A comprehensive review of disruptive technologies in disaster risk management of smart cities
The integration of disruptive technologies into smart cities may contribute to a more robust disaster response system.. This paper offers a comprehensive overview of disruptive technologies that are currently being used or suggested for future advancements in urban disaster management. These technol...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Climate Risk Management |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2212096325000178 |
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| author | Chao Han Shan Zang |
| author_facet | Chao Han Shan Zang |
| author_sort | Chao Han |
| collection | DOAJ |
| description | The integration of disruptive technologies into smart cities may contribute to a more robust disaster response system.. This paper offers a comprehensive overview of disruptive technologies that are currently being used or suggested for future advancements in urban disaster management. These technologies include the Internet of Things (IoT), image processing, artificial intelligence (AI), big data, and smartphone applications. The main objective of this article is to investigate potential models for smart city development that would allow us to make better use of disruptive innovations and enhance disaster recovery efforts. The main points that are covered include (a) how new technologies can be used to improve upon current disaster management techniques and (b) what are the limitations or obstacles to using disruptive methods in this field. This research presents a new integrated framework that uses artificial intelligence (AI) driven big data analytics for disaster forecasting, early warning systems, and recovery after a disaster, as compared to previous studies that have focused on single uses of disruptive technology. In order to make smart cities more resilient to disasters, this study offers a comprehensive approach that combines processing data from several sources, predictive modelling, and efficient allocation of resources. To address these concerns, we offer an innovative approach for creating a disaster management strategy that make use of disruptive technologies and which depends on integrated methods founded in big data analysis and artificial intelligence. |
| format | Article |
| id | doaj-art-bccafbe03fcc4f9a9d4e6e0165e93530 |
| institution | DOAJ |
| issn | 2212-0963 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Climate Risk Management |
| spelling | doaj-art-bccafbe03fcc4f9a9d4e6e0165e935302025-08-20T03:21:51ZengElsevierClimate Risk Management2212-09632025-01-014810070310.1016/j.crm.2025.100703A comprehensive review of disruptive technologies in disaster risk management of smart citiesChao Han0Shan Zang1School of Economics and Management, Zhoukou Normal University, Zhoukou 466001, China; Corresponding author.Nanjing University, Nanjing, Jiangsu, 210093, ChinaThe integration of disruptive technologies into smart cities may contribute to a more robust disaster response system.. This paper offers a comprehensive overview of disruptive technologies that are currently being used or suggested for future advancements in urban disaster management. These technologies include the Internet of Things (IoT), image processing, artificial intelligence (AI), big data, and smartphone applications. The main objective of this article is to investigate potential models for smart city development that would allow us to make better use of disruptive innovations and enhance disaster recovery efforts. The main points that are covered include (a) how new technologies can be used to improve upon current disaster management techniques and (b) what are the limitations or obstacles to using disruptive methods in this field. This research presents a new integrated framework that uses artificial intelligence (AI) driven big data analytics for disaster forecasting, early warning systems, and recovery after a disaster, as compared to previous studies that have focused on single uses of disruptive technology. In order to make smart cities more resilient to disasters, this study offers a comprehensive approach that combines processing data from several sources, predictive modelling, and efficient allocation of resources. To address these concerns, we offer an innovative approach for creating a disaster management strategy that make use of disruptive technologies and which depends on integrated methods founded in big data analysis and artificial intelligence.http://www.sciencedirect.com/science/article/pii/S2212096325000178Disaster managementBig dataSmartphoneArtificial IntelligenceSmart cities |
| spellingShingle | Chao Han Shan Zang A comprehensive review of disruptive technologies in disaster risk management of smart cities Climate Risk Management Disaster management Big data Smartphone Artificial Intelligence Smart cities |
| title | A comprehensive review of disruptive technologies in disaster risk management of smart cities |
| title_full | A comprehensive review of disruptive technologies in disaster risk management of smart cities |
| title_fullStr | A comprehensive review of disruptive technologies in disaster risk management of smart cities |
| title_full_unstemmed | A comprehensive review of disruptive technologies in disaster risk management of smart cities |
| title_short | A comprehensive review of disruptive technologies in disaster risk management of smart cities |
| title_sort | comprehensive review of disruptive technologies in disaster risk management of smart cities |
| topic | Disaster management Big data Smartphone Artificial Intelligence Smart cities |
| url | http://www.sciencedirect.com/science/article/pii/S2212096325000178 |
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