IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v51y2024i3d10.1007_s11116-022-10353-1.html
   My bibliography  Save this article

Subscribing to new technology: consumer preferences for short-term ownership of electric vehicles

Author

Listed:
  • Andre L. Carrel

    (The Ohio State University
    The Ohio State University)

  • Lee V. White

    (The Ohio State University
    The Australian National University)

  • Christina Gore

    (The Ohio State University
    National Institute of Standards and Technology)

  • Harsh Shah

    (The Ohio State University)

Abstract

Broader adoption of battery electric vehicles (BEVs) and reductions in household car ownership are key to meeting climate goals. Yet, BEV market shares remain low in most countries, and car sharing systems tend to appeal to a limited demographic. In this research we examine a novel ownership option that allows households more flexibility in car ownership: short-term vehicle subscriptions that provide users with exclusive access to a vehicle for 6–12 months and incorporate soft costs such as insurance and maintenance. We investigate whether subscriptions can appeal to distinct segments of the population and whether preferences for subscriptions compared to purchases differ between fuel types. Among other factors, we consider the role of drivers’ self-identity as technology enthusiasts and environmentalists. Data are collected through a discrete choice experiment with 1,567 individuals in three US states. An integrated latent class and latent variable choice model indicates the presence of three distinct classes: one motivated by preference for ownership, one motivated by a combination of enthusiasm for new technology and care for the environment, and one motivated by cost concerns. While the subscription option is never appealing to the ownership-oriented class, we find a preference for subscribing to a BEV rather than purchasing it among the class that is both technology-oriented and environmentally conscious. Furthermore, while the cost-oriented class would be averse to subscribing to a conventional vehicle, it is not averse to a BEV or hybrid vehicle subscription. This suggests that subscription models could allow consumers who are unwilling to commit to purchasing a BEV to gather experience with one.

