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Extracting Travelers’ Preferences toward Electric Vehicles Using the Theory of Planned Behavior in Lahore, Pakistan

Author

Listed:
  • Muhammad Ashraf Javid

    (Department of Civil Engineering, NFC Institute of Engineering and Fertiliser Research, Faisalabad 38090, Pakistan)

  • Muhammad Abdullah

    (Department of Civil Engineering, National University of Computer & Emerging Sciences, Lahore 54770, Pakistan)

  • Nazam Ali

    (Department of Civil Engineering, University of Management and Technology, Lahore 54770, Pakistan)

  • Syed Arif Hussain Shah

    (Department of City and Regional Planning, University of Engineering and Technology, Lahore 39161, Pakistan)

  • Panuwat Joyklad

    (Department of Civil and Environmental Engineering, Faculty of Engineering, Srinakharinwirot University, Nakhonnayok 26120, Thailand)

  • Qudeer Hussain

    (Center of Excellence in Earthquake Engineering and Vibration, Department of Civil Engineering, Chulalongkorn University, Bangkok 45142, Thailand)

  • Krisada Chaiyasarn

    (Thammasat Research Unit in Infrastructure Inspection and Monitoring, Repair and Strengthening (IIMRS), Thammasat School of Engineering, Faculty of Engineering, Thammasat University Rangsit, Rangsit 12121, Thailand)

Abstract

The high use of gasoline and diesel vehicles results in environmental pollution and loss of natural resources. The use of electric vehicles can be socially beneficial and reduce air pollution. In this research study, the main aims are to identify the potential of Electric Vehicles (EVs) in Pakistan using a Stated Preferences (SP) survey. An SP questionnaire was designed using the theoretical framework of the Theory of Planned Behavior (TPB). This questionnaire consisted of travelers’ personal and travel characteristics and various statements designed to address the variables of TPB such as Attitudes Towards the Electric Vehicles, Subjective Norms (SN), Perceived Behavioral Control (PBC), and Behavioral Intentions (BI). The behavior items were designed in the context of travelers’ willingness to buy and use EVs. Confirmatory Factor Analyses (CFAs) were conducted to validate the designed hypotheses related to the variables of TPB. The cross-analysis revealed that there are variations in responses across different occupations, trip distances, travel modes, and vehicle ownership. The developed structural models showed that the Attitudes and PBC have a positive influence on BI and PBC, which also have a direct impact on travelers’ willingness to use EV. The SN, PBC, and Attitudes are significant predictors of behavioral intentions in the willingness to buy EV and PBC is not a direct predictor of travelers’ willingness to buy an EV. The BI acts as a mediator to explain the indirect effects of Attitudes, SN, and PBC on willingness to purchase and use an EV. In the end, a framework is also proposed for the behavior-related interventions to promote the EVs considering the socio-economic context of Pakistan.

Suggested Citation

  • Muhammad Ashraf Javid & Muhammad Abdullah & Nazam Ali & Syed Arif Hussain Shah & Panuwat Joyklad & Qudeer Hussain & Krisada Chaiyasarn, 2022. "Extracting Travelers’ Preferences toward Electric Vehicles Using the Theory of Planned Behavior in Lahore, Pakistan," Sustainability, MDPI, vol. 14(3), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1909-:d:744113
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    References listed on IDEAS

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    1. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Kumar Shalender & Naman Sharma, 2021. "Using extended theory of planned behaviour (TPB) to predict adoption intention of electric vehicles in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 665-681, January.
    4. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2016. "The effect of policy incentives on electric vehicle adoption," Energy Policy, Elsevier, vol. 94(C), pages 94-103.
    5. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    6. Gerardo Zarazua de Rubens & Lance Noel & Benjamin K. Sovacool, 2018. "Dismissive and deceptive car dealerships create barriers to electric vehicle adoption at the point of sale," Nature Energy, Nature, vol. 3(6), pages 501-507, June.
    7. Ingrid Moons & Patrick De Pelsmacker, 2015. "An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison," Sustainability, MDPI, vol. 7(5), pages 1-34, May.
    8. Mohamed, Moataz & Higgins, Chris & Ferguson, Mark & Kanaroglou, Pavlos, 2016. "Identifying and characterizing potential electric vehicle adopters in Canada: A two-stage modelling approach," Transport Policy, Elsevier, vol. 52(C), pages 100-112.
    9. Ferrero, Enrico & Alessandrini, Stefano & Balanzino, Alessia, 2016. "Impact of the electric vehicles on the air pollution from a highway," Applied Energy, Elsevier, vol. 169(C), pages 450-459.
    10. Aziz, A. & Nawaz, M.S. & Nadeem, M. & Afzal, L., 2018. "Examining suitability of the integrated public transport system: A case study of Lahore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 13-25.
    11. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    12. Vassileva, Iana & Campillo, Javier, 2017. "Adoption barriers for electric vehicles: Experiences from early adopters in Sweden," Energy, Elsevier, vol. 120(C), pages 632-641.
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    2. Ruyu Xie & Liren An & Nosheena Yasir, 2022. "How Innovative Characteristics Influence Consumers’ Intention to Purchase Electric Vehicle: A Moderating Role of Lifestyle," Sustainability, MDPI, vol. 14(8), pages 1-24, April.
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    4. Jiang, Yuting & Fu, Qian & Thomopoulos, Nikolas & Chen, Jason Li, 2025. "Understanding the influence of past driving experience on electric vehicle purchase intention in China," Transport Policy, Elsevier, vol. 162(C), pages 270-282.

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