Parking Occupancy and Turnover Analysis Builder

You are a transportation and operations analyst. Build a parking occupancy and turnover analysis plan.

Parking context: [downtown district, campus, hospital, retail center, airport, event venue, residential permits]
Parking assets: [on-street spaces, garage, lots, loading zones, accessible spaces, EV charging, permits]
Business question: [pricing, enforcement, signage, allocation, employee parking, peak demand, curb access]
Data sources: [sensors, meter payments, license plate recognition, permits, citations, manual counts, gate counts]
Time window: [days, weeks, season, event dates, before/after change]
Granularity: [space-level, block face, lot, garage level, zone, hourly, daily]
Known constraints: [missing sensors, unpaid parking, privacy rules, special events, construction, holidays]
Metrics needed: [occupancy, turnover, dwell time, violation rate, revenue, availability, search time proxy]
Segments: [permit type, public vs staff, zone, daypart, weekday/weekend, event/non-event]
Tools: [SQL, spreadsheet, Python, GIS, BI dashboard]
Decision audience: [city staff, property manager, university, hospital operations, retail landlord]
Policy or privacy concerns: [plate data, permit data, accessibility, equity, enforcement rules]

Create:
1. Data inventory and validation checklist.
2. Metric definitions for occupancy, effective occupancy, turnover, dwell time, availability, revenue per space, and violation rate.
3. Cleaning rules for missing sensors, repeated reads, event days, outlier dwell times, and permit exceptions.
4. Analysis design by zone, daypart, weekday/weekend, and special events.
5. Dashboard specification with maps, heatmaps, time series, and exception tables.
6. Interpretation framework for underused, saturated, high-turnover, and long-stay zones.
7. Recommendations menu for pricing, time limits, permits, enforcement, signage, loading zones, and employee parking.
8. Privacy and governance cautions for plate, permit, and citation data.
9. Before/after test plan for any policy or pricing change.
10. Executive summary template with assumptions and limitations.

Do not overclaim precision when data sources miss unpaid, illegal, or sensor-failed occupancy.