2023· International Journal of Emerging Trends in Multidisciplinary Research· 0 citations
Abstract
Disaster Risk Reduction (DRR) has emerged as a critical global priority in response to the increasing frequency, intensity, and complexity of natural and human-induced disasters. Climate change, rapid urbanization, environmental degradation, and socio-economic inequalities have significantly amplified disaster risks, particularly in developing and vulnerable regions. This paper presents a comprehensive multidisciplinary analysis of disaster risk reduction strategies by integrating perspectives from engineering, environmental science, social sciences, economics, public policy, and information technology. The study emphasizes that effective DRR cannot be achieved through single-discipline interventions but requires a holistic framework that combines structural and non-structural measures, community participation, governance mechanisms, and technological innovation. The paper systematically reviews existing DRR frameworks and international agreements, including the Sendai Framework for Disaster Risk Reduction, highlighting their strengths and limitations. A detailed literature survey examines recent research on hazard assessment, vulnerability analysis, resilience building, early warning systems, and post-disaster recovery. The proposed methodology adopts a systems-based approach, integrating qualitative and quantitative methods such as risk modeling, stakeholder analysis, and multi-criteria decision-making. Key performance indicators are used to evaluate the effectiveness of DRR strategies across different hazard contexts. Results indicate that multidisciplinary DRR strategies significantly enhance preparedness, reduce disaster losses, and improve recovery outcomes when compared to sector-specific approaches. The discussion underscores the importance of adaptive governance, data-driven decision-making, and inclusive community engagement. The paper concludes by proposing a scalable and adaptable DRR framework suitable for policymakers, practitioners, and researchers, contributing to sustainable development and resilience-building efforts worldwide.
Evaluating and improving community disaster risk reduction capacity (CDRRC) is a crucial concern in the theory and application of urban catastrophe management. Nonetheless, current evaluation frameworks frequently concentrate on a solitary discipline or a restricted array of metrics, while capacity-building initiatives generally neglect sustainability considerations. To rectify this deficiency, this study utilizes Chinese national standards and implements their three-tier indicator framework for evaluating CDRRC; subsequently, it employs the Analytic Hierarchy Process (AHP) to ascertain the significance of the indicators and evaluates 10 communities in the central urban area of Xiangtan using the TOPSIS methodology. Our research revealed that the most significant first-level indicators—disaster management (0.3362) and disaster prevention and preparedness (0.3230)—are crucial for a community’s ability to reduce disaster risk, while other second- and third-level indicators highlight particular priority areas. The relative proximity of the sample communities varied between 0.3273 and 0.5868, with an average of 0.4287, indicating that their disaster risk reduction capacity is low to moderate. The relative proximity among the first-level indicators further revealed variations in capacity dimensions, facilitating the classification of six community types—from “synergistic advantage” to “comprehensively lagging”—each possessing distinct characteristics related to disaster risk reduction capacity and improvement requirements. To improve CDRRC in accordance with sustainability goals, it is crucial to refine coordination and risk evaluation, optimize resource allocation and training, strengthen information dissemination and communication, and enhance team cohesion and infrastructure, thereby fortifying the foundations of governance and resilience for sustainable community development.
Bangladesh is among the most disaster-prone countries in the world. The country faces increasing risks from several natural hazards e.g. cyclones, floods, and landslides every year due to its geographical and climatic conditions. Therefore, the present study was an attempt to examine the development of disaster management research in Bangladesh from 2000 to 2024, identifying key trends, research gaps, and future directions in this domain. Based on an analysis of over 50 peer-reviewed articles and policy documents, the present research identifies seven specific thematic areas: community resilience, policy and governance, disaster management cycle, climate change integration, technological advancements, healthcare systems, and gender inclusion. The findings emphasize two distinctive aspects; first, continuing challenges in this area such as inadequate local governance, limited resources, and a lack of gender inclusion; and second, notable advancements in community-based initiatives and legislative frameworks. This assessment would contribute to scholarly discussions and policy development aimed at enhancing Bangladesh’s disaster resilience.
Jagannath University Journal of Science, Volume 12, Number 1, Jun. 2025, pp. 1−28
Syeda Ishrat Najia, S. Sharif, Farhan Ahmed Rafid· Jagannath University Journal...· 0 citations
Attitudinal vulnerability encompasses the psychological and behavioural determinants, including risk perception, preparedness, and response strategies, that affect individuals’ susceptibility to disasters. As the incidence and severity of disasters escalate as a consequence of climate change, it becomes imperative to comprehend how attitudes impact vulnerability to enhance disaster risk reduction (DRR) initiatives. The purpose of this study is to rigorously reassess the extant literature pertaining to disasters, attitudes, and vulnerability while proposing avenues for future research.
