Smart City Gnosys
Smart city article details
| Title | Inspired Applications Of Artificial Intelligence In Disaster-Resilient Regional Construction For Climate Risk |
|---|---|
| ID_Doc | 31781 |
| Authors | Liao Y.; Liao W.; Wu D.; Zhang C.; Xu J.; Majumdar S. |
| Year | 2024 |
| Published | Urban Sustainability, Part F3945 |
| DOI | http://dx.doi.org/10.1007/978-981-97-9658-8_16 |
| Abstract | Artificial Intelligence (AI) technologies are crucial in advancing smart cities and sustainable development practices. Conventional approaches to disaster-resilient construction face significant challenges, such as limited access to real-time data, resulting in inefficiencies, inadequate treatment methodologies, and deficiencies in effective decision-making processes. Innovative methods are therefore necessary to address these challenges effectively. Integrating big data and AI stands out as a leading technological frontier in disaster-resilient construction, offering solutions to traditional response management dilemmas and providing actionable insights for climate risk prevention and response strategies. Intelligent disaster-resilient construction leverages sensor-equipped Internet of Things (IoT) devices, integrated data streams, big data analytics, and machine learning to enhance resilience in disaster response systems. These intelligent technologies enable real-time monitoring, spatial simulation, optimized decision-making, and digital system enhancements, improving responsiveness and decision-making efficiency. This chapter reviews practices and case studies in AI applications for intelligent disaster-resilient construction, highlighting critical perspectives on the framework, recommendations, challenges, and opportunities for effective implementation. The aim is to foster innovation in spatial intelligence technology systems, providing the direction towards a sustainable future. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. |
| Author Keywords | Artificial Intelligence (AI); Climate risk; Disaster-resilient construction; Experience cases; Sustainable development |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
6947  | 0.901 | Singh R.; Manoharan G. | Ai Integration To Strengthen Disaster Resilience In Smart Cities | AI and Emerging Technologies for Emergency Response and Smart Cities (2025) |
| 917 | 0.895 | Han C.; Zang S. | A Comprehensive Review Of Disruptive Technologies In Disaster Risk Management Of Smart Cities | Climate Risk Management, 48 (2025) |
| 31662 | 0.878 | Jasim J.A.; Hilal Mutlag A.; Othman N.A.; Shareef H.; Hameed N.H. | Innovative Applications Of Ai And Iot In Smart Urban Infrastructure And Housing Projects | 2nd International Conference on Emerging Research in Computational Science, ICERCS 2024 (2024) |
| 35135 | 0.872 | Pandey A.; Goyal M. | Leveraging Technology For Climate Resilience In Urban Areas | Revolutionizing Urban Development and Governance With Emerging Technologies (2025) |
| 23779 | 0.871 | Elshoukry H. | Enhancing Disaster Management By Leveraging Smart Cities Technologies | Proceedings of 2024 1st Edition of the Mediterranean Smart Cities Conference, MSCC 2024 (2024) |
| 56481 | 0.87 | Cina E.; Elbasi E.; Elmazi G.; AlArnaout Z. | The Role Of Ai In Predictive Modelling For Sustainable Urban Development: Challenges And Opportunities | Sustainability (Switzerland), 17, 11 (2025) |
| 19082 | 0.869 | Venkatasubramanian N.; Davis C.A.; Eguchi R.T. | Designing Community-Based Intelligent Systems For Water Infrastructure Resilience | Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, ARIC 2020 (2020) |
| 869 | 0.868 | Kumar G.S.A.; Roy A.; Singh R.; Gehlot A.; Iqbal M.I.; Akram S.V. | A Comprehensive Approach To Real-Time Site Monitoring And Risk Assessment In Construction Settings Using Internet Of Things And Artificial Intelligence | SSRG International Journal of Electrical and Electronics Engineering, 10, 8 (2023) |
| 41598 | 0.866 | Zhao S. | Perception And Optimal Design Of The Artificial Intelligence-Based Smart City Building Environment | International Journal of Decision Support System Technology, 17, 1 (2025) |
| 20449 | 0.864 | Elvas, LB; Mataloto, BM; Martins, AL; Ferreira, JC | Disaster Management In Smart Cities | SMART CITIES, 4, 2 (2021) |