A stated choice experiment to measure the effect of informational and normative conformity in the preference for electric vehicles

Cherchi, Elisabetta

doi:10.1016/j.tra.2017.04.009

Cited by 79 publications

(72 citation statements)

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“…Informational and social conformity appear highly significant mechanisms influencing individual EV over ICV decision making in a recent Danish experimental research (Cherchi, ). This is consistent with Norwegian data comparing EV and ICV owners (Figenbaum et al, ), ICV owners with EV owning friends were much more likely to consider buying an EV than ICV owners without such friends.…”

Section: Factors Affecting Consumer Decision Makingmentioning

confidence: 96%

Electric vehicle adoption: An analysis of best practice and pitfalls for policy making from experiences of Europe and the US

2017

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Accelerating the rate of electric vehicle (EV) adoption is an objective of many countries to mitigate and ameliorate negative externalities arising from the use of fossil fuels for personal motorised transportation including: greenhouse gas (GHG) emissions, air pollution and noise, as well as increasing energy security and reducing budget deficits. Within the dynamic field of EVs, this paper highlights strategic directions for policy makers to increase EV uptake. The paper critically reviews measures adopted by some industrialised countries to motivate consumer purchase of EVs rather than conventional internal combustion vehicles (ICVs). A key focus is the role of financial and soft incentives to encourage EV adoption. The analysis reveals that not all incentives are equally effective; an adequate recharger network appears to be a common concerning factor for EV adoption due to customer anxiety and vehicle limitations. Best practice strategies that could foster a faster transition to EV adoption include appropriate legislation, installation and maintenance of an adequate public recharger network, government procurement programs, and investment in information programs to accelerate the transition towards fossil free driving. The paper evidences how implementation of these strategies can affect overall adoption rates.

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Section: Factors Affecting Consumer Decision Makingmentioning

confidence: 96%

Electric vehicle adoption: An analysis of best practice and pitfalls for policy making from experiences of Europe and the US

2017

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“…Significant effects are found for financial policy measures (Hardman, Chandan, et al, 2017) which directly influence the internal factors of the car. Policy measures such as free parking (Cherchi, 2017;Fearnley, Pfaffenbichler, Figenbaum, & Jellinek, 2015;Hoen & Koetse, 2014) and access to HOV/Bus lines (Bjerkan et al, 2016;Chorus, Koetse, & Hoen, 2013) have provided mixed evidence in support of a positive effect on EV purchase intention.…”

Section: Ev Purchase Intentions and Charging Infrastructurementioning

confidence: 99%

“…In the first study only 12% or respondents recalled having seen a public charger and in the second study only 18%. More recently, Cherchi (2017) has taken into account charging infrastructure availability and other parking policies and found that availability did have a positive effect on purchase intention; this study however focussed on availability of charging infrastructure away from home. Ensslem, Jochem, Schäuble, & Babrowski (2013) also find that interoperability across charging station and borders, especially in border regions, is mentioned as an important factor driving purchase decisions.…”

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

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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/

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“…Following some pilot testing, for the EV market share we decided to include both the total 139 number of new EV registration in 2019 in the UK and the percentage of new EV registered 140 compared to the total number of cars registered in the same year. This differed from our previous 141 work (Cherchi, 2017). We also decided to manipulate this information to give more emphasis to 142 the low and high penetration level.…”

Section: Introduction 44 45mentioning

confidence: 99%

“…Finally, a set of attitudinal questions was asked, measuring attitudes toward 190 environment and injunctive norms. The statements were taken from Cherchi (2017).…”

mentioning

confidence: 99%

Using EEG to understand how our brain elaborate information in stated choice experiments: Easy versus hard tasks in the choice of vehicles

Cherchi

Vuong

Stergiou

2020

Preprint

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In the current study, we aim to provide preliminary evidence that complex consumer choices depends on cognitive processes and executive functions that may not be fully captured by current stated choice (SC) approaches. To address this gap, here we combine the standard SC experiment with electroencephalogram (EEG) recordings while manipulating the cognitive demands of the task. Our study is applied to the choice context of a car purchase between a petrol and an electric vehicle. Respondents were asked to fill in a stated choice experiment online and a subsample of these respondents were then invited to participate in an EEG study during which they repeated the same SC experiment while we continuously recorded EEG signals from their scalp. We then modelled people’s choice behaviours in easy and hard decisions, and compared this analysis of their choice behaviour to their EEG responses in these two conditions. Our results confirm that hard decisions lead to higher cognitive demands and larger EEG responses in electrodes on the frontal part of the scalp and these demands can lead to choices inconsistent with the compensatory assumptions.

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A stated choice experiment to measure the effect of informational and normative conformity in the preference for electric vehicles

Cited by 79 publications

References 50 publications

Electric vehicle adoption: An analysis of best practice and pitfalls for policy making from experiences of Europe and the US

Electric vehicle adoption: An analysis of best practice and pitfalls for policy making from experiences of Europe and the US

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

Using EEG to understand how our brain elaborate information in stated choice experiments: Easy versus hard tasks in the choice of vehicles

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