Specifications include, but are not limited to: The objective of this research is to provide the public transportation industry with information that will help it become more aware of automation’s effects on the labor work force. The research should emphasize the effects of Society of Automotive Engineers (SAE) automation levels 4 and 5 (Preparing for the Future of Transportation Automated Vehicles 3.0, US Department of Transportation, October, 2018, page vi, https://www.transportation.gov/sites/dot.gov/files/docs/policy-initiatives/automatedvehicles/320711/preparing-future-transportation-automated-vehicle-30.pdf). Analysis should focus on the following areas: · Status quo analysis of transit labor market that assess current labor market segments/jobs and the current demographics, pay, and skills required for these jobs. · Ranking of jobs within the public transportation industry that are most and least susceptible to replacement (or conversion to another agency role based on additional training and/or revisions to the organizational chart) via automated technologies. · An overall estimation of total public transportation jobs at risk of replacement, along with potential job opportunities created because of automation in transit. · A description of the skills that the public transportation workforce will need to handle the new technologies. · A timeframe estimate for when the autonomous vehicles (AV) technologies could have an impact on the workforce. · A generalized description of how public transportation agencies are currently working with organized labor in implementing current technology and training programs and what barriers exist in doing so. · A set of historic and real-time data and metrics to be collected and monitored on an ongoing basis to track the effect of automation on the workforce; recommend ideal entities for collection and analysis of such data. · Recommendations for workforce transitioning, re-training, partnerships, and additional steps that public transportation agencies can take to anticipate technological change as it relates to its labor force, noting current successful transit apprenticeship programs.
