Big Data and Urban Planning: Analyzing China's Cities

China's rapid urbanization presents a fascinating landscape of growth, challenges, and opportunities. Understanding these massive shifts requires moving beyond traditional planning methods and embracing the power of modern spatial data. This text-based course guides you through the core concepts of urban big data, showing you how to find, clean, and analyze datasets to uncover insights about city growth, transit networks, and land use. You will transition from a curious observer to someone who can interpret complex urban dynamics using real-world data patterns. What you'll learn: - Understand the foundational concepts of urban planning and the role of big data in modern city development. - Acquire open-source urban data from public repositories and modern APIs. - Analyze spatial patterns, population distribution, and transit networks using structured data. - Learn how urban modeling techniques simulate growth and predict future infrastructure needs. - Explore real-world case studies of Chinese cities to understand regional planning challenges. - Apply basic data cleaning and processing workflows tailored for geospatial analysis. The course begins by establishing key terminology and the historical context of urbanization in China before guiding you through data collection methods, spatial analysis techniques, and practical urban modeling scenarios. This course is designed for beginners in urban studies, geography, or data analysis, with no prior coding or planning experience required. Start reading today to unlock data-driven insights into the future of global cities.