Methodology

How the blight score works

Here's the full methodology: how parcels are scored, how ROI is modeled, how the co-investment trigger model qualifies permit events, and which external benchmarks anchor the numbers. Figures produced by platform simulation are labeled as such.

01

Blight Score β€” Composite Index

How each parcel receives its 0–100 blight severity score

Every parcel in the dataset receives a Blight Score between 0 (no blight indicators) and 100 (severely blighted). The score is a weighted composite of eight indicator dimensions, each sourced from a distinct city or county dataset.

BlightScore = (
  0.25 Γ— StructuralScore   +   // condemnation, IPMC unsafe-structure flag, PLI
  0.20 Γ— CrimeProximity    +   // weighted crime incident counts, 500m radius
  0.20 Γ— TaxDelinquency    +   // prior_years β‰₯ 2 + amount owed; treasury sale
  0.15 Γ— OwnerProfile      +   // absentee flag, out-of-municipality owner
  0.10 Γ— VacancyDuration   +   // year-built + permit-absence-derived proxy
  0.10 Γ— LienStacking          // PLI violation count (count-based proxy)
)

Normalized to 0–100. Tier assignment:
  Tier 1 (Critical): 75–100
  Tier 2 (High):     50–74
  Tier 3 (Moderate): 25–49
  Tier 4 (Low):      0–24

The weights reflect the platform author's calibration against the full Pittsburgh assessor roll (n=584,896 parcels) using distributional-sanity checks β€” tier breakpoints chosen so critical and high tiers match the rough order of magnitude of PLB's publicly reported inventory counts. Weights have not been fitted against a held-out sample of known-outcome parcels; no external audit has been performed. Parcels with active condemnation orders receive a minimum structural score of 95 regardless of other indicators (v5.1 rule; parcels with IPMC "unsafe structure" citations receive a floor of 85).

Tier 1
Critical
75–100
Tier 2
High
50–74
Tier 3
Moderate
25–49
Tier 4
Low
0–24

02

ROI Model

How parcel-level return on investment is estimated

The platform estimates the net public value of a blight intervention on a specific parcel: direct remediation cost against the value restored to neighboring homes, the taxes and service costs the public recovers, and safety. It follows the public-cost frame the Urban Redevelopment Authority itself commissioned (Center for Community Progress, 2017).

// Net public value (v6.6, September 2026) β€” OMB A-94 NPV, 20 years, 3.1% real
NPV = βˆ’ intervention_cost + one_time_benefit + PV(annual_benefits)

intervention_cost  = base_cost[demolition|rehab|land_bank|conservatorship|p3]
                     Γ— FRED cost index (construction PPI, or legal-services CPI)

one_time_benefit   = value restored to RESIDENTIAL neighbors within 500 ft:
                     Ξ£ neighbor_value Γ— 3.15% Γ— min(distressed_structures_nearby, 5) / n
                     (Community Progress for the URA, 2017 β€” the parcel's OWN value is the
                      owner's, shown separately, never counted as public benefit)

annual_benefits    = tax recovered where tax is actually being lost
                   + service cost the city stops paying at a distressed property
                     (measured: $1,425/yr in 2015 $, rolled to today by CPI-U)
                   + crime reduction (DOJ social cost Γ— Branas attribution)

Every positive figure is Solid: nothing in the NPV rests on a projected or
allocated community benefit. Rankings use urgency first (blight tier, then
whether the public already has authority to act), and net public value as
the tie-breaker; the user may switch the order.

Model Inputs & Anchors

4.5Γ—
Modeled median ROI across interventions (April 2026 simulation; range 1.2×–18.7Γ— β€” the economic model has been revised since, see the landing-page note)
3.15%
Neighbor value depressed per distressed structure within 500 ft (Community Progress 2017, eight-study meta-analysis) β€” the one-time benefit anchor; Tri-COG's $5,145 average neighbor loss (2022) is a local cross-check

Limitations: The ROI model estimates economic value restoration, not financial return to any single investor. Remediation cost figures are medians calibrated by FRED construction-PPI; actual costs vary by contractor and condition. Adjacent-value restoration applies the Community Progress spillover rate to each parcel's actual residential neighbors within 500 feet β€” a modeling assumption grounded in published hedonic studies, not a measured outcome on these parcels. TIF amplification assumes the parcel comes back onto tax rolls within 3 years of remediation. The model has not been validated against a held-out sample of known-outcome parcels.

Solid, by construction (v6.6, September 2026): every net-public-value figure counts only recovered taxes, neighbors' property value, avoided service cost and safety. The projected community benefit that earlier versions allocated from Opportunity Atlas tract estimates (2018 release, children born 1978–83) was removed from every figure in September 2026 after it was found to decide the sign of most positive recommendations; the Atlas remains a context layer for the equity check on every ranked list. Every figure also carries a plausible range built from our own cost and assessment reference classes, not a fitted confidence interval. Future benefits are discounted at 3.1% real (OMB Circular A-94) over 20 years. The separate β€œcost of leaving things as they are” figure is fiscal β€” tax being lost, measured service cost, and the tax forgone on depressed neighbor value β€” stated in today's dollars, with the social cost of crime shown beside it and the items it does not count (water and sewer arrears, health) named.


