Bicycle Planning Courses
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- AIA CES
- AICP CM
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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.
Enhancing Public Participation with Generative AI
This tutorial shows how generative AI can enhance inclusive and responsive public participation in urban planning by summarizing feedback, tailoring outreach, and visualizing scenarios using real-world tools and examples.
Generative AI Tools and Workflows for Urban Planning
This course introduces planners to the fundamentals of Generative AI (GenAI) and its practical uses in creating text, images, videos, and designs. It highlights how these tools can enhance and streamline urban planning practice.
What Is Generative AI and Why It Matters for Urban Planning
This course introduces urban planners to Generative AI (GenAI), covering its fundamentals and demonstrating how it can create text, images, videos, and designs to enhance planning practices.
Introduction to GIS, Part 2
Take the next step into the world of Geographic Information Systems (GIS) and ArcGIS Pro with an overview of navigation, map projections, and essential map design principles.
Introduction to GIS, Part 1
Learn how to navigate the ArcGIS Pro interface, understand the basics of map projections, and grasp essential map design principles. By the end of this session, you will have a solid foundation for further GIS exploration.
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.
Principles of Materiality, Responsiveness, Inclusivity, and Impact
In this course, students will take a deep dive into the AA1000 AccountAbility standard and its four Principles: Inclusivity, Materiality, Responsiveness and Impact and how they integrate to develop a very well thought out framework.
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.
Area-Based Location Optimization: Urban Green Space Selection
By the end of this course you will understand the basic principles of area-based location optimization and be able to solve the knapsack, threshold, and shape problems using LINGO software. The course also shows how to map the results of these skills in QGIS.
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.
Introduction to Urban Informatics
This course discusses how the field of urban informatics works. You will also learn about the technologies and concepts influencing Urban Informatics, including "Big Data," machine learning, visualization, and data-driven decision making.
Measuring Neighborhood Segregation and Diversity
This course reviews the various ways to measure both segregation and diversity at the neighborhood scale.
CityEngine for Planners 3: Integration and GIS
Learn how to import real-world data from satellite imagery and terrain to GIS data.
Python Street Network Analysis
In this course we will learn how to use Python to conduct street network analysis with the OSMnx package.
Python Geospatial Analysis and Mapping
Learn how to use Python to work with urban spatial data.
Urban Design for Planners 6: Streetscape Design
Learn how to identify thoroughfares where traffic calming is a high priority, identify desired thoroughfare dimensions based on urban context, and redesign an existing thoroughfare.
Urban Design for Planners 5: Density
Emily Talen, PhD, FAICP teaches urban design strategies for increasing density in neighborhoods and locating infill development appropriate to the context of specific neighborhoods. Talen also introduces urban design interventions proven to increase density.
Urban Design for Planners 4: Mix and Proximity
Course instructor Emily Talen, PhD, FAICP provides step-by-step instruction on how to use data sets to visualize and map the configuration of mix and density along main commercial corridors and neighborhoods.