Are Individuals’ stated preferences for electric vehicles (EVs) consistent with real-world EV ownership patterns?

Jia, Wenjian; Chen, T. Donna

doi:10.1016/j.trd.2021.102728

Cited by 48 publications

(29 citation statements)

References 55 publications

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“…Firstly, as mentioned in Section 3, the outcome variable for our model was stated as the intention to purchase an EV and is not actual choice. Hence, there could be potential biases in responses, since the stated intention could not match actual purchases, leading to a gap between stated and actual purchase, the so-called hypothetical bias [31,54,55]. This limitation potentially undermines the results in forecasting EV uptake in the case study regions [31].…”

Section: Discussionmentioning

confidence: 99%

“…This limitation potentially undermines the results in forecasting EV uptake in the case study regions [31]. Nonetheless, since EV uptake rates in Southern Europe are still low, this study could not use figures about actual ownership of EVs, and the use of stated preference surveys is an approach widely used to overcome the limited existence of actual EV purchase data [31,55]. Secondly, it was not possible to assess the impact of wealth, the household net income in our study on the propensity to adopt low-carbon innovations due to the sensitivity of the information itself, which is difficult to retrieve through surveys, as was the case in our study.…”

Section: Discussionmentioning

confidence: 99%

“…We chose to apply a stated intention approach, i.e., the intention to purchase an EV and not the actual purchase, since the EV ownership rate in Southern Europe is still very low (Figure 1). The stated intention (or stated preference) approach is widely applied in research on EV uptake [31,54,55] due to the limited real-world data on actual EV purchase and ownership. The revealed preference approach should be preferred where possible [31].…”

Section: Statistical Modelmentioning

confidence: 99%

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Propensity to Choose Electric Vehicles in Cross-Border Alpine Regions

Tomasi

Zubaryeva

C³

et al. 2021

Sustainability

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Electric vehicles (EVs) are low-carbon innovations that decrease emissions in transportation. Understanding what drives individual propensity to choose EVs supports policymakers in shaping effective low-carbon mobility policies. Within the MOBSTER Interreg project, data were collected using a survey administered to residents in three Alpine cross-border regions—Canton Ticino (Switzerland), South Tyrol (Italy), and Verbano-Cusio-Ossola (Italy)—and were analyzed with a logistic regression. This study reports on the relevant drivers of EV uptake, showing (i) that some sociodemographic attributes positively impact the propensity to choose an EV (e.g., young age and teenage children), (ii) that the presence and visibility of charging infrastructures are important, and (iii) that the role of tourism is not a driver of EV uptake. This study confirms that policies should consider sociodemographics, social practices, and physical infrastructures as playing roles in EV uptake. Future research should address the issue of access to low-carbon innovations for all.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Statistical Modelmentioning

confidence: 99%

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Propensity to Choose Electric Vehicles in Cross-Border Alpine Regions

Tomasi

Zubaryeva

C³

et al. 2021

Sustainability

View full text Add to dashboard Cite

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“…In [52], research found that women preferred nearby charging stations more than men. While the younger age of respondents was preferred that the charging place for EVs be in their place of residence.…”

Section: B Charging Locationmentioning

confidence: 99%

Social Acceptance and Preference of EV Users—A Review

Ramachandaramurthy

Ajmal

Kasinathan³

et al. 2023

IEEE Access

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Electric vehicles (EVs) are drawing increasing attention, given the volatile fuel prices and impending reduction in fuel supplies. EVs are also preferred in the automotive industry as they reduce the environmental impact and fuel consumption while achieving a higher efficiency when compared to internal combustion engine vehicles (ICEVs). Although most of energy and environmental policies worldwide have set targets with the goal to shift from classic fossil fuel driven vehicles to electrified transport, the share of EVs is still rather low. The complexity of changing the human perception of transportation goes beyond technical and economic aspects and very few research activities managed to capture the additional factors. This paper presents a comprehensive review of studies on consumer preferences for EV, aiming to better inform policy-makers and give direction to further research. In addition, this paper discusses the main obstacles that limit the social acceptance in adopting EVs such as driving obstacles, charging obstacles and willingness-to-pay from consumers. Furthermore, mitigation strategies are outlined as the recommendation to promote a better EV deployment.

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“…Compared with ICEV buyers, ZEV early adopters tend to be male, middle or older aged, with high income and high educational attainment, and from multi-car households ( 14 – 21 ). The stated preferences of mainstream consumers in relation to the potential purchase of ZEVs are also extensively studied ( 4 , 6 , 22–26 ). These consumer preference studies provide important insights for policymakers to encourage the adoption of ZEVs.…”

Section: Literature Reviewmentioning

confidence: 99%

Beyond Adoption: Examining Electric Vehicle Miles Traveled in Households with Zero-Emission Vehicles

Jia

Chen

2022

Transportation Research Record: Journal of the Transportation R

Self Cite

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The environmental benefits of zero-emission vehicles (ZEVs) are affected by both consumer adoption and usage patterns. While numerous studies examine consumers’ stated or revealed preferences for ZEV adoption, ZEV usage patterns have received less attention. Based on the 2019 California vehicle survey data, this paper analyzes the annual mileage of three ZEV types: battery electric vehicle (BEV), plug-in hybrid electric vehicle (PHEV), and fuel cell electric vehicle (FCEV). Results show that ZEVs are driven as much as or more than internal combustion engine vehicles (ICEVs). Furthermore, focusing on households with one ZEV and one or more ICEVs, factors that influence household electric vehicle miles traveled (eVMT) are explored using multiple linear regression models. Greater battery range, home charging capability (regardless of charger type), and provision of special electricity rates for home charging are found to be positively correlated with the eVMT of PHEV households. The eVMT of BEV households is positively associated with Level 2 home charging capability, solar panel installation, access to workplace DC fast charging, and access to public Level 2 and DC fast charging stations. The number of routinely-used public hydrogen refueling stations is associated with higher FCEV household eVMT. Lastly, when high-occupancy vehicle lane access is rated as extremely important in the ZEV purchase decision, greater eVMT is found for both BEV and FCEV households, but not for PHEV households. Results of this study inform policies to encourage eVMT over vehicle miles traveled by ICEV in a household, achieving greater environmental benefits from ZEVs.

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Are Individuals’ stated preferences for electric vehicles (EVs) consistent with real-world EV ownership patterns?

Cited by 48 publications

References 55 publications

Propensity to Choose Electric Vehicles in Cross-Border Alpine Regions

Propensity to Choose Electric Vehicles in Cross-Border Alpine Regions

Social Acceptance and Preference of EV Users—A Review

Beyond Adoption: Examining Electric Vehicle Miles Traveled in Households with Zero-Emission Vehicles

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