Large Asset Portfolios
Multiple agencies owned and managed large portfolios of buildings, infrastructure, parks, schools, hospitals, housing, and utility systems.
Section 428 fixed grants worked best where applicants had strong capital-project systems, asset records, estimating capacity, insurance expertise, and portfolio controls. Puerto Rico showed what happens when fixed estimates face island logistics, inflation, procurement delays, long recovery timelines, and system-scale reconstruction.
New York City’s Sandy recovery showed how Section 428 can help a sophisticated applicant manage a complex recovery portfolio. NYC had large asset-owning agencies, capital-budget capacity, outside technical support, insurance expertise, and the ability to manage projects across a large portfolio.
Multiple agencies owned and managed large portfolios of buildings, infrastructure, parks, schools, hospitals, housing, and utility systems.
NYC could use engineers, architects, estimators, procurement staff, budget analysts, grant managers, and construction managers.
Fixed-cost underruns and overruns are easier to manage when an applicant has many projects and centralized fiscal oversight.
NYC’s relative success was not accidental. It reflected institutional capacity that many local applicants do not have, especially smaller municipalities, rural governments, special districts, and eligible nonprofits.
Large agencies had better records, facility inventories, engineering data, insurance schedules, and capital-planning information.
OMB-level coordination and capital-budget tools helped manage timing differences between FEMA funding, project delivery, and local financing.
NYC could mobilize professional advisors for cost estimating, FEMA formulation, insurance, procurement, design, and construction management.
Experienced public owners can better challenge inadequate scope, price assumptions, escalation factors, and FEMA formulation decisions before accepting fixed funding.
Puerto Rico used Section 428 at massive scale after Hurricanes Irma and Maria. What had been an alternative procedure became a central recovery architecture for thousands of permanent-work projects. That scale exposed weaknesses in fixed-cost estimating.
Island logistics, labor scarcity, materials importation, damaged infrastructure, limited contractor capacity, and uncertain recovery timelines made standard cost estimating difficult.
Projects priced early could become stale before procurement and construction, especially where recovery stretched over many years.
The disaster construction market is not fixed. Labor, materials, equipment, freight, fuel, and contractor capacity can move dramatically.
Puerto Rico’s recovery was not just individual project repair. It involved system-scale reconstruction across power, water, wastewater, schools, public buildings, roads, and critical services. System-scale estimates require different safeguards than ordinary project estimates.
Large populations of assets require sampling, statistical assumptions, and portfolio-level validation.
Power, water, wastewater, and public facilities can require long-lead equipment, imported labor, phased work, and specialized contractors.
When one system or project exceeds its fixed estimate, funding pressure can shift to later projects or other subrecipients.
The experience from NYC, Puerto Rico, and island/remote recovery points to a predictable set of failure modes that must be addressed before any fixed-grant model is expanded nationally.
Fixed grants do not affect all applicants equally. The model rewards sophisticated owners and can penalize low-capacity applicants. Local governments and nonprofits need pre-disaster estimating systems before fixed funding becomes the default model.
Maintain facility locations, replacement values, system components, elevations, insurance schedules, and prior repair histories.
Collect local bid tabs, contractor rates, supplier prices, equipment costs, debris costs, and escalation data.
Set up engineering, estimating, claims, procurement, and grant-management support before disaster.