Policy Impact Analysis - 117/HR/7863

Bill Overview

Title: Disaster Resiliency Planning Act

Description: This bill requires the Office of Management and Budget to establish guidance that requires federal agencies to incorporate natural disaster resilience into real property asset management and investment decisions. Specifically, the guidance must direct each agency to incorporate assessments of natural disaster risk information conducted by the agency, such as from vulnerability and other risk assessments, into real property asset management and investment decisions.

Sponsors: Rep. Carter, Troy [D-LA-2]

Target Audience

Population: People worldwide potentially benefiting from improved disaster-resilient infrastructure

Estimated Size: 330000000

Reasoning

Simulated Interviews

Federal Building Manager (Miami, FL)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • I think incorporating natural disaster resilience into our asset management is crucial, especially in areas like Miami.
  • This policy could help us better assess and mitigate risks associated with hurricanes, potentially saving lives and reducing repair costs.

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 5
Year 10 9 5
Year 20 9 4

Construction Engineer (Denver, CO)

Age: 30 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • Integrating disaster resilience into planning is something we've been pushing for years.
  • This bill should create new opportunities and set higher standards across construction projects.

Wellbeing Over Time (With vs Without Policy)

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

Retired (New Orleans, LA)

Age: 65 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Policies that address infrastructure and disaster risk are very much needed here.
  • If federal buildings are better protected, maybe this approach could extend to more local infrastructure improvements.

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 7 5
Year 10 7 5
Year 20 6 5

Urban Planner (San Francisco, CA)

Age: 50 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • Having a mandatory framework for disaster resilience is a significant step forward.
  • It could make a huge difference in how cities like ours plan future developments.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Scientist (Houston, TX)

Age: 25 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 13/20

Statement of Opinion:

  • The inclusion of up-to-date risk assessments in planning processes is vital.
  • This could reinforce the practical side of our climate change research.

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 8 6
Year 10 9 6
Year 20 9 5

Federal Policy Analyst (Washington, D.C.)

Age: 40 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 10.0 years

Commonness: 14/20

Statement of Opinion:

  • This connects high-level policy-making with practical, on-the-ground benefits.
  • It will guide future policy work in federal infrastructure investments.

Wellbeing Over Time (With vs Without Policy)

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

State Emergency Coordinator (Kansas City, MO)

Age: 55 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 8.0 years

Commonness: 11/20

Statement of Opinion:

  • Bridging federal and local perspectives on disaster resilience is crucial.
  • This policy could foster a more integrative approach between different government levels.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Phoenix, AZ)

Age: 62 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • Improved resilience could ensure continuity in operations during a disaster.
  • There's a bit of uncertainty about direct impacts, but overall positive outlook if it secures federal infrastructure.

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 7 4
Year 20 7 4

Civil Rights Advocate (Portland, OR)

Age: 29 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Strengthening public properties is good, but it should benefit everyone evenly, especially vulnerable groups.
  • We need transparency to ensure marginalized communities are not overlooked.

Wellbeing Over Time (With vs Without Policy)

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

Federal Land Ranger (Anchorage, AK)

Age: 48 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • Federal lands are at the forefront of disaster risks; this policy could help us better prepare.
  • Improvements might take time but are essential for long-term ecological integrity.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $700000000 (Low: $600000000, High: $800000000)

Year 2: $720000000 (Low: $610000000, High: $830000000)

Year 3: $740000000 (Low: $620000000, High: $860000000)

Year 5: $780000000 (Low: $650000000, High: $900000000)

Year 10: $860000000 (Low: $700000000, High: $1030000000)

Year 100: $1400000000 (Low: $1000000000, High: $2000000000)

Key Considerations