side impacts. Infrastructure projects, funded by public sector clients and larger enterprises were least affected. Investments and demand for residential and other building projects were reduced by private sector clients, affecting small and medium enterprises. Findings also show that the construction enterprises adopted good practices in identifying, managing, investing on resilience and recovery that align with TSF priorities. All three enterprises agreed on some common good practices on risk identification, risk management and effective recovery. Different views were shared on investments related to disaster resilience.Practical implicationsThis study contributes to mitigate the COVID-19 impacts on construction enterprises and subsequent economic and social impacts.Originality/valueThis research found how Australian construction enterprises survived during COVID-19. The study adopted TSF to construction and COVID-19 context while consolidating COVID-19 risk reduction practices.
Objective To explore the beliefs, attitudes, and perspectives of community resilience in St. Kitts and Nevis. Design Qualitative Interpretive Phenomenological Analysis using the EnRiCH Community Resilience Framework for High‐Risk Populations (EnRiCH Framework) to identify factors that enhance or create barriers to community resilience to disasters in St. Kitts and Nevis. Sample Twenty‐one key informants and 23 community informants provided insight into the history of disasters. Results Unique strengths and barriers that significantly influenced this high‐risk population's adaptive capacity were identified. A discrepancy between the way disaster preparedness was perceived by government officials and the local population was noted. Cultural factors promoted connectedness and communication and created barriers to empowerment and collaboration. Innovative strategies were suggested that could enhance upstream leadership, downstream management, and resource management during disasters. Conclusions Island communities represent a unique opportunity to examine risk reduction and vulnerability within the context of community and societal characteristics. This research addresses a significant gap in the literature on interventions that utilize a strengths‐based approach to building adaptive capacity and resilience to disasters among at‐risk populations. The EnRiCH Framework can be used to develop an approach to strengthen adaptive capacity and improve resilience to disasters.
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