Will AI replace Transportation Planners?
Estimated risk score: 60 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (41 to 79).
For the occupation as a whole, from ratings of its 22 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 19-3099.01 · Life, Physical, and Social Science
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 5 of its 22 rated tasks. In O*NET’s words.
- Develop computer models to address transportation planning issues.
- Analyze information from traffic counting programs.
- Interpret data from traffic modeling software, geographic information systems, or associated databases.
- Prepare reports or recommendations on transportation planning.
- Prepare necessary documents to obtain planned project approvals or permits.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 22 rated tasks. In O*NET’s words.
- 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.
What the job is
Prepare studies for proposed transportation projects. Gather, compile, and analyze data. Study the use and operation of transportation systems. Develop transportation models or simulations.
Also called: Program Officer, Transportation Data Programs Manager, ATSS, Transit Planner, Fleet Coordinator, Transportation Modeler, Transportation Designer, Transportation Management Consultant.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate