Integrating AI and IoT for Earthquake-Resilient Urban Planning: Optimizing Safer Zones and Evacuation Strategies in Cities

Earthquake events that occur more frequently together with increasing magnitude as well as urban growth demands new innovative solutions for ensuring urban disaster resilience. Standard earthquake evacuation blueprint methods which depend on stationary models together with historical records show inadequacy when dealing with seismic occurrences that follow unpredictable dynamics. The research studies the implementation of Artificial Intelligence and Internet of Things in earthquake protection strategies for urban areas to maximize evacuation plans. This investigation utilizes real-time data acquisition with sophisticated analytical techniques and routing algorithms to establish adaptable solutions that pinpoint safe areas and enhance route optimization for evacuation plans. The analysis of earthquake-prone areas includes the evaluation of essential response parameters concerning road conditions together with population density and structural vulnerabilities. The research proves that AI and IoT systems create opportunities to upgrade early detection systems and strengthen urban construction alongside delivering real-time operational capabilities. Through testing new methods, the research establishes that advanced technological systems are practical solutions for controlling earthquake risk. The research promotes the development of safer urban spaces with minimized seismic disaster impacts by providing a system to integrate contemporary technology platforms into city planning initiatives.