Smart City Gnosys

Smart city article details

Title Toward An Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
ID_Doc 57647
Authors Abid S.K.; Sulaiman N.; Chan S.W.; Nazir U.; Abid M.; Han H.; Ariza-Montes A.; Vega-Muñoz A.
Year 2021
Published Sustainability (Switzerland), 13, 22
DOI http://dx.doi.org/10.3390/su132212560
Abstract Technical and methodological enhancement of hazards and disaster research is identified as a critical question in disaster management. Artificial intelligence (AI) applications, such as tracking and mapping, geospatial analysis, remote sensing techniques, robotics, drone technology, machine learning, telecom and network services, accident and hot spot analysis, smart city urban plan-ning, transportation planning, and environmental impact analysis, are the technological compo-nents of societal change, having significant implications for research on the societal response to hazards and disasters. Social science researchers have used various technologies and methods to examine hazards and disasters through disciplinary, multidisciplinary, and interdisciplinary lenses. They have employed both quantitative and qualitative data collection and data analysis strategies. This study provides an overview of the current applications of AI in disaster management during its four phases and how AI is vital to all disaster management phases, leading to a faster, more concise, equipped response. Integrating a geographic information system (GIS) and remote sensing (RS) into disaster management enables higher planning, analysis, situational awareness, and recovery operations. GIS and RS are commonly recognized as key support tools for disaster management. Visualization capabilities, satellite images, and artificial intelligence analysis can assist governments in making quick decisions after natural disasters. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Author Keywords Artificial intelligence; Disaster management; Geographic information system


Similar Articles


Id Similarity Authors Title Published
23779 View0.867Elshoukry H.Enhancing Disaster Management By Leveraging Smart Cities TechnologiesProceedings of 2024 1st Edition of the Mediterranean Smart Cities Conference, MSCC 2024 (2024)
917 View0.865Han C.; Zang S.A Comprehensive Review Of Disruptive Technologies In Disaster Risk Management Of Smart CitiesClimate Risk Management, 48 (2025)
47286 View0.857Abdullayev N.; Suleymanov I.Satellite Navigation In Disaster Management Highlighting The Use Of Gps And Other Satellite Navigation Systems In Disaster Response And Management, Including Rescue Operations And Logistics PlanningProceedings of the International Astronautical Congress, IAC (2024)
15441 View0.855Li R.; Di Y.; Tian H.Computer-Aided Resilience: Advanced Techniques For Disaster Management In Smart Urban EnvironmentsSustainable Cities and Society, 108 (2024)
27920 View0.854Nefros C.; Kitsara G.; Loupasakis C.Geographical Information Systems And Remote Sensing Techniques To Reduce The Impact Of Natural Disasters In Smart CitiesIFAC-PapersOnLine, 55, 11 (2022)
4718 View0.853Saleh H.A.A Smart City Model Based On Artificial Intelligence For Disaster Risk Management In The Arabic CountriesLecture Notes in Networks and Systems, 861 LNNS (2024)
31781 View0.852Liao Y.; Liao W.; Wu D.; Zhang C.; Xu J.; Majumdar S.Inspired Applications Of Artificial Intelligence In Disaster-Resilient Regional Construction For Climate RiskUrban Sustainability, Part F3945 (2024)
6947 View0.851Singh R.; Manoharan G.Ai Integration To Strengthen Disaster Resilience In Smart CitiesAI and Emerging Technologies for Emergency Response and Smart Cities (2025)
20548 View0.85Munawar H.S.; Mojtahedi M.; Hammad A.W.A.; Kouzani A.; Mahmud M.A.P.Disruptive Technologies As A Solution For Disaster Risk Management: A ReviewScience of the Total Environment, 806 (2022)