Develop computer models to address transportation planning issues.

“Develop computer models to address transportation planning issues.” is a core task performed by Transportation Planners. Among the occupation's 22 rated tasks, workers place it 17th by importance (#6 most important). About 95% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Develop scientific or mathematical theories or models. in Thinking Creatively

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E1. Direct exposure — a language model could plausibly cut the time to do this task by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 1.00. Automation potential label: T3.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.003% share of AI-use records mapped to this task

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Other tasks in this occupation

• Define regional or local transportation planning problems or priorities. · importance 4.3
• 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. · importance 4.3
• Prepare reports or recommendations on transportation planning. · importance 4.2
• Collaborate with engineers to research, analyze, or resolve complex transportation design issues. · importance 4.2
• Recommend transportation system improvements or projects, based on economic, population, land-use, or traffic projections. · importance 4.2
• Analyze information related to transportation, such as land use policies, environmental impact of projects, or long-range planning needs. · importance 4.1
• Design transportation surveys to identify areas of public concern. · importance 4.0
• Interpret data from traffic modeling software, geographic information systems, or associated databases. · importance 4.0
• Collaborate with other professionals to develop sustainable transportation strategies at the local, regional, or national level. · importance 4.0
• Evaluate transportation project needs or costs. · importance 4.0
• Analyze information from traffic counting programs. · importance 3.9
• Review development plans for transportation system effects, infrastructure requirements, or compliance with applicable transportation regulations. · importance 3.8
• Prepare necessary documents to obtain planned project approvals or permits. · importance 3.8
• Produce environmental documents, such as environmental assessments or environmental impact statements. · importance 3.7

See all tasks on the Transportation Planners page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-16948,
  title  = {Develop computer models to address transportation planning issues.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-16948}
}