Fleet data for the City of Cincinnati's vehicles and equipment includes asset types, costs, maintenance classes, and replacement estimates. The dataset is maintained by the city's Fleet Services Division and is updated daily. It contains over 30 columns detailing specifications, ownership, and operational status.
Use Cases
- Predict ASSET_TYPE from YEAR, CAB_AXLE_LEN, and CAPY_TRANSMISSION using classification models.
- Analyze maintenance schedules by correlating CLASS_CLASS_PM with DEPRECIATION_METHOD and DELIVERY_DATE.
- Model vehicle replacement timelines using YEAR, DEPREC_MONTHS_LIFE, and ESTIMATE REPLACEMENT information.
- Segment fleet assets by DEPARTMENT and FUNDING for budget allocation analysis.
- Identify fuel type patterns by analyzing ANY_FUEL_TYPE across different ASSET_TYPE categories.
Strengths
- Daily update frequency ensures current operational status.
- Over 30 columns provide detailed asset specifications and financial data.
- Includes a published data dictionary for column definitions.
Limitations
- Unknown total row count prevents assessment of dataset scale.
- Sample data is unavailable to verify data distributions and quality.
- Geographic coverage is limited to a single city (Cincinnati).
Provenance
- Source
- Fleet Services Division, Department of Public Services, City of Cincinnati.
- Collection Method
- Administrative data from fleet management systems, processed by the Office of Performance and Data Analytics.
- Time Range
- null
- Freshness
- Daily
- Geography
- City of Cincinnati, Ohio, USA.