2026· International Journal of Knowledge Based Computer Systems· Vol 14, pp. 9-24· 0 citations
TL;DR
The study delves into the multi-aspect abilities of AI across the disaster management cycle, indicative of its worth from readiness to the recovery phases, and illustrates the groundbreaking potential of AI in disaster management.
Abstract
Irrespective of the type of disaster, disaster management requires a systematic approach to mitigate, respond to, and recover from disaster. Organisations, scientists, and researchers worldwide are shifting to Artificial Intelligence (AI) to minimise the damage caused by natural events. With the growing challenges of climate instability, the influence of AI in disaster management is requisite. Artificial intelligence, with its unprecedented capabilities in predicting and preparing for disasters, along with mitigating and lessening the damage, aids in better and rapid responses to disasters. The study delves into the multi-aspect abilities of AI across the disaster management cycle, indicative of its worth from readiness to the recovery phases. The paper illustrates the groundbreaking potential of AI in disaster management, concentrating not only on its strategic implications but also on its predictive capabilities across different regions of the world. In addition to the above, the article also discusses the use cases of AI in transforming disaster management and the challenges hindering the adoption of this technology.
To manage complex disaster risks, it is important to develop a response that spans multiple areas of expertise. Bridging the gap between law, social sciences, and natural sciences is an important part of any disaster risk reduction. It helps systems adapt quickly as AI technologies are constantly changing and have significantly impacted where law and the natural environment intersect, influencing legal systems and environmental policies, and how legal and environmental issues can prevent AI from having a greater impact on society and the economy. As part of a participatory assessment of production, with the assistance of legal experts, social and environmentalists, the key principles of responsible data analysis are proposed. These principles focus on security, transparency, fairness, accountability, and the ability to challenge or challenge decisions. This conversation describes how different disciplines can work together to create flexible legal systems that use AI, while drawing knowledge from the environmental and social sciences. The way environmentalists and decision-makers talk about useful and accurate information leads to differences that make the use of artificial intelligence difficult due to legal issues related to the reliability, reliability, and contentiousness of disaster management systems. If social media is useful for disaster risk reduction through AI, it's important to consider legal issues related to who is responsible and how sensitive the information used in disaster management is. Ideas for a fair and responsible process focus on the environment and encourage discussions on social and economic issues related to public participation. AI is also very important in education, as it brings together the next generation of law, social and natural sciences to jointly find solutions that bring together different disciplines in a balanced way. AI tools can be very useful in emergency management, but it's important to use them fairly and responsibly. You need to think about things like possible unfair benefits, clear explanations, and protecting people's personal data. Careful use of AI techniques, considering how AI, laws, and environmental risks interact with each other, helps create equitable and sustainable ways to collect and use data.
R. Paper, Research Supervisor Prof, Dominique Ferraro· The social science· 0 citations
Natural and man-made disasters continue to extract a catastrophic toll on human lives, infrastructure, and economies across the world. Between 2000 and 2022, disaster events claimed over 1.9 million lives and caused economic losses exceeding USD 2.97 trillion, with climate change accelerating the frequency and intensity of hydro-meteorological events such as cyclones, floods, and droughts. In India, a country that ranks among the world's most disaster-prone nations, the lack of an integrated, technology-enabled disaster response coordination system has repeatedly resulted in delayed relief operations, duplicated resource deployment, and inadequate victim tracing. This paper proposes a comprehensive Disaster Response and Emergency Management System (DREMS) — an AI-driven, IoT-integrated, multi-agency coordination platform designed to support all four phases of disaster management: mitigation, preparedness, response, and recovery. The DREMS architecture comprises six functional modules: a multi-hazard early warning subsystem using satellite and ground sensor fusion, an AI-based damage and casualty assessment engine using satellite imagery analysis, a real-time resource allocation and dispatch optimizer, a decentralized mesh-network communication infrastructure for connectivity-denied disaster zones, a victim registration and family reunification portal, and a post-disaster recovery tracking dashboard. The system was evaluated through a simulated large-scale flood disaster scenario modelled on the 2015 Chennai floods, demonstrating a 34% reduction in resource dispatch response time, 91.4% accuracy in satellite-based damage classification, 87.6% victim registration coverage in simulation, and communication continuity in connectivity-denied zones with mesh network node density of 1 node per 0.8 km². The proposed DREMS framework offers a deployable, scalable model for integrated disaster management aligned with India's National Disaster Management Authority guidelines.
Keywords — Disaster Management, Emergency Response, Early Warning System, Satellite Imagery, AI Damage Assessment, Mesh Network, Resource Allocation, NDMA, IoT, Flood Response
Agesta Jenifer A Agesta Jenifer A, Saran S Saran S, Potrivel K Potrivel K et al.· International Scientific Jou...· 0 citations
Rapid urbanization and escalating climate-related risks have significantly heightened the disaster vulnerability of cities worldwide. Traditional urban planning methods, constrained by their reliance on static historical data and reactive strategies, are increasingly inadequate for addressing contemporary hazard complexities. Artificial Intelligence (AI) presents a transformative opportunity for disaster-resilient urban planning through data-driven insights and dynamic decision-making capabilities. This paper evaluates the role of AI in enhancing urban resilience and proposes a conceptual framework grounded in a systematic review of peer reviewed literature and comparative global case studies. The study employs a qualitative review methodology encompassing an examination of academic publications, policy reports, and case studies from disaster prone metropolitan areas. Secondary data were sourced from Scopus, Web of Science, institutional databases, and publicly accessible urban and climate datasets. Results indicate that AI-enabled approaches demonstrate superior capabilities in risk recognition, integrated data analytics, and the formulation of proactive, adaptive planning strategies compared to conventional methods. Comparative case study analysis of Chennai, Rotterdam, Tokyo, and Singapore reveals that the efficacy of AI applications is contingent upon data availability, technological infrastructure, and institutional governance capacity. The study concludes that while AI holds substantial potential to transform disaster-resilient urban design, its effective implementation necessitates robust institutional frameworks, ethical governance, and context-specific adaptation, particularly in developing regions.
