Can Driver Supply Disruption Alleviate Driver Shortages? A Systems Approach

P. Chandiran, M. Ramasubramaniam, V.G. Venkatesh, V. Mani and Y. Shi
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V.G. Venkatesh: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Y. Shi: IP - Institut Pascal - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne - INP Clermont Auvergne - Institut national polytechnique Clermont Auvergne - UCA - Université Clermont Auvergne

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Abstract: The driver shortage is a perennial problem in the trucking industry. The review of literature reveals currently there is a lack of holistic approach to address driver shortage problem. This paper presents a systems approach to understand the factors influencing the issue of truck driver shortages in an emerging economy context and their evolution over time. For this study, we define truck driver shortage as: ``The shortfall in the market when the quantity of truck drivers supplied is below the number of truck drivers demanded''. A system dynamic model has been developed to study a representative truck segment unit. The model is validated and simulated for ten years. The findings from the proposed model indicate that the current system and other environmental factors do not support the truck driver supply increase, drivers and shortages are likely to become acute in the coming years. The study proposes appropriate intervention for the government, and other stakeholders must design proper steps to fill the gap beyond a specific timeframe. The study contributes to the existing literature as a pioneering work on driver shortages in the emerging economy context. Also, the study is one of its kind in using a holistic, quantitative approach to modeling the driver shortage phenomenon. In the process, the study elicits complex relationships that prevail among the factors included in the study. \textcopyright 2022 Elsevier Ltd

Keywords: Driver shortage; holistic approach; labor market; Labor welfare; quantitative analysis; Simulation; Supply disruption; System dynamics; transportation economics; travel behavior; Truck driver; trucking; Vensim; welfare economics (search for similar items in EconPapers)
Date: 2023
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Published in Transport Policy, 2023, 130, pp.116--129. ⟨10.1016/j.tranpol.2022.10.002⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04433886

DOI: 10.1016/j.tranpol.2022.10.002

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