Electric vehicles revisited: a review of factors that affect adoption

Coffman, Makena; Bernstein, Paul; Wee, Sherilyn

doi:10.1080/01441647.2016.1217282

Cited by 462 publications

(241 citation statements)

References 53 publications

Supporting

Mentioning

226

Contrasting

Unclassified

Order By: Relevance

“…A large and growing body of literature has investigated the factors that play a role in the EV purchase intention. Three recent literature reviews (Coffman, Bernstein, & Wee, 2016;Liao, Molin, & Wee, 2015;Rezvani, Jansson, & Bodin, 2015) have analysed the findings from over 50 different studies. They find evidence that internal factors, the EV properties, especially range and price have a large effect on purchase intention.…”

Section: Ev Purchase Intentions and Charging Infrastructurementioning

confidence: 99%

Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments

Wolbertus

Kroesen

Hoed

et al. 2018

Transportation Research Part D: Transport and Environment

104

View full text Add to dashboard Cite

Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experimentsWolbertus, Rick; Kroesen, Maarten; van den Hoed, Robert; Chorus, Caspar G. AbstractPolicy makers are looking for effective ways to promote the adoption of electric vehicles (EVs). Among the options is the roll-out and management of charging infrastructure to meet the EV drivers' refuelling needs. However, policies in this area do not only have a long-term effect on the adoption of EVs among prospective owners, they also have short-term impacts on the usage of public charging infrastructure among current EV owners and vice-versa. Presently, studies focusing on both effects simultaneously are lacking, missing out on possible cross-pollination between these areas. This study uniquely combines stated and revealed preference data to estimate the effect of particular policy measures aimed at EV adoption, on the one hand, and charging behaviour, on the other. Using a large dataset (1.7 million charging sessions) related to charging behaviour using public charging infrastructure in the Netherlands we quantify the effects of (i) daytime-parking (to manage parking pressure) and (ii) free parking (to promote purchase of EVs) policies on charging behaviour. To estimate the effects of these particular policies on EV purchase intentions, a stated choice experiment was conducted among potential EV-buyers. Results show that cross-pollinations between EV charging and adaptation policies exist and should be taken into account when designing policies for EV adoption.©2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. https://creativecommons.org/licenses/by-nc-nd/4.0/

show abstract

Section: Ev Purchase Intentions and Charging Infrastructurementioning

confidence: 99%

Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments

Wolbertus

Kroesen

Hoed

et al. 2018

Transportation Research Part D: Transport and Environment

104

View full text Add to dashboard Cite

show abstract

“…For this study, even taking into account lower Purchase subsidy X X Registration Tax considered in purchase price rather than fixed costs X Congestion charge exemption X Charging installation subsidy X predicted stock shares for EVs, installed public charge points in the model is at a level of around half of the actual numbers [26]. However, other studies using this model which have focused on infrastructure [29,30] suggest, and correlate with other literature [31][32][33], that dense charge point provision has low importance to early EV adopters. It is noted that some studies are known to have placed stronger correlation between uptake and infrastructure [34][35][36], or at least acknowledge that concerns over recharging may deter EV purchase, but this is as much related to range and recharge time as infrastructure provision.…”

Section: Case Study 1: the Netherlandsmentioning

confidence: 42%

Policy insights and modelling challenges: The case of passenger car powertrain technology transition in the European Union

Harrison

Thiel

2017

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

Purpose We are interested in what policy insights can be transferred from EU countries that have been most successful in introducing EVs to those that are debating policy options.As we use a model to explore this, we are also interested in the application of modelling, seeking to understand if real world policies and results can be replicated in a model and, more generally, the challenges to the use of modelling in policy appraisal. Methods We use the EC-JRC Powertrain Technology Transition Market Agent Model (PTTMAM), a system dynamics model based around the interactions of conceptual market agent groups in the EU. We perform iterative scenario tests to replicate the policies carried out in the Netherlands and the UK in recent years in an attempt to achieve similar results in EV sales. We then transfer the policy scenarios to other EU member states and assess the transferability of the policies. Results Reasonable approximations of the Netherlands and UK EV policies and sales were achieved and implemented in other EU member states. Conclusion We find that the PTTMAM is fit-for-purpose and can replicate successful policies to a certain degree. Policy success is sensitive to country specific conditions, and a system dynamics model like the PTTMAM can help identify which conditions react to which policy stimulus. There are challenges to modelling in policy appraisal, such as the subjectivity of the modeller and flexibility to specific conditions, which must be kept transparent for the model to be a relevant tool for policy making.

show abstract

“…In the following sections, three general-purpose state-of-the-art scenario generation methods are summarised for problem (1).…”

Section: Scenario Generation Methodsmentioning

confidence: 99%

“…The use of electric vehicles (EVs) is becoming increasingly popular due to factors such as governmental incentives towards low‐carbon transportation (see Coffman et al) and more economically feasible technologies (see Nykvist and Nilsson who set a positive outlook for the future usage of EVs). Consequently, managing their charging activities becomes necessary to avoid voltage and congestion problems in the grid and to reduce the costs of charging for the end users.…”

Section: Introductionmentioning

confidence: 99%

A comparison of scenario generation methods for the participation of electric vehicles in electricity markets

Jensen

Møller

Pantuso

et al. 2018

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary We consider the procurement of electricity for a large fleet of electric vehicles operating in electricity markets. Due to uncertain regulating prices, this problem has typically been modelled as a stochastic program. In this study, we address the issue of generating scenario trees, ie, simplified representations of the uncertainty necessary to solve the corresponding stochastic programs. A trade‐off between accurate descriptions of the uncertainty and tractability of the stochastic program is sought. Based on data describing electric mobility and electricity prices in Denmark, general‐purpose scenario generation strategies are tested and compared. Such strategies include state‐of‐the‐art property matching methods and time‐series analysis. The results show that the co‐dependence between the regulating prices at different hours of the day plays a crucial role when generating scenario trees for these problems, making copulas an important property to consider. This information can help decision makers to achieve better (cheaper) electricity procurement by accurately preprocessing the uncertainty in the regulating prices.

show abstract

Electric vehicles revisited: a review of factors that affect adoption

Cited by 462 publications

References 53 publications

Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments

Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments

Policy insights and modelling challenges: The case of passenger car powertrain technology transition in the European Union

A comparison of scenario generation methods for the participation of electric vehicles in electricity markets

Contact Info

Product

Resources

About