Physics of the City: Quantitative Urban Dynamics and Planning

Modern cities are complex, adaptive systems that grow and function according to fundamental, underlying patterns. This text-only course bridges the gap between physics and urban planning, showing you how to analyze cities using quantitative frameworks, network science, and statistical mechanics. You will learn to view urban environments not just as collections of buildings, but as dynamic networks of energy, information, and human flow. What you'll learn: Understand the core principles of urban scaling laws and how cities behave like biological organisms; Analyze urban transit, utility, and social networks using basic graph theory and network science; Apply statistical models to predict infrastructure demands, traffic flow, and resource consumption; Explore modern sustainability frameworks, smart city data integration, and climate resilience planning; Evaluate how zoning laws, economic forces, and public policy shape urban spatial structures. The course begins with foundational definitions of urban systems and physics-based modeling before guiding you through spatial analysis, network dynamics, and future-ready urban design strategies. This course is designed for curious beginners, aspiring urban planners, and analytical thinkers who want to understand cities through a scientific lens, with no advanced mathematics or physics background required. Read, analyze, and start decoding the complex systems that shape our urban world.