Using Artificial Intelligence to Increase Urban Resilience: A Case Study of Tehran

Urban resilience refers to the capacity of a city or urban system to anticipate, prepare for, respond to, recover from, and adapt to various challenges, shocks, and stresses it may face. These challenges can include natural disasters, such as earthquakes, floods, and hurricanes, as well as human-made events like industrial accidents or social and economic disruptions. This article explores the pivotal role of artificial intelligence (AI) in fortifying the resilience of urban environments, focusing on the dynamic city of Tehran. Facing unique challenges, including seismic risks and rapid urbanization, Tehran exemplifies the need for innovative approaches to enhance its capacity to withstand and recover from shocks and stresses. The phased planning approach outlined in this study encompasses assessment, stakeholder engagement, data collection, vulnerability modelling, strategy development, and continuous monitoring. Leveraging AI algorithms, Tehran's resilience strategies are intricately woven into its infrastructure, policies, and community engagement initiatives. The article underscores the transformative impact of AI in creating a dynamic, data-driven, and adaptive framework for Tehran, ensuring its ability to thrive in the face of evolving challenges. This article explores the multifaceted ways in which AI can be employed to enhance the resilience of Tehran, making it better prepared to face and recover from various shocks and stresses.

Keywords:

Tehran , Artificial Intelligence , Urban Resilience , natural disasters , shocks and stresses