Jobs › Life, Physical, and Social Science
AI exposure report
Will AI replace Transportation Planners?
Many of your tasks are within reach of AI. The role will change, so it pays to act now.
Task exposure to today's AI
High exposure
This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.
Get your personal scoreWill AI replace Transportation Planners?
Not entirely. Today's AI tools can take on about 55% of the typical work in this occupation, mostly: prepare reports or recommendations on transportation planning. The parts that stay human include: Participate in public meetings or hearings to explain planning proposals, to gather feedback from those affected by projects, or to achieve consensus on project designs.; Analyze information related to transportation, such as land use policies, environmental impact of projects, or long-range planning needs.; Collaborate with engineers to research, analyze, or resolve complex transportation design issues..
People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.
Which tasks AI can take on
The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.
+ 16 more tasks (49% of the week) in the full test.
Your human edge
- Participate in public meetings or hearings to explain planning proposals, to gather feedback from those affected by projects, or to achieve consensus on project designs.
- Analyze information related to transportation, such as land use policies, environmental impact of projects, or long-range planning needs.
- Collaborate with engineers to research, analyze, or resolve complex transportation design issues.
AI tools to try
ChatGPT / Claude for literature and writingAI research tools (e.g. Elicit, Consensus, Semantic Scholar)Copilot for data analysis code (Python, R)Related roles
A 3-phase AI learning plan
Phase 1
Faster literature and writing
- Literature search and summaries with AI, always checked against the papers.
- Drafts of methods, reports and grant text.
- Reference management and formatting.
Project
Use AI to summarize 20 peer agency long-range transportation plans and draft a 10-page existing-conditions chapter with formatted citations, verifying every claim against the source.Phase 2
AI for data analysis
- Analysis code in Python or R written with AI help.
- Visualisation and statistics explained step by step.
- Reproducibility: version code and prompts.
Project
Build an AI-assisted Python or R script that cleans a year of traffic count and travel-model output data and auto-generates 10 charts, versioned in a repo with your prompts logged.Phase 3
AI as a research method
- Classification, extraction or modelling with AI on your data.
- Validate against human labels or ground truth.
- Ethics, data protection and disclosure of AI use.
Project
Use an AI model to classify 300 public-comment submissions on a corridor study by theme, then validate against 50 of your own hand-coded labels and report accuracy plus an AI-use disclosure.