A management review combining real public fleet-readiness data with a transparent scenario model. The goal is to show how I would run the operating review: performance against target, exceptions, maintenance governance, economics and decisions.
NYC Fleet Daily Service Report, September 24, 2026 snapshot: fleet roster, target daily in service, actual in service and fiscal-year-to-date average availability.
Austin-Travis County EMS publishes preventive-maintenance performance for ambulances, command trucks and utility vehicles, including a documented ≥95% on-time scheduled-maintenance standard.
Availability %, target attainment, unit variance, target variance, scenario vehicle-days recovered and estimated economic value of improved availability.
Downtime cost, preventive-maintenance cost, breakdown cost, vendor inflation and availability-improvement scenarios are portfolio assumptions—not city-reported financials.
| Agency | Roster | Target | Actual | FYTD Avg | Gap | Status |
|---|---|---|---|---|---|---|
| DCAS Managed | 2,766 | 2,600 | 2,710 | 2,678 | +110 | Target Met |
| DEP | 2,260 | 2,034 | 2,012 | 2,013 | −22 | Within 10% |
| DOC | 743 | 669 | 678 | 674 | +9 | Target Met |
| DOT | 4,055 | 3,447 | 3,586 | 3,568 | +139 | Target Met |
| DSNY | 6,198 | 4,834 | 4,548 | 4,563 | −286 | Within 10% |
| FDNY | 2,319 | 1,855 | 1,839 | 1,805 | −16 | Within 10% |
| NYPD | 8,818 | 7,936 | 7,828 | 7,798 | −108 | Within 10% |
| Parks | 2,908 | 2,617 | 2,672 | 2,625 | +55 | Target Met |
Reconciliation note: the Citywide line is treated as the authoritative total; agency rows are used for comparative exception management rather than summed to recreate every citywide figure.
1. Prioritize the size of the operating gap.
DSNY and NYPD represent the largest visible unit shortfalls in this snapshot. Start there rather than applying a uniform fleet initiative.
2. Separate daily noise from persistent performance.
Compare actual in-service levels with FYTD averages. A one-day miss requires a different response from a chronic readiness gap.
3. Test maintenance as a cause, not an assumption.
Bring PM compliance into the review before concluding maintenance is driving availability.
4. Quantify scenarios without disguising assumptions.
Let leadership change downtime cost, availability improvement, maintenance cost and vendor inflation to see sensitivity—not fabricated public-sector savings.
The accompanying Excel workbook contains Executive Review, Fleet Availability, Scenario Assumptions, Scenario Model, and Data & Methodology tabs. Hard-coded assumptions are isolated from formulas so a reviewer can audit and change them.
Download the Excel operating model