Access to charging infrastructure and the propensity to buy an electric car

Ida Kristoffersson (), Roger Pyddoke (), Filip Kristofersson () and Staffan Algers ()
Additional contact information
Ida Kristoffersson: Swedish National Road and Transport Research Institute (VTI), Postal: VTI, Traffic Analysis and Logistics, P.O. Box 55685, SE-102 15 Stockholm, Sweden, https://www.vti.se/en/employees/ida-kristoffersson
Roger Pyddoke: Swedish National Road and Transport Research Institute (VTI), Postal: VTI, Dept. of Transport Economics, P.O. Box 55685, SE-102 15 Stockholm, Sweden, https://www.vti.se/en/employees/roger-pyddoke
Filip Kristofersson: Swedish National Road and Transport Research Institute (VTI), Postal: VTI, Traffic Analysis and Logistics, P.O. Box 55685, SE-102 15 Stockholm, Sweden, https://www.vti.se/en/employees/filip-kristofersson
Staffan Algers: TPmod

No 2024:4, Working Papers from Swedish National Road & Transport Research Institute (VTI)

Abstract: The policies for supplying charging infrastructure will be an important issue for the accel-eration of electrification of cars. In Sweden most early adopters of chargeable vehicles have been residents in detached houses. Residents in apartment buildings will be more dependent on public charging. This paper therefore examines how access to public charg-ing can affect the probability of buyers of new cars to choose a chargeable car. The main results indicate that the density of public charging stations close to home and work has a small but significant effect for buyers of private cars, as well as for buyers of other com-pany cars. We cannot however show any effect for the acquisition of Benefit In-Kind (BIK) company cars, but this could be due to incomplete data on charging access at the workplace. The socio-economic control variables are household income, having more than one car in the household, residence in a detached house, and that the owners of the apart-ment building received a grant for installing charging infrastructure close to the apartment building. These variables all have strong effects in the model. In the models of company cars, type of industry has strong effects for some industries.

Keywords: Car type choice; Discrete choice modelling; Electric vehicle adoption; Electrification and decarbonization of transport; Revealed preference; Charging infrastructure (search for similar items in EconPapers)
JEL-codes: H54 R42 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2024-04-29
New Economics Papers: this item is included in nep-dcm, nep-ene, nep-tre and nep-ure
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