As the impacts of climate change become more pronounced, urban areas face significant challenges. With the increasing frequency of extreme weather events, rising sea levels, heat waves, and other climate-related challenges, cities must find ways to protect their populations, infrastructure, and ecosystems. Furthermore, future risks from the changing climate and associated systemic risks challenge existing assessments, and demand holistic future-oriented investigations that generative methods provide. Urban simulation tools like agent-based models, and cellular automata have emerged as essential instruments in this endeavor, offering a means to visualize, predict, assess, and respond to climate change's complex and multifaceted impacts. Therefore, our session aims to delve deeply into the transformative role of urban simulation models in enabling cities to understand, plan for, and respond to these climate challenges. The session will showcase the latest advancements in simulation technology and explore integrating these tools into holistic urban planning and policy-making processes, through which cities can develop robust strategies to mitigate climate risks and enhance resilience.
Contributions are welcome on:
● New urban simulation methods that support risk, exposure, and vulnerability assessments in urban environments, including urban growth, urban morphology, infrastructure, population dynamics, and ecosystems.
● Explore the challenges associated with developing and implementing urban simulation models within the context of climate change adaptation.
● Discuss opportunities for improving simulation accuracy and relevance through emerging technologies integration, such as artificial intelligence, big data analytics, and IoT.
● Case studies from cities that have effectively used simulation models to guide their climate adaptation efforts
Contributions are welcome on:
● New urban simulation methods that support risk, exposure, and vulnerability assessments in urban environments, including urban growth, urban morphology, infrastructure, population dynamics, and ecosystems.
● Explore the challenges associated with developing and implementing urban simulation models within the context of climate change adaptation.
● Discuss opportunities for improving simulation accuracy and relevance through emerging technologies integration, such as artificial intelligence, big data analytics, and IoT.
● Case studies from cities that have effectively used simulation models to guide their climate adaptation efforts