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A stated choice study to assess charging and travel decisions of electric car users considering car attributes and trip chaining complexity – Case New Delhi, India

Author

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  • Adsule, Poonam
  • Manoj, M.

Abstract

This paper investigates the travel and charging choices of electric car users who also own a conventional-fuel vehicle. While travel behavior impacts on charging decisions have been explored in earlier studies, studies have excluded the possibility of shifting to conventional fuel vehicles by electric car users. In addition, the effects of the time spent at destinations on charging choices are also unexplored in travel behavior literature. Using a stated choice data collected in New Delhi, India, the study estimates a nested integrated choice and latent variable model to assess individuals’ choices among ‘travel according to the tour plan without charging the EV, ‘travel according to the tour plan with charging the EV’ and ‘complete the tour by shifting to conventional-fuel vehicles’. The study finds that increased tour distance leads to the choice of conventional fuel vehicle over the electric car. Besides, participation in a work tour and trip chain complexity positively affects choice of conventional fuel vehicles. While a higher initial SoC leads to decreased preferences for completing a tour on electric car with charging and shifting to conventional fuel vehicles. Overall, the study finds that travel behavior influences charging choices and travel decisions, E-car users still value conventional-fuel vehicles in accomplishing their travel patterns if E-car attributes are unfavorable.

Suggested Citation

  • Adsule, Poonam & Manoj, M., 2025. "A stated choice study to assess charging and travel decisions of electric car users considering car attributes and trip chaining complexity – Case New Delhi, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:transa:v:192:y:2025:i:c:s0965856424004142
    DOI: 10.1016/j.tra.2024.104366
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    References listed on IDEAS

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    1. Zhang, Yiyuan & Luo, Xia & Qiu, Yuansen & Fu, Yuxue, 2022. "Understanding the generation mechanism of BEV drivers' charging demand: An exploration of the relationship between charging choice and complexity of trip chaining patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 110-126.
    2. Esther Bekker-Grob & Bas Donkers & Marcel Jonker & Elly Stolk, 2015. "Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 8(5), pages 373-384, October.
    3. Hasan, Saiful & Simsekoglu, Özlem, 2020. "The role of psychological factors on vehicle kilometer travelled (VKT) for battery electric vehicle (BEV) users," Research in Transportation Economics, Elsevier, vol. 82(C).
    4. Fitt, Helen & Curl, Angela, 2020. "The early days of shared micromobility: A social practices approach," Journal of Transport Geography, Elsevier, vol. 86(C).
    5. Xuefang Li & Chenhui Liu & Jianmin Jia, 2019. "Ownership and Usage Analysis of Alternative Fuel Vehicles in the United States with the 2017 National Household Travel Survey Data," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    6. Krupa, Joseph S. & Rizzo, Donna M. & Eppstein, Margaret J. & Brad Lanute, D. & Gaalema, Diann E. & Lakkaraju, Kiran & Warrender, Christina E., 2014. "Analysis of a consumer survey on plug-in hybrid electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 14-31.
    7. Bansal, Prateek & Kumar, Rajeev Ranjan & Raj, Alok & Dubey, Subodh & Graham, Daniel J., 2021. "Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles," Energy Economics, Elsevier, vol. 100(C).
    8. Huang, Yuqiao & Gao, Linjie & Ni, Anning & Liu, Xiaoning, 2021. "Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 93(C).
    9. Globisch, Joachim & Plötz, Patrick & Dütschke, Elisabeth & Wietschel, Martin, 2019. "Consumer preferences for public charging infrastructure for electric vehicles," Transport Policy, Elsevier, vol. 81(C), pages 54-63.
    10. Prateek Bansal & Rajeev Ranjan Kumar & Alok Raj & Subodh Dubey & Daniel J. Graham, 2021. "Willingness to Pay and Attitudinal Preferences of Indian Consumers for Electric Vehicles," Papers 2101.08008, arXiv.org, revised May 2021.
    11. Wentao Jing & Mohsen Ramezani & Kun An & Inhi Kim, 2018. "Congestion patterns of electric vehicles with limited battery capacity," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-18, March.
    12. Li, Zhibin & Wang, Wei & Yang, Chen & Jiang, Guojun, 2013. "Exploring the causal relationship between bicycle choice and trip chain pattern," Transport Policy, Elsevier, vol. 29(C), pages 170-177.
    13. Wu, Xing, 2018. "Role of workplace charging opportunities on adoption of plug-in electric vehicles – Analysis based on GPS-based longitudinal travel data," Energy Policy, Elsevier, vol. 114(C), pages 367-379.
    14. Plötz, Patrick & Schneider, Uta & Globisch, Joachim & Dütschke, Elisabeth, 2014. "Who will buy electric vehicles? Identifying early adopters in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 96-109.
    15. Cirillo, C. & Axhausen, K.W., 2006. "Evidence on the distribution of values of travel time savings from a six-week diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 444-457, June.
    16. Xu, Min & Meng, Qiang & Liu, Kai & Yamamoto, Toshiyuki, 2017. "Joint charging mode and location choice model for battery electric vehicle users," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 68-86.
    17. Li, Wenbo & Long, Ruyin & Chen, Hong & Geng, Jichao, 2017. "A review of factors influencing consumer intentions to adopt battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 318-328.
    18. Cavadas, Joana & Homem de Almeida Correia, Gonçalo & Gouveia, João, 2015. "A MIP model for locating slow-charging stations for electric vehicles in urban areas accounting for driver tours," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 188-201.
    19. Wang, Shanyong & Wang, Jing & Li, Jun & Wang, Jinpeng & Liang, Liang, 2018. "Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 58-69.
    20. Bhat, Chandra R. & Singh, Sujit K., 2000. "A comprehensive daily activity-travel generation model system for workers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(1), pages 1-22, January.
    21. Azadfar, Elham & Sreeram, Victor & Harries, David, 2015. "The investigation of the major factors influencing plug-in electric vehicle driving patterns and charging behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1065-1076.
    22. Chen, Chien-fei & Zarazua de Rubens, Gerardo & Noel, Lance & Kester, Johannes & Sovacool, Benjamin K., 2020. "Assessing the socio-demographic, technical, economic and behavioral factors of Nordic electric vehicle adoption and the influence of vehicle-to-grid preferences," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    23. Ye, Xin & Pendyala, Ram M. & Gottardi, Giovanni, 2007. "An exploration of the relationship between mode choice and complexity of trip chaining patterns," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 96-113, January.
    24. Axsen, Jonn & Orlebar, Caroline & Skippon, Stephen, 2013. "Social influence and consumer preference formation for pro-environmental technology: The case of a U.K. workplace electric-vehicle study," Ecological Economics, Elsevier, vol. 95(C), pages 96-107.
    25. Zhou, Guanghui & Ou, Xunmin & Zhang, Xiliang, 2013. "Development of electric vehicles use in China: A study from the perspective of life-cycle energy consumption and greenhouse gas emissions," Energy Policy, Elsevier, vol. 59(C), pages 875-884.
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