The Impacts of Vehicle Automation on the Public Transportation Workforce (2022) / Chapter Skim
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Pages 129-134
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From page 129... ...
F-1 Calculator Assumption Descriptions and Rationale This appendix includes a more detailed description and rationale for each of the key workforce effect calculator assumptions made by the research team. Transit Vehicles and Services can be Successfully Automated Assuming transit vehicle automation will eventually be successful is supported by the FTA's ongoing interest and investment in research, pilot projects, and demonstrations of automated transit services as outlined in the FTA's STAR Plan (Machek et al.
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F-2 The Impacts of Vehicle Automation on the Public Transportation Workforce reality but, again, had to assume the use cases, as designed and implemented, would be accepted by passengers and embraced by transit agencies to estimate the potential impact of the use cases on the transit workforce. Workforce Effects were Calculated as if They Happened Immediately Although transit service automation will definitely change the composition of transit jobs and alter the number of labor hours needed to deliver each hour of revenue service, the combined results of these changes on jobs are complex and difficult to predict and are further moderated both by the current number of vacant positions and the number of employees on the verge of retirement.
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Calculator Assumption Descriptions and Rationale F-3 Source: Godavarthy (2019, 9)
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From page 132... ...
F-4 The Impacts of Vehicle Automation on the Public Transportation Workforce • Although funding was a challenge at all transit agencies, rural and small urban agencies often faced continual funding challenges and may also lack dedicated sources of local funding, which were often the most flexible to use for testing and innovation of new technologies and services. • Rural agencies' riders were often composed of higher proportions of seniors and people with disabilities -- people who might feel less comfortable riding or might be unable to ride in an autonomous vehicle (Godavarthy 2019)
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From page 133... ...
Abbreviations and acronyms used without denitions in TRB publications: A4A Airlines for America AAAE American Association of Airport Executives AASHO American Association of State Highway Officials AASHTO American Association of State Highway and Transportation Officials ACI–NA Airports Council International–North America ACRP Airport Cooperative Research Program ADA Americans with Disabilities Act APTA American Public Transportation Association ASCE American Society of Civil Engineers ASME American Society of Mechanical Engineers ASTM American Society for Testing and Materials ATA American Trucking Associations CTAA Community Transportation Association of America CTBSSP Commercial Truck and Bus Safety Synthesis Program DHS Department of Homeland Security DOE Department of Energy EPA Environmental Protection Agency FAA Federal Aviation Administration FAST Fixing America's Surface Transportation Act (2015) FHWA Federal Highway Administration FMCSA Federal Motor Carrier Safety Administration FRA Federal Railroad Administration FTA Federal Transit Administration GHSA Governors Highway Safety Association HMCRP Hazardous Materials Cooperative Research Program IEEE Institute of Electrical and Electronics Engineers ISTEA Intermodal Surface Transportation Efficiency Act of 1991 ITE Institute of Transportation Engineers MAP-21 Moving Ahead for Progress in the 21st Century Act (2012)
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