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.
Blight Score β Composite Index
How each parcel receives its 0β100 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 0β100. Tier assignment: Tier 1 (Critical): 75β100 Tier 2 (High): 50β74 Tier 3 (Moderate): 25β49 Tier 4 (Low): 0β24
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).
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 = β 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
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 1978β83) 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 βcost of leaving things as they areβ 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.
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 2009β2023 empirical ratio: 5.6β7.5%
// 2. Pittsburgh inventory cost model: ~$34.8M Γ· ~$683M = 5.1% (platform-derived)
// 3. HUD/PHFA federal program thresholds: 10β50% public match
// These are three anchor points, not three independent confirmations.Pittsburgh Co-Investment Simulation Β· 2024β2026
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.
Data Sources
The core datasets powering the platform β 12 shown of 60+ registered feeds (Aug 2026)
| Source | Refresh |
|---|---|
| WPRDC β PLI Violations & Permits | Weekly |
| WPRDC β Allegheny County Assessment | Monthly |
| WPRDC β Police Incident Blotter | Weekly |
| City of Pittsburgh β Treasury Sale Listings | Quarterly |
| City of Pittsburgh β Tax Delinquency Roll | Quarterly |
| City of Pittsburgh β TIF District Boundaries | Annual |
| Opportunity Atlas (Chetty et al.) | 2018 tract release (children born 1978β83); no newer tract-level product exists |
| FRED (Federal Reserve Economic Data) | Monthly |
| PA DCED β RACP Grant Records | Annual |
| Tri-COG Land Bank β Cost Benchmarks | Static |
| Center for Community Progress β Tri-COG Land Bank Strategic Plan 2023-27; 2014 business-plan evaluation; National Land Bank Network survey | Static (roster re-verified from tricoglandbank.org) |
| PGH2050 Comprehensive Plan | Plan revision |
Benchmarks & Anchors
External research the platform builds on β and which figures are platform-derived
Tri-COG Land Bank
Ongoing
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)
2009β2023, 14-year record
Key finding: ~$450M public/philanthropic deployed against ~$6β8B private activity β a 5.6β7.5% 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
Key finding: Census-tract upward-mobility outcomes for children born 1978β83 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
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 $15Kβ$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