Policy Impact Analysis - 117/S/4744

Bill Overview

Title: Drone Infrastructure Inspection Grant Act

Description: This bill establishes programs within the Department of Transportation (DOT) to support the use of drones and other small, unmanned aircraft systems when inspecting, repairing, or constructing road infrastructure, electric grid infrastructure, water infrastructure, or other critical infrastructure. Specifically, DOT must award grants to state, tribal, and local governments; metropolitan planning organizations; or groups of those entities to purchase or otherwise use drones to increase efficiency, reduce costs, improve worker and community safety, reduce carbon emissions, or meet other priorities when carrying out inspections, repairs, and construction. Grant recipients must use domestically manufactured drones that are made by companies not subject to influence or control from certain foreign entities, including China and Russia. DOT must also award grants to certain institutions of higher education for training students for careers using drones and related technologies.

Sponsors: Sen. Rosen, Jacky [D-NV]

Target Audience

Population: People involved in infrastructure operations, drone technology, and directly affected communities

Estimated Size: 20000000

Reasoning

Simulated Interviews

Civil Engineer (Phoenix, Arizona)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • I'm hopeful that using drones will make road inspections faster and safer; fewer people need to be physically in hazardous areas.
  • Cutting costs with drones might help our department allocate funds to other necessary projects.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 6
Year 20 7 6

Drone Manufacturer (Detroit, Michigan)

Age: 37 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • This initiative could boost our business significantly since we focus on the types of drones needed.
  • With restrictions on foreign-made drones, we have a competitive edge.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 5
Year 2 8 5
Year 3 8 5
Year 5 9 5
Year 10 8 5
Year 20 7 5

Drone Pilot Trainer (Denver, Colorado)

Age: 28 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • The grants for educational institutions will allow us to expand our programs.
  • More students are expected to enroll, increasing job security for trainers like me.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 6
Year 10 9 6
Year 20 8 6

Electrician (Rural Arkansas)

Age: 52 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 13/20

Statement of Opinion:

  • I'm curious but hesitant about drone usage; part of me is worried it could replace some jobs.
  • Efficiency and safety improvements could be beneficial to all of us working on grid maintenance.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 6 5
Year 3 6 5
Year 5 6 5
Year 10 6 5
Year 20 5 5

Student (Boston, Massachusetts)

Age: 22 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 15/20

Statement of Opinion:

  • The scholarship allows me to pursue a career in a growing field.
  • Knowing there's industry support for drones makes me feel confident about job prospects.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 9 7
Year 5 9 7
Year 10 9 7
Year 20 8 7

Municipal Government Worker (Los Angeles, California)

Age: 40 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • I'm optimistic about the potential cost savings and safety benefits from using drones in projects.
  • Budget constraints mean we have to prove efficiency gains quickly.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 7 6
Year 10 6 6
Year 20 6 6

Water Infrastructure Analyst (Houston, Texas)

Age: 29 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 13/20

Statement of Opinion:

  • This could allow us to scan infrastructures more frequently and effectively.
  • I'm looking forward to collaborating with new drone companies.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 7 6
Year 10 6 6
Year 20 6 6

Environmental Researcher (New York, New York)

Age: 33 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 9/20

Statement of Opinion:

  • Reducing emissions via drone technology is a step in the right direction.
  • It’s crucial that implementation occurs with environmentally friendly practices in mind.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 8 7
Year 10 9 7
Year 20 7 7

Community Organizer (Miami, Florida)

Age: 55 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 11/20

Statement of Opinion:

  • I'm interested in seeing how drone technology affects community safety and engagement.
  • I worry about equitable implementation across all communities.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 6 5
Year 5 6 5
Year 10 6 5
Year 20 5 5

Construction Manager (Chicago, Illinois)

Age: 42 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 13/20

Statement of Opinion:

  • I’m glad to see infrastructure getting improvements, drones should speed up some of our work.
  • I hope the technology is user-friendly and doesn't require too much retraining time.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 7 6
Year 20 6 6

Cost Estimates

Year 1: $75000000 (Low: $60000000, High: $90000000)

Year 2: $70000000 (Low: $55000000, High: $85000000)

Year 3: $70000000 (Low: $55000000, High: $85000000)

Year 5: $65000000 (Low: $50000000, High: $80000000)

Year 10: $60000000 (Low: $45000000, High: $75000000)

Year 100: $50000000 (Low: $40000000, High: $60000000)

Key Considerations