Economy-wide impacts from different speeds of deployment of automated vehicles on European Union roads

This study analyses the socio-economic effects (gross domestic product, employment, and output) of automated cars and trucks deployment scenarios in the EU using the macro-economic general equilibrium model JRC-GEM-E3. Our analysis focuses on the major potential impacts referred to in the literature, namely, the expected cost of deployment at scale of all levels of automation for cars and trucks, the potential impact on professional drivers' jobs, the additional maintenance and repair cost of high-level (Level 4 and 5) automated vehicles, and the effects on vehicle energy efficiency, congestion and road traffic collisions. Since the last three impacts can vary depending on travel behaviour, six stylised responses are considered, ranging from a reduction in demand for road transport to a rebound effect, with and without sharing of high-level AVs. Overall, our results highlight, when sharing high-level AVs, that a fast and medium deployment are beneficial for the EU economy, independently of the behavioural response. When high-level AVs are deployed without ride sharing, non-environmentally friendly responses (i.e. those promoting an increase in energy consumption, congestion costs and road traffic collisions) can turn GDP effects negative. Sectorally, automation can change demand for workers in the economy, with the electronic and services sectors requiring more workers to build the additional components needed by autonomous vehicles, and the land transport sector suffering the biggest loss in employment due to fewer professional drivers needed at higher levels of automation. • European economy benefits with a medium or fast deployment of automated vehicles • Analysis builds automated cars and trucks deployment scenarios to 2050 • Deployment of Levels 4 and 5 vehicle automation consider sharing and traditional vehicle ownership • A Computable General Equilibrium model for Economy-Energy-Environment is used • Impacts include cost of deployment, drivers' jobs, energy efficiency, congestion, traffic safety

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Publication Details

Journal
Technology in Society
Published
2025-09-18
DOI
https://doi.org/10.1016/j.techsoc.2025.103066
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
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article

Economy-wide impacts from different speeds of deployment of automated vehicles on European Union roads

Biagio Ciuffo, Marie Tamba, Louison Duboz, Ana Norman‐López et al.
Technology in Society
Transportation and Mobility Innovations
article

Economy-wide impacts from different speeds of deployment of automated vehicles on European Union roads

Biagio Ciuffo, Marie Tamba, Louison Duboz, Ana Norman‐López, Matthias Weitzel, Jette Krause
article en

Abstract

This study analyses the socio-economic effects (gross domestic product, employment, and output) of automated cars and trucks deployment scenarios in the EU using the macro-economic general equilibrium model JRC-GEM-E3. Our analysis focuses on the major potential impacts referred to in the literature, namely, the expected cost of deployment at scale of all levels of automation for cars and trucks, the potential impact on professional drivers' jobs, the additional maintenance and repair cost of high-level (Level 4 and 5) automated vehicles, and the effects on vehicle energy efficiency, congestion and road traffic collisions. Since the last three impacts can vary depending on travel behaviour, six stylised responses are considered, ranging from a reduction in demand for road transport to a rebound effect, with and without sharing of high-level AVs. Overall, our results highlight, when sharing high-level AVs, that a fast and medium deployment are beneficial for the EU economy, independently of the behavioural response. When high-level AVs are deployed without ride sharing, non-environmentally friendly responses (i.e. those promoting an increase in energy consumption, congestion costs and road traffic collisions) can turn GDP effects negative. Sectorally, automation can change demand for workers in the economy, with the electronic and services sectors requiring more workers to build the additional components needed by autonomous vehicles, and the land transport sector suffering the biggest loss in employment due to fewer professional drivers needed at higher levels of automation. • European economy benefits with a medium or fast deployment of automated vehicles • Analysis builds automated cars and trucks deployment scenarios to 2050 • Deployment of Levels 4 and 5 vehicle automation consider sharing and traditional vehicle ownership • A Computable General Equilibrium model for Economy-Energy-Environment is used • Impacts include cost of deployment, drivers' jobs, energy efficiency, congestion, traffic safety

Technology in SocietyVol. 84
European Commission (BE), Joint Research Centre (IT)
Openalex Percentile: Top 72%
Transportation and Mobility Innovations
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