Bicycle Planning Courses
- CIP
- AIA CES
- AICP CM
- SACPLAN CPD
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All Bicycle Planning Courses
Planning Implications and Design for AV Futures
Part 2 of this course considers the opportunities and challenges of adopting autonomous vehicles for the future of the built environment, safety and urban development.
Autonomous Vehicles: Technology, Trends and Planning Concerns
Explore the technology, terminology, history, trends and concerns behind autonomous vehicles and learn about the past, present and possible future of AVs on the global landscape — and the key challenges they present to planners.
Digital Accessibility for Planners – Web
Explore techniques to make their web content created by planners accessible to people with disabilities and compliant with regulations and laws that support disability access. Examples include social media, public outreach and input mechanisms and agency and plan websites.
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.
Placemaking for Innovation: Creating Innovation Ecosystems
The knowledge economy will dominate job growth by 2040, making local innovation a must. To attract the educated workforce needed to keep up, regions must focus on placemaking to create innovation ecosystems — vibrant, mixed-use areas where people can live, work, and interact.
Green Infrastructure
This course defines green infrastructure, highlights its types and benefits, discusses monetary valuation and financing, and explores its role in addressing climate change, equity, and technological change.
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.
Traffic Congestion, Part Two: Congestion Pricing
Dive into congestion pricing: what it is, why it could work, and how governments might implement it.
Methods for Neighborhood Scale Revitalization
This course presents a rigorous but adaptable methodology that builds on the strengths of neighborhoods to develop customized approaches for addressing challenges that directly respond to the needs and vision of each neighborhood.
The Elements of Citymaking: Design, Policy, and Finance
Examine the theory of city-making at various scales, ranging from a development site at the smallest scale to the largest urban regions.
Accessory Dwelling Units: Understanding America’s Newest Housing Typology
Explore the latest ADU policy developments from leading American cities, key challenges and opportunities for increasing or limiting ADU production, first-hand examples, and best practices in ADU affordability programs.
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.