Senthil M· 2026 11th International Conf...· 0 citations
Artificial intelligence (AI) stands at the forefront of transforming emergency management, offering unprecedented capabilities in disaster preparedness and response. Recent implementations demonstrate this shift from reactive to proactive approaches, particularly through flood prediction algorithms and maritime search-and-rescue optimization systems that integrate real-time vessel locations and weather data. However, the current landscape reveals a critical challenge: The opacity of AI systems creates a significant trust deficit among emergency responders and communities. Research findings paint a concerning picture of this transparency gap. A comprehensive survey of emergency management AI systems reveals striking statistics: 68 percent lack adequate documentation of their data sources, while 42 percent fail to provide clear justifications for their recommendations. This “black box” phenomenon carries serious implications, particularly when flood prediction models disproportionately affect vulnerable populations or when opaque decision-making processes lead to suboptimal resource allocation during critical rescue operations. Analysis of real-world applications in flood preparedness and search-and-rescue operations exposes systematic communication deficiencies within these essential emergency response frameworks. The research examines how varying levels of AI transparency directly influence emergency responders’ decision-making during crises, exploring the delicate balance between operational openness and security considerations. These findings highlight an urgent need for robust oversight mechanisms and context-specific transparency protocols to ensure ethical AI deployment in emergency management. The evidence points toward a clear solution: developing human-centric approaches that enhance rather than replace human capabilities in emergency response. This strategy requires establishing tailored transparency guidelines and monitoring systems that address current challenges while facilitating effective AI integration. By prioritizing both technological advancement and human oversight, emergency management systems can better serve their critical public safety mission.
Jaideep Visave· Journal of Emergency Managem...· 0 citations
Odisha, a state on India’s eastern coast, is one of the most disaster-prone states in the country. It is affected by cyclones, floods, and droughts. Following the Super Cyclone of 1999, the approach to disaster preparedness has slowly changed from relief to disaster management. In this altered context, civil society organizations – non-governmental organizations, community-based organizations, self-help groups, volunteers and community radio stations – have become essential partners. This paper examines the changing role of civil society in disaster management and resilience across Odisha, drawing on 107 peer-reviewed publications from 2001 to 2025. It highlights that civil society organisations play a robust role in all the phases of disaster, that is, during preparedness through training, spreading early warning signals, and preparing local contingency plans, during response through last mile distribution of relief materials, support evacuation and two-way communication, during recovery through restoration of means livelihood, psychosocial support, resilient building back and during mitigation through advocacy for risk-informed development and ecosystem-based adaptation. Civil society involvement has gradually taken on a formal character through institutional mechanisms such as the Odisha State Disaster Management Authority (OSDMA), the District Disaster Management Authorities (DDMAs), and the Village Disaster Management Committees (VDMCs). While CSOs and NGOs have made significant contributions, there are still many issues they face, such as resource constraints, coordination gaps, capacity limitations, and the sustainability of engagement between disasters. The paper concluded that institutionalizing community-based approaches, expanding participatory communication platforms, establishing sustainable funding mechanisms, and deepening policy engagement are essential for strengthening civil society. The experiences of Odisha can provide salient lessons for the world's disaster-prone regions. These experiences demonstrate that successful disaster governance requires a true partnership among the government, civil society, and the people.
S. Sethi· International Journal For Mu...· 0 citations
Disasters, which profoundly affect social life, are catastrophes that have caused loss of life and property throughout human history. Today, factors such as population growth, urbanization, and global climate change are making the effects of disasters even more devastating. Therefore, municipalities, as the institutions closest to people, must build a disaster-resilient life through their work. Municipalities, which have various tasks related to disaster management, from risk analysis to planning and coordination, include the work they will carry out in their strategic plans to fulfill these tasks. The aim of this study is to examine the strategic plans of municipalities in Türkiye, to determine the current state of disaster risk management, to identify the factors preventing the prioritization of risk and damage reduction, and to develop solutions. Accordingly, the strategic plans of all metropolitan and provincial municipalities that have prepared strategic plans were first evaluated using document review technique. Based on the findings, semi-structured interviews were conducted with municipal personnel and academics using prepared interview questions. The interview data were subjected to computer-assisted data analysis, and findings were presented under three themes. As a result of the study; While there is an awareness of risk management approaches in municipalities, an examination of the distribution of disaster risk management reveals that preparedness activities occupy a larger space than risk and damage reduction activities. The most significant obstacles contributing to this situation include a shortage of expert personnel, high costs, differing political priorities, lack of institutional coordination, municipal resource deficiencies, legislative issues, and insufficient public awareness. To address these issues, recommendations include strengthening resources, improving institutional capacity, reforming legislation, and increasing public awareness.
