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.
Digital Accessibility for Planners: Documents – Part 2
Part two of this course series demonstrates more advanced techniques planners can use to ensure their documents are accessible.
Digital Accessibility for Planners: Documents - Part 1
By the end of this course, planners will be able to address common access barriers in documents they produce. The first course will provide an introduction to the topic and initial skills, while the second course will dive into more "advanced" skills.
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.
Planning in an Era of Disruptive Change
The 21st century is a time of accelerating, disruptive change with profound implications for local communities. Unlock the planning foresight needed to navigate a rapidly changing social, economic, technological, and environmental world.
A New Era of Downtown Opportunity: The Intersection of Housing and Innovation
Learn specific policy and urban design strategies for adapting downtowns to a new role: innovation 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.
History of City Planning 5: The City of Tomorrow
Learn why city planning is crucial to the urban future and why the success of future cities will depend on the extent to which they are sustainable, equitable, and how they use technology to serve citizens. Evaluate the key challenges facing cities in the future and, importantly, potential solutions for those challenges.
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.
Introduction to Smart Cities
This course explores the characteristics and the challenges of smart cities, as well as the potential opportunities for a smart cities approach within the urban design and urban planning fields. This course also discusses the drivers and the essential technologies in a smart city.
Measuring Neighborhood Segregation and Diversity
This course reviews the various ways to measure both segregation and diversity at the neighborhood scale.