Policy Impact Analysis - 117/HR/9376

Bill Overview

Title: National Drone and Advanced Air Mobility Initiative Act

Description: This bill establishes the National Drone and Advanced Air Mobility Initiative within the White House Office of Science and Technology Policy to advance relevant technologies and capabilities related to unmanned aircraft systems (or drones). It also requires the National Aeronautics and Space Administration (NASA), the National Institutes of Standards and Technology, the Department of Energy, and various other federal agencies to support research, development, and related activities concerning drones. Additionally, the bill (1) limits the Federal Aviation Administration's authority to regulate drones that are flown for research purposes and meet conditions to limit risks to other aircraft; and (2) prohibits the purchase or operation of a drone from China, Iran, North Korea, or Russia, except for research to improve U.S. capabilities to counter drones.

Sponsors: Rep. Lucas, Frank D. [R-OK-3]

Target Audience

Population: People in industries involved with or impacted by drone technology

Estimated Size: 10000000

Reasoning

Simulated Interviews

Drone software developer (Silicon Valley, CA)

Age: 35 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • I believe this initiative is crucial for keeping the US competitive in drone technologies.
  • There will likely be more job opportunities and project funding, which is exciting for developers.

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 10 8
Year 20 10 8

Farmer (St. Louis, MO)

Age: 29 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • The policy could make drone technology more accessible and reliable for agricultural use.
  • I'm concerned about the restriction on drone origins; affordable options might become limited.

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 7
Year 20 9 7

Airline safety inspector (Dallas, TX)

Age: 54 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Changing regulations can be a safety risk if not managed properly.
  • I hope research improves drone safety to mitigate these concerns.

Wellbeing Over Time (With vs Without Policy)

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

Hobbyist drone pilot (Rural Virginia)

Age: 42 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • Drones from foreign markets are often cheaper, which is better for a hobbyist like me.
  • The research aspect seems unnecessary for casual users.

Wellbeing Over Time (With vs Without Policy)

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

Film industry drone operator (New York, NY)

Age: 27 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 15.0 years

Commonness: 8/20

Statement of Opinion:

  • The evolving tech will likely enhance film industry capabilities.
  • I worry about the cost of transitioning to approved drone sources.

Wellbeing Over Time (With vs Without Policy)

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

Logistics company manager (Seattle, WA)

Age: 60 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 7/20

Statement of Opinion:

  • This could place us at the forefront of delivery technology.
  • Budget allocations might restrict smaller firms less able to pivot quickly.

Wellbeing Over Time (With vs Without Policy)

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

Public safety officer (Miami, FL)

Age: 33 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • Increased capability could make emergency response more efficient.
  • Policy might increase costs and affect budget allocations.

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 7
Year 10 9 7
Year 20 9 7

University research scientist (Denver, CO)

Age: 48 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy should provide more funding opportunities for research.
  • However, it could limit the sources of equipment due to restrictions.

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 8
Year 10 10 8
Year 20 10 8

Drone journalist (Boston, MA)

Age: 39 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • Enhanced domestic drone capabilities could enhance my work.
  • Limitations on foreign drones may raise costs.

Wellbeing Over Time (With vs Without Policy)

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

Defense contractor (Chicago, IL)

Age: 45 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • Strengthening policies align with our operations and secure our market share.
  • This policy reinforces national security measures against foreign threats.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $550000000 (Low: $450000000, High: $650000000)

Year 2: $560000000 (Low: $460000000, High: $660000000)

Year 3: $570000000 (Low: $470000000, High: $670000000)

Year 5: $580000000 (Low: $480000000, High: $680000000)

Year 10: $600000000 (Low: $500000000, High: $700000000)

Year 100: $600000000 (Low: $500000000, High: $700000000)

Key Considerations