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Technician Staffing Levels for Modern Public Transit Fleets

This project examines technician staffing levels in modern public transit fleets and provides guidance on evaluating local needs, modeling changes, and improving staffing practices. The findings are outlined in a guidebook and supported by an interactive staffing tool.

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Technician Staffing Levels for Modern Public Transit Fleets

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  1. Technician Staffing Levels for Modern Public Transit Fleets TCRP Project E-10 Summary

  2. TCRP E-10 Project Scope • Analysis of NTD Data, and surveys of 68 • Survey of existing data and outreach to transit agencies to identify main factors driving technician staffing levels • Develop Interactive Staffing Tool to evaluate local needs and model fleet or maintenance practice changes • Develop Guidebook explaining application of findings and how to use Staffing Tool

  3. Analysis of NTD Data • Reviewed NTD submissions from 321 agencies • Correlations identified in several areas: • Between agency size and staffing ratios • Between spare ratio and staffing ratios • Duty cycle and miles based staffing ratios • Data was widely distributed; many outliers might be mistakes in the submission of data or misunderstanding of NTD definitions • Could not really compare “apples to apples”

  4. Detailed Staffing Questionnaires • 68 Participating Agencies • Diversity of Size • Diversity of Geography • Most agencies found it very difficult to provide confident data for the breadth of information sought • A main goal – identifying the right fleet with the right staff • e.g. adjusting for outsourced fleets or maintenance staff maintaining non-transit vehicles

  5. Geographic Distribution of Participants

  6. Size Distribution of Participants

  7. Existing Staffing Levels

  8. Summary of Correlations • Strong correlation between variable and staffing level: • Fleet Size (for core maintenance as well as overall) • Fleet Composition (articulated buses / cut-aways) • Level of Outsourcing

  9. Summary of Correlations – Fleet Size

  10. Summary of Correlations – Outsourcing Effect

  11. Summary of Correlations – Core Maintenance

  12. Summary of Correlations – Fleet Size

  13. Summary of Correlations – Bus Type

  14. Summary of Absent Correlations • Small or no correlation between variable and staffing level • Spare ratio (small correlation, but not as big as NTD data) • Duty Cycle (Fleet mph) (small correlation, not as big as NTD data) • Fleet age (very small) • % of time on scheduled maintenance • % of fleet using alternative fuels Most correlations identified were not as strong as found in NTD Data, but data set much more reliable

  15. Limitations of Data • Breakdown of hours by type of maintenance seems unreliable • Definition of “Scheduled” and “Unscheduled” maintenance varied • Definitions of “Productive time” varied – some based on contract, others actual timesheets

  16. Interactive Staffing Tool The Bus Maintenance Staffing Calculator has three related purposes: • Compare actual current maintenance staffing levels with agencies in your peer group • Planning tool to determine necessary staffing levels for your particular maintenance operation based on existing factors • To model possible changes to maintenance policy to determine the impact it will have on your maintenance staffing levels.

  17. Interactive Staffing Tool - Fleet Composition

  18. Interactive Staffing Tool – Existing Staff

  19. Interactive Staffing Tool – Existing Staff

  20. Interactive Staffing Tool – PMI

  21. Interactive Staffing Tool – Other Core Maintenance

  22. Interactive Staffing Tool – Unscheduled Maintenance and Repairs

  23. Interactive Staffing Tool – Heavy Repair and Overhaul

  24. Staffing Sufficiency Dashboard

  25. Staffing Comparison Dashboard (1 of 2)

  26. Staffing Comparison Dashboard (2 of 2)

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