Does perceived technology and knowledge of maintenance influence purchase intention of BEVs

被引：41

作者：

Pradeep, Viyaluru Harinath ^{[1
]}

Amshala, Vijay Teja ^{[1
]}

Kadali, B. Raghuram ^{[2
]}

机构：

[1] VNIT Nagpur, Dept Civil Engn, Nagpur 440010, Maharashtra, India

[2] NIT Warangal, Dept Civil Engn, Warangal 506004, Telangana, India

来源：

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT | 2021年 / 93卷

关键词：

Knowledge of maintenance; Perceived technology; Theory of planned behaviour; Purchase behaviour; Battery electric vehicles; BATTERY ELECTRIC VEHICLES; WIDESPREAD ADOPTION; CONSUMER ATTITUDES; DIRECT EXPERIENCE; ATTRIBUTES; RESPONSES; BARRIERS; BEHAVIOR;

D O I：

10.1016/j.trd.2021.102759

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Electric vehicles have been widely regarded as an alternative to conventional combustion fuel vehicles in reducing traffic emissions. In this study, an extended theory of planned behaviour has been proposed to study the factors that influence the adoption of battery electric vehicles in Indian context. Analysis has been performed using factor-based regression technique and results revealed that attitude is found to be the strongest predictor. Moreover, the impact of knowledge of maintenance and perceived technology was explored on purchase intention of Battery Electric Vehicle (BEV). Also, a mediation analysis has been performed to determine its significance. Results revealed that knowledge of maintenance did not have any direct effects, but showed significant indirect effects, whereas the perceived technology had a pronounced impact with significant direct and indirect effects on purchase intentions. Further, these results are beneficial to policymakers and transport planners in motivating the urban commuters towards a more sustainable transport mode.

引用

页数：14

共 66 条

[11] Intent to purchase a plug-in electric vehicle: A survey of early impressions in large US cites [J].

Carley, Sanya ;

Krause, Rachel M. ;

Lane, Bradley W. ;

Graham, John D. .

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2013, 18 :39-45

[12] STUDY OF A MEASURE OF SAMPLING ADEQUACY FOR FACTOR-ANALYTIC CORRELATION MATRICES [J].

CERNY, BA ;

KAISER, HF .

MULTIVARIATE BEHAVIORAL RESEARCH, 1977, 12 (01) :43-47

[13]

Cronbach LJ, 1951, PSYCHOMETRIKA, V16, P297

[14] Electric vehicles and India's low carbon passenger transport: a long-term co-benefits assessment [J].

Dhar, Subash ;

Pathak, Minal ;

Shukla, Priyadarshi R. .

JOURNAL OF CLEANER PRODUCTION, 2017, 146 :139-148

[15] The impact of government incentives for hybrid-electric vehicles: Evidence from US states [J].

Diamond, David .

ENERGY POLICY, 2009, 37 (03) :972-983

[16] Who buys New Energy Vehicles in China? Assessing social-psychological predictors of purchasing awareness, intention, and policy [J].

Du, Huibin ;

Liu, Diyi ;

Sovacool, Benjamin K. ;

Wang, Yuru ;

Ma, Shoufeng ;

Li, Rita Yi Man .

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2018, 58 :56-69

[17] Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions [J].

Egbue, Ona ;

Long, Suzanna .

ENERGY POLICY, 2012, 48 :717-729

[18]

Field A., 2017, sage

[19]

Foxall G., 1998, CONSUMER PSYCHOL MAR

[20]

Garling A, 2001, Business Strategy and the Environment, V10, P53, DOI [DOI 10.1002/10990836, DOI 10.1002/1099-0836(200101/02)10:13.0.CO

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