Inspired Applications of Artificial Intelligence in Disaster-Resilient Regional Construction for Climate Risk

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.