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Analysis of Influencing Factors in Purchasing Electric Vehicles Using a Structural Equation Model: Focused on Suwon City

Author

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  • Sukhee Kim

    (Department of Urban Space Research, Suwon Research Institute, Gweonseon-gu, Suwon 16429, Korea)

  • Jungyoon Choi

    (TOD-Based Sustainable Urban/Transportation Research Center, Yeongtong-gu, Suwon 16499, Korea)

  • Yongju Yi

    (TOD-Based Sustainable Urban/Transportation Research Center, Yeongtong-gu, Suwon 16499, Korea)

  • Hyungjun Kim

    (Department of Urban Space Research, Suwon Research Institute, Gweonseon-gu, Suwon 16429, Korea)

Abstract

The global automobile market is promoting the introduction of eco-friendly vehicles such as electric vehicles and hydrogen vehicles. However, disadvantages such as expensive prices and limited mileage compared to internal combustion engine vehicles have become obstacles to the expansion of eco-friendly vehicles. Therefore, in this study, a survey was conducted on the purchase of electric vehicles for citizens of Suwon. Using the survey data, a structural equation model was constructed to analyze the factors affecting the purchase of electric vehicles, which are eco-friendly vehicles. The results indicate that a lack of information and government policy on EV, the level of EV recognition and subsidy policy do not have an effect on EV purchase. However, charging infrastructure, battery performance and safety, operating conditions including ramps or use of heaters and air conditioners, subsidy effects and charging services demonstrate positive effects on EV purchase. Using direct and indirect effect analysis, the study shows that higher government subsidy and visiting charging services are the two most influential factors on EV purchase, followed by EV driving environment, charging infrastructure, battery performance and safety, and a lack of information and electric vehicle supply policy.

Suggested Citation

  • Sukhee Kim & Jungyoon Choi & Yongju Yi & Hyungjun Kim, 2022. "Analysis of Influencing Factors in Purchasing Electric Vehicles Using a Structural Equation Model: Focused on Suwon City," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4744-:d:794641
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    Cited by:

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    2. Miaomei Guo & Weilun Huang, 2023. "Consumer Willingness to Recycle The Wasted Batteries of Electric Vehicles in the Era of Circular Economy," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    3. Andri Ottesen & Sumayya Banna & Basil Alzougool, 2022. "Attitudes of Drivers towards Electric Vehicles in Kuwait," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    4. Aleksandra Kaczyńska & Piotr Sulikowski & Jarosław Wątróbski & Wojciech Sałabun, 2023. "Enhancing Sustainable Assessment of Electric Vehicles: A Comparative Study of the TOPSIS Technique with Interval Numbers for Uncertainty Management," Energies, MDPI, vol. 16(18), pages 1-17, September.

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