This systematic review has been executed using the innovative PRISMA methodology. Keyword co-occurrence analysis has been conducted using VOSviewer software to elucidate the interrelations among keywords and to identify underexplored research domains. The Scopus and Web of Science databases were accessed to procure high-quality, peer-reviewed journal articles that served as the foundational resources for this study.
Disaster research clusters around knowledge, attitudes and preparedness, social vulnerability and climate change, resilience oriented governance and vulnerability, risk perception and capacity linkages. Findings highlight behavioural determinants of preparedness, structural inequities in exposure and recovery, growing use of resilience frameworks and limited empirical integration of capacity and risk perception, especially in under represented contexts globally.
This study stands as a groundbreaking systematic review regarding attitudes, vulnerability and DRR. The originality of this research lies in the synthesis of clusters of keywords and the formulation of a framework for attitudinal vulnerability in the context of disasters.
C. Senavirathna, S. Rajapaksha· International Journal of Dis...· 0 citations
The risk of floods is expected to increase as the frequency of extreme weather events driven by climate change increases. Strengthening community flood resilience requires an effective governance framework. This study uses a qualitative approach to examine the extent to which existing disaster management and other relevant policies in Malaysia support community resilience to floods amid climate change. National policy documents related to disasters, floods, and climate change were analysed using the multidimensional Flood Resilience Measurement for Communities framework, complemented by semi-structured interviews with key informants from government agencies. The study found that Malaysia's existing policy framework provides a foundation for community flood resilience, although important gaps remain across financial, human, social, physical, and natural capitals. Financial capital remains largely reactive, while physical capital focuses on large-scale infrastructure. Human capital development is uneven, social capital remains constrained by limited community participation, and natural capital is weakly integrated at the community level. Addressing these gaps is essential to enhance community-level preparedness, adaptive capacity, and long-term flood resilience in Malaysia.
M. Ariffin, Nurul Fatin Harissha Zulhari· PLANNING MALAYSIA· 0 citations
Indonesia is one of the most disaster-prone countries in the world due to exposure to earthquakes, floods, tsunamis, volcanic eruptions, and climate-related hazards. Hospitals play a critical role in maintaining healthcare delivery during disasters, yet their resilience capacity varies. This study synthesized evidence on hospital disaster resilience in Indonesia, focusing on preparedness for flood and earthquake hazards. An evidence-based descriptive synthesis was conducted using peer-reviewed studies, national reports, policy documents, and international guidance. Findings were analyzed across four resilience domains the Hospital Safety Index: structural and non-structural safety, emergency management systems, continuity of essential services, and governance and policy integration. The review found that improvements in hospital resilience were most evident in governance, disaster management planning, and policy integration, largely driven by accreditation requirements and national disaster risk reduction initiatives. However, structural resilience remains insufficient in many facilities, particularly regarding seismic preparedness and non-structural mitigation measures. Flood preparedness is more advanced than earthquake preparedness because hydrometeorological hazards occur more frequently. Persistent vulnerabilities were identified in continuity of essential services, including electricity, water supply, sanitation systems, and healthcare waste management. Although disaster preparedness plans are increasingly available, operational readiness through emergency exercises remains inconsistent. Overall, hospital disaster resilience in Indonesia remains uneven, characterized by stronger administrative preparedness than infrastructural and functional resilience. Strengthening disaster-safe hospitals requires integrated resilience frameworks, climate-resilient health infrastructure, sustained investment in emergency preparedness, enhanced workforce capacity, and stronger implementation of disaster risk reduction policies across the healthcare system to ensure service continuity during future emergencies and disasters.
Dicky Budiman, T. Nurrobi· Gema Lingkungan Kesehatan· 0 citations
Urban resilience is a critical component of disaster risk governance, particularly in regions exposed to multiple natural, technological, and environmental hazards. This study proposes an integrated spatial decision-support framework that combines disaster risk, resilience capacity, and institutional responsibilities to identify intervention priorities. Using Zonguldak Province, Türkiye, as a case study, seven risk and six resilience indicators were evaluated across eight districts. The Analytic Hierarchy Process (AHP) was used to determine criterion weights, while VIKOR was applied to rank districts according to their relative intervention priorities. Institutional responsibility mapping was additionally used to relate major risk types to responsible institutions and priority districts. The results identified landslide, flood, and earthquake as the most influential risk criteria, while emergency response capacity and healthcare accessibility were the leading resilience criteria. VIKOR ranked Gökçebey and Devrek as the two highest-priority districts, reflecting the combined effect of substantial hazard exposure and limited resilience capacity. Sensitivity analyses showed that these leading priorities remained stable under alternative VIKOR parameter values and reasonable changes in criterion weights. Overall, the findings demonstrate that intervention priorities cannot be explained by hazard levels alone but should be evaluated together with local resilience capacities and institutional responsibilities. The proposed framework provides a modular and transferable approach for supporting spatially differentiated disaster risk reduction and resource allocation in multi-hazard contexts.
