Factors of electric vehicle adoption: A comparison of conventional and electric car users based on an extended theory of planned behavior

Haustein, Sonja; Jensen, Anders Fjendbo

doi:10.1080/15568318.2017.1398790

Cited by 227 publications

(124 citation statements)

References 40 publications

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“…Compared with the national average, the EV data contained a significantly higher proportion of commuting vehicles (25% rather than 13%). This aligns with the findings of [4] that early EV adopters have high incomes.…”

Section: A Comparison With Existing Ev Fleetsupporting

confidence: 91%

“…In the UK EVs currently account for just over 2% of new vehicles sales [3], and it has been shown in existing literature that these consumers display some certain demographic traits with respect to the nation's vehicle owners. [4] report that EV users are typically male, highly educated, have high incomes, and often more than one vehicle in the household. This demographic is likely to result in a different set of usage 978-1-5386-4505-5/18/$31.00 c 2018 IEEE profiles, and for short-term planning these need to be identified.…”

Section: Introductionmentioning

confidence: 99%

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Clustering of Usage Profiles for Electric Vehicle Behaviour Analysis

Crozier

Apostolopoulou

McCulloch

2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Accurately predicting the behaviour of electric vehicles is going to be imperative for network operators. In order for vehicles to participate in either smart charging schemes or providing grid services, their availability and charge requirements must be forecasted. Their relative novelty means that data concerning electric vehicles is scarce and biased, however we have been collecting data on conventional vehicles for many years. This paper uses cluster analysis of travel survey data from the UK to identify typical conventional vehicle usage profiles. To this end, we determine the feature vector, introduce an appropriate distance metric, and choose a number of clusters. Five clusters are identified, and their suitability for electrification is discussed. A smaller data set of electric vehicles is then used to compare the current electric fleet behaviour with the conventional one.

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Section: A Comparison With Existing Ev Fleetsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Clustering of Usage Profiles for Electric Vehicle Behaviour Analysis

Crozier

Apostolopoulou

McCulloch

2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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“…Here the authors show that in situations where a consumer has a 'pro-environment' self-image, he or she is more likely to adopt an EV. Studies such as these as well as others raise the importance of psychological factors relevant for determining behavioural intention (e.g., Axsen et al 2018;Haustein and Jensen 2018;Noppers et al 2015;White and Sintov 2017) Given the limited number of studies in the UAE on the attitudes of consumers regrading EVs, the current research contributes to the advancement of knowledge on sustainable transport by gaining an understanding of the factors that influence university students' perceptions, preferences, and valuation regarding the adoption of EVs in the UAE. The authors employ an on-line survey to determine the social, economic, and environmental factors that influence the perceptions, preferences, and valuation of consumers.…”

Section: Previous Studies and Contribution Of The Current Researchmentioning

confidence: 97%

An analysis of potential adopter attitudes regarding electric vehicles: the case of university students in the United Arab Emirates

Bridi¹,

Hosani²

2020

Auc Geographica

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The authors investigate the perceptions, preferences, and valuation of university students in the United Arab Emirates (UAE) regarding the potential to adopt electric vehicles (EVs) for personal transport by surveying a diverse sample of 664 students from the seven emirates (the capital Abu Dhabi, Ajman, Dubai, Fujairah, Ras Al Khaimah, Sharjah and Umm Al Quwain). Details were elicited about social, economic, and environmental factors that influence the potential to adopt EVs for personal transport, perceived advantages of EVs over gasoline automobiles, and knowledge about EVs. The authors employed the SPSS software platform to categorize various factors according to age and gender. Respondents reported a wide variety of perspectives about EVs including environmental benefits and functional drawbacks. Findings show that participant perceptions, preferences, and valuation about EVs are influenced by a multiplicity of social, economic, and environmental factors. Neglect of these factors will undermine the potential to shift preferences toward greater adoption of emerging sustainable transport technologies.

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“…자동차는 RoHS, ELV 등의 환경규제가 강화되고 있 으며, 친환경 제품에 대한 요구가 증가하고, 스마트카 방향으로 발전되고 있다 [1][2][3] . 따라서 계면을 따라 진전된 것으로 판단된다 17,18) .…”

Section: 서 론unclassified

Ultrasonic Bonding Property of Aluminum Wire for Power Conversion Module of Automotive

박

오

원

et al. 2018

Journal of Welding and Joining

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This study verified ultrasonic bonding reliability of 15 mil and 6 mil aluminum wires for power conversion module of automotive. Aluminum wires were bonded on aluminum metalized Si chip using by ultrasonic bonding process. To confirm their joints reliability, high temperature and high humidity test (TH) and thermal shock test (TS) were conducted. TH was tested at 85±3 ℃, 85±3 RH for 1,000 h. TS condition was-40~ 125 ℃, 10 min dwell time at each temperature for 1,000 cycles. Before and after the tests, wire ball shear strength and wire ball pull strength of each wires were measured and compared to the degradation rate of bonding strength. Based on these results, bonding strength degradation rate of TS was 10 times faster than that of TH, and TS was more effective test method than TH. Ultrasonic bonding layer crack was generated at the interfaces between Al wire and Al metalization layer of Si chip surface, and propagated along the interfaces.

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Factors of electric vehicle adoption: A comparison of conventional and electric car users based on an extended theory of planned behavior

Cited by 227 publications

References 40 publications

Clustering of Usage Profiles for Electric Vehicle Behaviour Analysis

Clustering of Usage Profiles for Electric Vehicle Behaviour Analysis

An analysis of potential adopter attitudes regarding electric vehicles: the case of university students in the United Arab Emirates

Ultrasonic Bonding Property of Aluminum Wire for Power Conversion Module of Automotive

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