All Bicycle Planning Courses
Generative AI, Ethics, and the Future of Urban Planning
Explore the ethical and equity implications of using generative AI in urban planning. This course addresses bias, transparency, public trust, emerging tools like digital twins, and offers practical guidance for responsible adoption.
Navigating the Ethical Landscape for AI in Urban Planning
Uncover some of the largest ethical issues related to using AI in urban planning and the steps cities around the world are taking to ensure fairness, honesty, and accountability as this revolutionary technology becomes more embedded in the modern world.
Demystifying AI: Terminology, Tools, and Techniques for Urban Planners
Understanding the basics of artificial intelligence, or AI, is increasingly important for urban planners. Learn the capabilities, limitations, and language of emerging technologies that utilize AI methods.
Crime and Urban Planning in the United States
The spatial patterns and environmental characteristics of urban crime offer planners an opportunity to contribute to building crime-resilient communities.
Solving Coverage and Location-Allocation Problems
Location-allocation problems involve locating supply sites and simultaneously allocating demand to those sites so the entire system is optimized. With this course, you will learn the basic principles of the coverage and location-allocation problems and be able to solve them using LINGO software and map the results in QGIS.
Suitability Analysis and Linear Optimization: Siting a New Transit Line
This course applies suitability analysis techniques and least-cost path analysis—which optimizes routes on linear features—to planning for and siting a new transit line.
Location Optimization
This course introduces the basic principles of location optimization models and provides a hands-on tutorial on point-based location optimization using QGIS and LINGO.
Measuring Neighborhood Segregation and Diversity
This course reviews the various ways to measure both segregation and diversity at the neighborhood scale.