DISASTER MANAGEMENT
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Prachi Bhure Dr. Sandip Kulkarni
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Abstract
A critical, strategic framework designed to mitigate, prepare for, respond to, and recover from natural and human-induced hazards to protect vulnerable communities and infrastructure. As disasters increase in frequency and intensity, effective management requires a multi-faceted approach involving government, local entities, and technical expertise to minimize damage. This study reviews the four core Pillars mitigation preparedness (planning), response immediate action, and recovery highlighting the importance of communication, cooperation, coordination, and collaboration in effective, actionable emergency planning. By analyzing historical data and implementing standardized, structured protocols, the research demonstrates how proactive strategies can enhance community resilience and reduce socioeconomic losses
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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 04
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Apr 24 2026
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Bahire, P. & Patil, A. (2026). Disaster Management. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.466
Bahire, Pradeep, and Aditya Patil. "Disaster Management." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.466.
Bahire, Pradeep, and Aditya Patil. "Disaster Management." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.466.
References
1.Haghani, A., & Oh, S. C. (1996). Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations. Transportation Research Part A: Policy and Practice,
2.30(3). https://doi.org/10.1016/0965-8564(95)00020-8
3.Wibowo, I. Amri, A. Surah mat, and R. Rushad, “Leveraging artificial intelligence in disaster management: A comprehensive bibliometric review,” Jamba: J. Disaster Risk Stud., vol. 17, no. 1, 2025, Art. no. 1776, doe: 10.4102/jamba.v17i1.1776. (PMC)
4.[5] B. Jankovic, S. Jangirova, W. Ullah, L. U. Khan, and M. Guizani, “UAV-assisted real-time disaster detection using optimized transformer model,” arXiv, 2025. [Online]. Available: https://arxiv.org/abs/2501.12087. (arXiv)
5.[6] A. Raj, L. Arora, S. S. Girija, S. Kapoor, D. Pradhan, and A. Shetgaonkar, “AI and generative AI transforming disaster management: A survey of damage assessment and response techniques,” arXiv, 2025. [Online]. Available: https://arxiv.org/abs/2505.08202. (arXiv)
6.[7] (Optional if needed for broader context) A. Marzban, M. Dowlati, S. Moslehi et al., “Role of schools in disaster risk management: A systematic review,” BMC Emerg. Med., vol. 26, Art. no. 23, Jan. 2026, doi: 10.1186/s12873-025-01453-z. (Springer)
2.30(3). https://doi.org/10.1016/0965-8564(95)00020-8
3.Wibowo, I. Amri, A. Surah mat, and R. Rushad, “Leveraging artificial intelligence in disaster management: A comprehensive bibliometric review,” Jamba: J. Disaster Risk Stud., vol. 17, no. 1, 2025, Art. no. 1776, doe: 10.4102/jamba.v17i1.1776. (PMC)
4.[5] B. Jankovic, S. Jangirova, W. Ullah, L. U. Khan, and M. Guizani, “UAV-assisted real-time disaster detection using optimized transformer model,” arXiv, 2025. [Online]. Available: https://arxiv.org/abs/2501.12087. (arXiv)
5.[6] A. Raj, L. Arora, S. S. Girija, S. Kapoor, D. Pradhan, and A. Shetgaonkar, “AI and generative AI transforming disaster management: A survey of damage assessment and response techniques,” arXiv, 2025. [Online]. Available: https://arxiv.org/abs/2505.08202. (arXiv)
6.[7] (Optional if needed for broader context) A. Marzban, M. Dowlati, S. Moslehi et al., “Role of schools in disaster risk management: A systematic review,” BMC Emerg. Med., vol. 26, Art. no. 23, Jan. 2026, doi: 10.1186/s12873-025-01453-z. (Springer)
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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