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Modelling the determinants of electrical vehicles adoption in Riyadh, Saudi Arabia

Ryan Alyamani, Dimitrios Pappelis and Maria Kamargianni

Energy Policy, 2024, vol. 188, issue C

Abstract: This study investigates consumer acceptance of electric vehicles (EVs) in Riyadh, focusing on their response to adoption incentives. Utilising a stated preference survey, a mixed logit model was used in conjunction with survey insights to derive the final findings. Those include finding a higher sensitivity to changes in the monetary values of EVs than conventional vehicles. Also, the presence of accessible charging infrastructure and non-financial incentives (e.g., designated public parking spaces) were found to significantly increase the likelihood of EV adoption. While Saudi participants were less likely than expats to purchase EVs, females and consumers in their 40s showed a likelihood of purchasing an EV. Furthermore, shorter trip durations and personal acquaintance with EV owners in Riyadh positively influenced adoption rates. It is worth noting that the study shows that almost 60% of the targeted population indicated an interest in purchasing a vehicle in the upcoming three years, where the great majority stated that a new vehicle would replace an existing one. This creates a window of opportunity to implement optimal incentivising policies, as once a conventional vehicle is purchased, investment becomes ‘locked’ for years. The study then concludes with policy insights that aim to contribute to the policies of large-scale EV adoption in Riyadh.

Keywords: Mixed logit model; Electric vehicles; Riyadh city; Consumer acceptance; Stated preference survey (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:188:y:2024:i:c:s0301421524000922

DOI: 10.1016/j.enpol.2024.114072

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