Climate Action Planning: Sustainable Transportation
Covers climate action planning and sustainable transportation through hands-on collaborations with UW-Madison sustainability and transportation partners.
Summary
Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=15 letter grades); Spring 2023: 4.00 GPA, 100.0% A/AB (n=25 letter grades); Spring 2024: 3.67 GPA, 85.0% A/AB (n=20 letter grades).
What you’ll be able to do
Locate specific climate governance relationships and actors as they relate to sustainable transportation (i.e., climate action in higher ed nested within intergovernmental context)
Employ the mechanics of climate action plans and processes in the context of sustainable transportation
Explain policy and planning issues in sustainable transportation broadly and with a focus on fuels, vehicles, and vmt-reduction
Relate travel behavior and its application to climate change mitigation;
Create a GHG emissions analysis/assessment using relevant methods and applied to sustainable campus transportation in its community context
Explain the social, economic, and/or environmental dimensions of the sustainability challenge(s) of urban transportation systems.
Apply sustainability principles and/or frameworks to addressing the challenge of climate change mitigation in the transportation sector.
Expand one’s professional self-awareness through group leadership, facilitation, and cooperation
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapSenior standing
- Senior standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Senior standing
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=15 letter grades); Spring 2023: 4.00 GPA, 100.0% A/AB (n=25 letter grades); Spring 2024: 3.67 GPA, 85.0% A/AB (n=20 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Climate action planning fundamentals
- Greenhouse gas emission reduction and health co-benefits
- Green fleet management, active travel behavior, and built environment modifications
- Policy and planning issues in sustainable transportation, including fuels, vehicles, and VMT reduction
Skills
- Fundamental concepts of climate action planning and sustainable transportation
- Analyzing policies, programs, and plans to reduce greenhouse gas emissions using real-world data
- Practice-oriented strategies for reducing carbon footprints via green fleet management, behavior-based tools, and built environment modifications
- Identifying climate governance relationships and actors in sustainable transportation contexts
- Group leadership, facilitation, and cooperation
Grades
Latest available · Spring 2024— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2024
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
No offering records for the selected term.
Raw records
[]
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "481172e208156567a85db9bc9095a9d96f5995ae77a37d45fbf6bfb74387265f",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}