03

Co-Investment Trigger Model

How private permit events qualify as co-investment windows

The co-investment trigger model is the platform's thesis about when blight intervention has its highest marginal return: when a qualifying private-permit event creates a time-bounded window for remediating adjacent blighted parcels before the market reprices them. Below is the qualification logic; real-time alerting off live permit ingestion is on the product roadmap but not yet wired end-to-end.

// Qualification logic (applied to a permit feed)
A permit qualifies as a co-investment trigger when ALL are true:
  1. BBI permit value >= $1,000,000
  2. At least one critical- or high-tier parcel within 500m
  3. Permit type in {commercial, residential, mixed-use, institutional}
  4. Corridor is not in "active remediation" lockout

// Recommended budget per qualifying trigger
recommended_co_investment = permit_value Γ— 0.05

// The 5% figure is informed by three reference points (see report):
//   1. Cuyahoga Land Bank 2009–2023 empirical ratio: 5.6–7.5%
//   2. Pittsburgh inventory cost model: ~$34.8M Γ· ~$683M = 5.1%  (platform-derived)
//   3. HUD/PHFA federal program thresholds: 10–50% public match
// These are three anchor points, not three independent confirmations.

Pittsburgh Co-Investment Simulation Β· 2024–2026

The figures below come from this platform's researched dossier of seven Pittsburgh development corridors (see the full report). They are not the output of an operating real-time trigger engine running against live permit data; they are a hand-compiled portfolio used to pressure-test the 5% framework.

7
Corridors researched in the simulation portfolio
$4.1B
Aggregate private-signal value (researched)
$185M
Recommended co-investment at 5%
$9.95M
Estimated deployment (URA / PLB / DCED, approximate)

04

Data Sources

The core datasets powering the platform β€” 12 shown of 60+ registered feeds (Aug 2026)

SourceRefresh
WPRDC β€” PLI Violations & PermitsWeekly
WPRDC β€” Allegheny County AssessmentMonthly
WPRDC β€” Police Incident BlotterWeekly
City of Pittsburgh β€” Treasury Sale ListingsQuarterly
City of Pittsburgh β€” Tax Delinquency RollQuarterly
City of Pittsburgh β€” TIF District BoundariesAnnual
Opportunity Atlas (Chetty et al.)2018 tract release (children born 1978–83); no newer tract-level product exists
FRED (Federal Reserve Economic Data)Monthly
PA DCED β€” RACP Grant RecordsAnnual
Tri-COG Land Bank β€” Cost BenchmarksStatic
Center for Community Progress β€” Tri-COG Land Bank Strategic Plan 2023-27; 2014 business-plan evaluation; National Land Bank Network surveyStatic (roster re-verified from tricoglandbank.org)
PGH2050 Comprehensive PlanPlan revision

05

Benchmarks & Anchors

External research the platform builds on β€” and which figures are platform-derived

Tri-COG Land Bank

Ongoing

External anchor

Key finding: $5,145 adjacent property value restored per remediated structure

Used as one input anchor in the ROI model's adjacent-value restoration term. The figure itself is external; its application to Pittsburgh parcels via a propagation radius is a platform modeling choice.

Cuyahoga Land Bank (Cleveland)

2009–2023, 14-year record

External precedent

Key finding: ~$450M public/philanthropic deployed against ~$6–8B private activity β€” a 5.6–7.5% empirical ratio

The strongest peer benchmark. Cuyahoga's multi-decade co-investment ratio is one of three reference points informing the 5% figure used elsewhere on this site. It remains a Cleveland-specific outcome, not evidence that Pittsburgh would behave identically.

Opportunity Atlas (Chetty et al.)

2018 tract release

External anchor

Key finding: Census-tract upward-mobility outcomes for children born 1978–83 β€” a context layer since September 2026: it flags high-need tracts for the equity check on every ranked list and no longer enters any dollar figure

Held in the platform's mobility_context table as context: the below-median-mobility flag feeds the equity share reported on every ranked list and the need-first ordering; it carries no dollar value since v6.6.1 (September 2026).

Pittsburgh Inventory Cost Model

Platform-derived, Jan 2026

Platform estimate

Key finding: ~$34.8M/year remediation-need estimate against PLB's ~23,757-parcel inventory at blended cost

A bottom-up cost model built inside this platform using PLB's published inventory count Γ— blended $15K–$25K remediation-cost range Γ· 5-year elimination horizon. It is not a figure PLB has published, and should not be cited as external research. Presented here for transparency about how platform-derived numbers relate to the 5% recommendation.

Questions about the methodology? Contact contact@blightintel.com