Citation

Wang S, Mack EA, Van Fossen JA, Medwid L, Cotten SR, Chang CH, Mann J, Miller SR, Savolainen PT, Baker N. Transp. Res. Interdiscip. Persp. 2023; 19: e100793.

Copyright

(Copyright © 2023, Elsevier Publishing)

DOI

10.1016/j.trip.2023.100793

PMID

unavailable

Abstract

This study identifies alternative occupations for heavy truck drivers and evaluates the relative attractiveness of these alternatives in terms of compensation, ease of entry and future job growth. We also evaluate the geographic correspondence between truck driving jobs and available alternatives within the same state given research evidence about geographic rigidities in job seekers. We develop two strategies for identifying alternative occupations. One approach suggests that there may not be sufficient job alternatives for a displacement of 35% or more of the truck-driving workforce. The second alternative suggests insufficient job alternatives when displacement levels exceed 50%. Despite these varied pictures, our results present some important trends among job alternatives. Most alternatives were in Job Zones 1 and 2 which require little additional training and/or education for displaced drivers. Unfortunately, the identified alternatives paid lower wages than truck-driving jobs, indicating a potential loss of income. The projected demand for alternative jobs also varied by occupation. Some alternatives are projected to have employment growth, while others are projected to have job losses. Lastly, there were geographic trends in states projected to experience greater losses of driving jobs, and that do not have sufficient alternative jobs for workers. Our findings indicate that this is particularly true for states located in Middle America. Proactive labor policies that are tailored to the regional labor market and available job alternatives will be needed to help truck drivers transition into new occupations. These policies should be particularly mindful of the specific characteristics of the truck-driving workforce.

Language: en

Keywords

Automation; Autonomous vehicles; Job displacement; Occupational mobility; Technological change; Trucking