A Multidisciplinary Analysis of Disaster Risk Reduction Strategies

  • Authors

    • Dr. Rajesh Kumar Sharma Professor, University of Delhi, India. Author

    DOI:

    https://doi.org/10.67228/30715636/IJETMR-2023PI8B1D

    Published 01-05-2023

  • Disaster Risk Reduction, Resilience, Multidisciplinary Approach, Hazard Mitigation, Sustainability

    Issue

    Section

    Articles

    How to Cite

    [1]
    R. K. Sharma, “A Multidisciplinary Analysis of Disaster Risk Reduction Strategies”, IJETMR, vol. 6, no. 1, pp. 01–15, Jan. 2023, doi: 10.67228/30715636/IJETMR-2023PI8B1D.
  • 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.

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