An alternative explanation of the persistent low EV-uptake: The need for interventions in current norms of mobility demand

Friis, Freja

doi:10.1016/j.jtrangeo.2020.102635

Cited by 16 publications

(25 citation statements)

References 35 publications

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“…Indeed, mobility is a matter of integrating everyday life with the need to reproduce social practices, e.g., work or family life habits. When an EV does not meet daily needs, contrary to the current mobility practices using a conventional car, an individual does not have the propensity to choose an EV [4]. The socio-temporal rhythms of daily practices can affect the propensity to adopt innovation and the consequential uptake of EVs [11].…”

Section: Sociodemographic Characteristics and Daily Practicesmentioning

confidence: 99%

“…This part of the research is relevant to propose policy recommendations, based on awareness of relevant interactions among policies, social practices, and propensity to choose EVs [38], beyond dominant technologically and psychologically analytical approaches [4].…”

Section: Sociodemographic Characteristics and Daily Practicesmentioning

confidence: 99%

“…The duration of the telephone interviews was on average around 10 min. The selection of items for the survey, i.e., variables for the models, was based on previous studies [4,[10][11][12]29,30,[47][48][49][50][51] and, to a minor extent, on the author's considerations of further plausible predictors of individual propensity to change. Table 4 provides an overview of the variables included in the analysis and their reference in the literature.…”

Section: Questionnaire and Data Collectionmentioning

confidence: 99%

“…As previously shown in the section that describes the questionnaire, different predictors of individual propensity to change were identified to be included in the statistical model. Such factors were shown to have a significant influence on the purchase of electric cars in scientific literature [4,[10][11][12]29,30,[47][48][49][50][51], and even though they were assessed alone, in this study, the authors decided to build a model that could study the phenomenon as a whole, that is, jointly evaluating all of the factors investigated. Thus, the model allows us to identify which factors influence propensity to change the most and which lose significance following the inclusion of further predictors.…”

Section: Statistical Modelmentioning

confidence: 99%

“…In this sense, promising technology are electric vehicles (EVs). Even if the sales of EVs are rising and future scenarios of penetration of EVs in the mobility market are very promising-in fact, in 2030, they are expected to count for 15% of the global fleet-today, they are still limited to less than 1% of the global car fleet [1,4].…”

Section: Introductionmentioning

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: Sociodemographic Characteristics and Daily Practicesmentioning

confidence: 99%

Section: Sociodemographic Characteristics and Daily Practicesmentioning

confidence: 99%

Section: Questionnaire and Data Collectionmentioning

confidence: 99%

Section: Statistical Modelmentioning

confidence: 99%

Section: Introductionmentioning

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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Spatial scenarios of potential electric vehicle adopters in Ireland

Pillai

Curtis

Reaños

2022

Case Studies on Transport Policy

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Transition to electric vehicles is among one public policy to reduce carbon emissions from the transport sector in Ireland. While EV adoption rates are increasing there is broad scepticism about achieving ambitious national policy targets. Using microdata on commuting behaviour and standardised assumptions based on existing literature, we identify candidates that could comfortably satisfy weekly driving needs using an EV without the need to alter behaviour for EV charging purposes. High density areas of potential candidates for transition to EVs are identified, particularly in specific urban areas of Cork and Dublin cities. We also find between 2 to 37% reduction in emissions from car owners based on the different set of assumptions we employ. While the per unit emission reduction in rural areas is higher, the aggregate emission reduction that can be achieved is higher in urban areas because of the higher density of candidates for transition in such areas. The charging infrastructure in these urban areas is already well-developed and marketing campaigns targeting groups such as environmentally conscious younger individuals, who are not often characterised as 'early adopters' in the literature, may pay off in such areas. Public campaigns with a local character in the areas with clusters of the candidates can be more effective in improving the adoption rates.

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