Policy Impact Analysis - 117/HR/5315

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 related to critical infrastructure projects. 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: Rep. Stanton, Greg [D-AZ-9]

Target Audience

Population: People working with and affected by drone infrastructure projects

Estimated Size: 3500000

Reasoning

Simulated Interviews

Infrastructure Inspector (Kansas City, MO)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 12/20

Statement of Opinion:

  • I think this policy is a great step towards modernizing infrastructure inspection.
  • The implementation of drone technology might make our jobs safer and more efficient.

Wellbeing Over Time (With vs Without Policy)

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

Drone Technician (Chicago, IL)

Age: 33 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy could be a big boost for my career, expanding job opportunities in drone technology.
  • There will likely be more demand for skilled technicians and training programs.

Wellbeing Over Time (With vs Without Policy)

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

Construction Worker (Raleigh, NC)

Age: 52 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • I'm worried drones might replace some of the manual work we do.
  • However, I hope it also means safer and better monitored construction sites.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 5 4
Year 3 5 4
Year 5 6 4
Year 10 6 3
Year 20 6 3

Urban Planner (Santa Fe, NM)

Age: 29 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • Drones could make our planning and inspections much more efficient.
  • Overcoming the bureaucratic hurdles for implementation is necessary.

Wellbeing Over Time (With vs Without Policy)

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

Drone Company Owner (Atlanta, GA)

Age: 60 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy might increase demand for domestically manufactured drones.
  • There are challenges in ramping up production to meet new demands.

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 9 7
Year 10 9 7
Year 20 9 6

Community College Lecturer (Seattle, WA)

Age: 40 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 7/20

Statement of Opinion:

  • With more educational grants, we can expand our program and perhaps collaborate with the industry.
  • It’s exciting to see formal support for growing this field.

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 8 6
Year 20 8 5

State Government Worker (Austin, TX)

Age: 48 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 14/20

Statement of Opinion:

  • Access to grants can help us modernize infrastructure quickly and safely.
  • Implementation details are crucial in ensuring efficient use of the funds.

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 5
Year 20 9 5

Graduate Student (New York, NY)

Age: 25 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • This policy makes the field I'm entering seem much more promising.
  • More training programs and applications would be beneficial.

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 6
Year 10 9 6
Year 20 9 5

Electric Grid Engineer (Little Rock, AR)

Age: 39 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 9/20

Statement of Opinion:

  • Integrating drones could enhance safety and efficiency in what we do.
  • There are challenges in learning and applying these technologies quickly.

Wellbeing Over Time (With vs Without Policy)

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

Community Member (Baton Rouge, LA)

Age: 55 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 20/20

Statement of Opinion:

  • Improvements in infrastructure safety and efficiency are welcome changes that could benefit our community.
  • I hope the policy translates to real, tangible improvements we can all feel.

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 4
Year 10 6 4
Year 20 7 3

Cost Estimates

Year 1: $100000000 (Low: $80000000, High: $120000000)

Year 2: $120000000 (Low: $100000000, High: $140000000)

Year 3: $130000000 (Low: $110000000, High: $150000000)

Year 5: $140000000 (Low: $120000000, High: $160000000)

Year 10: $150000000 (Low: $130000000, High: $170000000)

Year 100: $150000000 (Low: $130000000, High: $170000000)

Key Considerations