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The Economic Case for Electric Vehicles in Public Sector Fleets: An Italian Case Study

doi: 10.3390/wevj11010022
handle: 11368/2965253
The paper investigates whether it makes economic sense to use electric vehicles (EVs) in the public sector fleet. Thanks to the data collected in 2018 in 77 public sector entities in an Italian region, Friuli Venezia Giulia, we compare the total cost of ownership of a battery electric vehicle with that of a similar internal combustion engine one. We provide estimates for four scenarios (status quo, social cost internalization, price discounts and a combination of the last two) for three groups of public entities (local health authorities, municipalities and special purpose authorities) regarding passenger cars and mixed-use small light commercial vehicles. We find that, with the current price and cost structure, it makes economic sense to adopt EVs for a positive although relatively small percentage of the public sector fleet.
- AREA Science Park Italy
- University of Trieste Italy
- AREA Science Park Italy
TA1001-1280, public sector fleet; electric vehicle; total cost of ownership, electric vehicle, TK1-9971, Transportation engineering, public sector fleet, Electrical engineering. Electronics. Nuclear engineering, total cost of ownership
TA1001-1280, public sector fleet; electric vehicle; total cost of ownership, electric vehicle, TK1-9971, Transportation engineering, public sector fleet, Electrical engineering. Electronics. Nuclear engineering, total cost of ownership
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).9 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
