The Impacts of Vehicle Automation on the Public Transportation Workforce (2022) / Chapter Skim
Currently Skimming:
Pages 99-108
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 99... ...
A-1 Description of Methodology to Estimate FTEs per Directly Affected Operations Job The workforce effect calculator in this study required the current number of employees in the service type to which the use case applied. This appendix describes the methods to collect data about the current transit employee counts.
|
From page 100... ...
A-2 The Impacts of Vehicle Automation on the Public Transportation Workforce urban agencies, based on the service size [i.e., total vehicles operated in annual maximum service (VOMS)
|
From page 101... ...
Description of Methodology to Estimate FTEs per Directly Affected Operations Job A-3 ratio of total vehicles available for maximum service (VAMS) to FTEs was calculated.
|
From page 102... ...
A-4 The Impacts of Vehicle Automation on the Public Transportation Workforce Agency Type and Position Service to Employee Ratio Ratio Source Service Data (2018 NTD) Rationale Rural Revenue hours per operator FTE NTD small urban reporters' directly operated service Revenue hours from rural reporters Surveyed rural agency revenue hours per operator ratios were not reasonable.
|
From page 103... ...
Description of Methodology to Estimate FTEs per Directly Affected Operations Job A-5 Position and Mode Revenue Hoursa Revenue Hours per FTEb Estimated FTEsc Operator 27,288,457 17,834 Fixed route 6,908,592 1,418.7d 4,870 Demand response 20,379,865 1,572.0d 12,964 BRTe Dispatcher 27,288,457 1,791 Fixed route 6,908,592 18,457.3 374 Demand response 20,379,865 14,389.9 1,416 BRTe Supervisor 27,288,457 691 Fixed route 6,908,592 49,219.3 140 Demand response 20,379,865 37,029.0 550 BRTe aRevenue hours were obtained from the 2018 NTD, rural reporters only. bUnless otherwise specified, revenue hours per FTE were obtained from transit agencies that responded to TTI's staffing count survey.
|
From page 104... ...
A-6 The Impacts of Vehicle Automation on the Public Transportation Workforce Position and Mode Revenue Hoursa Revenue Hours per FTEb Estimated FTEsc Operator 19,479,433 13,266 Fixed route 12,720,966 1,418.7 8,967 Demand response 6,758,467 1,572.0 4,299 BRTd Dispatcher 19,479,433 705 Fixed route 12,720,966 76,531.9 166 Demand response 6,758,467 12,546.5 539 BRTd Supervisor 19,479,433 623 Fixed route 12,720,966 31,724.2 401 Demand response 6,758,467 30,405.3 222 BRTd a Revenue hours were obtained from the 2018 NTD, small urban reporters only. b Unless otherwise specified, revenue hours per FTE were obtained from transit agencies that responded to TTI's staffing count survey.
|
From page 105... ...
Description of Methodology to Estimate FTEs per Directly Affected Operations Job A-7 Operator 203,598,360 136,522 Fixed route 154,505,818 1,508.6 102,419 Demand response 48,025,435 1,436.4 33,435 BRT 1,067,107 1,595.6 669 Dispatcher 203,598,360 7,238 Fixed route 154,505,818 41,495.4 3,723 Demand response 48,025,435 14,007.4 3,429 BRT 1,067,107 12,443.0 86 Supervisor 203,598,360 4,133 Fixed route 154,505,818 55,590.3 2,779 Demand response 48,025,435 36,776.2 1,306 BRT 1,067,107 22,172.9 48 Position and Mode Revenue Hoursa Revenue Hours per FTEb Estimated FTEsc a Revenue hours were obtained from the 2018 NTD, large urban reporters only. b Unless otherwise specified, revenue hours per FTE were obtained from transit agencies that responded to TTI's staffing count survey.
|
From page 106... ...
A-8 The Impacts of Vehicle Automation on the Public Transportation Workforce Quality Assessment of the Estimation The research team compared the estimated number of current employees with other sources, including BLS values and 2018 NTD data. All BLS occupations were filtered down to include only the following industries: • Urban Transit Systems (485100)
|
From page 107... ...
Description of Methodology to Estimate FTEs per Directly Affected Operations Job A-9 Position Estimates BLS Value Notes (with the Research Team's Interpretation) Bus Operator 167,623 131,880 BLS occupation: Bus Drivers, Transit and Intercity (SOC 53-3052)
|
From page 108... ...
A-10 The Impacts of Vehicle Automation on the Public Transportation Workforce Assuming that the research team's job counts and NTD job counts represented those same job classifications, the NTD job counts should be about 57 percent of TTI's estimated job counts for revenue-hour-based positions and 52 percent of TTI's estimated job counts for revenuemile-based positions. Of course, NTD's data elements only aligned exactly with the bus operator position.
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.