Smart City Gnosys

Smart city article details

Title A Smart City Model Based On Artificial Intelligence For Disaster Risk Management In The Arabic Countries
ID_Doc 4718
Authors Saleh H.A.
Year 2024
Published Lecture Notes in Networks and Systems, 861 LNNS
DOI http://dx.doi.org/10.1007/978-3-031-71426-9_17
Abstract All of the Arabic countries face the increasing of sustainability problems associated with the pressure from population growth, environmental degradation, natural and man-made disasters and hazards (mainly due to the climate change). Integrating disaster risk reduction into the development activities using intelligent technologies and procedures is an important theme for confronting these disasters and hazards that have devastated a large number of worldwide countries, especially in the Arabic countries. Accordingly, these disasters and hazards have set back progress in the development activities of these countries. Consequently, some of these countries try to provide flexible prevention measures for protecting their citizens and national economic sectors from the effects of these disasters and hazards. However, Most of these countries are limited in their ability to integrate effectively a smart city model for reducing the impacts of these disasters and hazards. This paper presents an efficient disaster risk management decision support system based on this smart model that provides effective urban solutions for confronting these disasters and hazards. These solutions try to reduce the risk of these disasters and hazards, while achieving sustainable development goals in Syria. A practical example of applying this smart model is presented to deal with flood risk management in the Syrian coastal region. This model could be applied and developed further to deal with all the other disasters and hazards in Syria, and in the Arabic countries. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Author Keywords Artificial intelligence; Disaster risk management; Smart city


Similar Articles


Id Similarity Authors Title Published
54038 View0.878Yılmaz S.; Oral H.V.; Saygın H.Sustainable Smart City Application Based On Machine Learning: A Case Study Example From The Province Of Tekirdağ, TurkeyUrban Sustainability, Part F3698 (2024)
56648 View0.868Saied Y.; Rodionovskaya I.; Nassour M.; Husen R.The Role Of Smart City Applications In The Development Of Idp Areas In War CountriesIFAC-PapersOnLine, 52, 25 (2019)
44757 View0.859Bashir O.Reducing Disaster Risks In Indian Smart Cities: A Five-Stage Resilience Maturity Model (Rmm) ApproachLecture Notes in Civil Engineering, 58 (2020)
4792 View0.857Zabihi O.; Siamaki M.; Gheibi M.; Akrami M.; Hajiaghaei-Keshteli M.A Smart Sustainable System For Flood Damage Management With The Application Of Artificial Intelligence And Multi-Criteria Decision-Making ComputationsInternational Journal of Disaster Risk Reduction, 84 (2023)
4866 View0.854Arepalli A.; Srinivasa Rao S.; Rao P.J.A Spatial Disaster Management Framework For Smart Cities—A Case Study Of Amaravati City—Flood ManagementSpringer Series in Geomechanics and Geoengineering (2019)
26689 View0.854Peixoto J.P.J.; Costa D.G.; Portugal P.; Vasques F.Flood-Resilient Smart Cities: A Data-Driven Risk Assessment Approach Based On Geographical Risks And Emergency Response InfrastructureSmart Cities, 7, 1 (2024)
57647 View0.853Abid S.K.; Sulaiman N.; Chan S.W.; Nazir U.; Abid M.; Han H.; Ariza-Montes A.; Vega-Muñoz A.Toward An Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster ManagementSustainability (Switzerland), 13, 22 (2021)