Suggested Citation

  • Andre L. Carrel & Lee V. White & Christina Gore & Harsh Shah, 2024. "Subscribing to new technology: consumer preferences for short-term ownership of electric vehicles," Transportation, Springer, vol. 51(3), pages 875-909, June.
  • Handle: RePEc:kap:transp:v:51:y:2024:i:3:d:10.1007_s11116-022-10353-1
    DOI: 10.1007/s11116-022-10353-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-022-10353-1
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11116-022-10353-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bore Sköld & Marta Baltruszewicz & Carlo Aall & Camilla Andersson & Alina Herrmann & Dorothee Amelung & Carine Barbier & Maria Nilsson & Sébastien Bruyère & Rainer Sauerborn, 2018. "Household Preferences to Reduce Their Greenhouse Gas Footprint: A Comparative Study from Four European Cities," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    2. 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.
    3. Axsen, Jonn & TyreeHageman, Jennifer & Lentz, Andy, 2012. "Lifestyle practices and pro-environmental technology," Ecological Economics, Elsevier, vol. 82(C), pages 64-74.
    4. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.
    5. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7nq9p0cv, University of California Transportation Center.
    6. Skippon, Stephen M. & Kinnear, Neale & Lloyd, Louise & Stannard, Jenny, 2016. "How experience of use influences mass-market drivers’ willingness to consider a battery electric vehicle: A randomised controlled trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 26-42.
    7. Elsa Varela & Pierre-Alexandre Mahieu & Marek Giergiczny & Pere Riera & Mario Soliño, 2014. "Testing the single opt-out reminder in choice experiments: An application to fuel break management in Spain," Post-Print hal-04295866, HAL.
    8. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7ng2z24q, University of California Transportation Center.
    9. Khan, Mobashwir & Kockelman, Kara M., 2012. "Predicting the market potential of plug-in electric vehicles using multiday GPS data," Energy Policy, Elsevier, vol. 46(C), pages 225-233.
    10. Axsen, Jonn & Bailey, Joseph & Castro, Marisol Andrea, 2015. "Preference and lifestyle heterogeneity among potential plug-in electric vehicle buyers," Energy Economics, Elsevier, vol. 50(C), pages 190-201.
    11. White, Lee V. & Sintov, Nicole D., 2017. "You are what you drive: Environmentalist and social innovator symbolism drives electric vehicle adoption intentions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 94-113.
    12. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    13. Chorus, Caspar G. & Kroesen, Maarten, 2014. "On the (im-)possibility of deriving transport policy implications from hybrid choice models," Transport Policy, Elsevier, vol. 36(C), pages 217-222.
    14. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    15. Liao, Fanchao & Molin, Eric & Timmermans, Harry & van Wee, Bert, 2018. "The impact of business models on electric vehicle adoption: A latent transition analysis approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 531-546.
    16. Yongsung Lee & Giovanni Circella & Patricia L. Mokhtarian & Subhrajit Guhathakurta, 2020. "Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California," Transportation, Springer, vol. 47(5), pages 2505-2528, October.
    17. Palmer, Kate & Tate, James E. & Wadud, Zia & Nellthorp, John, 2018. "Total cost of ownership and market share for hybrid and electric vehicles in the UK, US and Japan," Applied Energy, Elsevier, vol. 209(C), pages 108-119.
    18. Liao, Fanchao & Molin, Eric & Timmermans, Harry & van Wee, Bert, 2019. "Consumer preferences for business models in electric vehicle adoption," Transport Policy, Elsevier, vol. 73(C), pages 12-24.
    19. Hong Sok Kim & Eungcheol Kim, 2004. "Effects Of Public Transit On Automobile Ownership And Use In Households Of The Usa," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 16(3), pages 245-262, November.
    20. Hess, Stephane & Train, Kenneth E. & Polak, John W., 2006. "On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 147-163, February.
    21. Wang, Xiao-Wu & Cao, Yu-Mei & Zhang, Ning, 2021. "The influences of incentive policy perceptions and consumer social attributes on battery electric vehicle purchase intentions," Energy Policy, Elsevier, vol. 151(C).
    22. Lévay, Petra Zsuzsa & Drossinos, Yannis & Thiel, Christian, 2017. "The effect of fiscal incentives on market penetration of electric vehicles: A pairwise comparison of total cost of ownership," Energy Policy, Elsevier, vol. 105(C), pages 524-533.
    23. Hardman, Scott & Shiu, Eric & Steinberger-Wilckens, Robert, 2016. "Comparing high-end and low-end early adopters of battery electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 40-57.
    24. Varela, Elsa & Mahieu, Pierre-Alexandre & Giergiczny, Marek & Riera, Pere & Soliño, Mario, 2014. "Testing the single opt-out reminder in choice experiments: An application to fuel break management in Spain," Journal of Forest Economics, Elsevier, vol. 20(3), pages 212-222.
    25. Louviere, Jordan J, 2001. "What If Consumer Experiments Impact Variances as Well as Means? Response Variability as a Behavioral Phenomenon," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 506-511, December.
    26. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
    27. Schuitema, Geertje & Anable, Jillian & Skippon, Stephen & Kinnear, Neale, 2013. "The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 39-49.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oryani, Bahareh & Koo, Yoonmo & Shafiee, Afsaneh & Rezania, Shahabaldin & Jung, Jiyeon & Choi, Hyunhong & Khan, Muhammad Kamran, 2022. "Heterogeneous preferences for EVs: Evidence from Iran," Renewable Energy, Elsevier, vol. 181(C), pages 675-691.
    2. Mohamed, Moataz & Higgins, Christopher D. & Ferguson, Mark & Réquia, Weeberb J., 2018. "The influence of vehicle body type in shaping behavioural intention to acquire electric vehicles: A multi-group structural equation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 54-72.
    3. Huang, Youlin & Qian, Lixian, 2021. "Consumer adoption of electric vehicles in alternative business models," Energy Policy, Elsevier, vol. 155(C).
    4. Jia, Wenjian & Jiang, Zhiqiu & Wang, Qian & Xu, Bin & Xiao, Mei, 2023. "Preferences for zero-emission vehicle attributes: Comparing early adopters with mainstream consumers in California," Transport Policy, Elsevier, vol. 135(C), pages 21-32.
    5. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    6. Jia, Wenjian & Chen, T. Donna, 2023. "Investigating heterogeneous preferences for plug-in electric vehicles: Policy implications from different choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    7. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    8. Hardman, Scott & Tal, Gil, 2021. "Discontinuance Among California’s Electric Vehicle Buyers: Why are Some Consumers Abandoning Electric Vehicles?," Institute of Transportation Studies, Working Paper Series qt11n6f4hs, Institute of Transportation Studies, UC Davis.
    9. Rye, Jamie & Sintov, Nicole D., 2024. "Predictors of electric vehicle adoption intent in rideshare drivers relative to commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    10. Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
    11. Peng Cheng & Zhe Ouyang & Yang Liu, 0. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 0, pages 1-20.
    12. Felix Hinnüber & Marek Szarucki & Katarzyna Szopik-Depczyńska, 2019. "The Effects of a First-Time Experience on the Evaluation of Battery Electric Vehicles by Potential Consumers," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    13. Keskisaari, Ville & Ottelin, Juudit & Heinonen, Jukka, 2017. "Greenhouse gas impacts of different modality style classes using latent class travel behavior model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 155-164.
    14. 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.
    15. Salari, Nasir, 2022. "Electric vehicles adoption behaviour: Synthesising the technology readiness index with environmentalism values and instrumental attributes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 60-81.
    16. Goel, Pooja & Kumar, Aalok & Parayitam, Satyanarayana & Luthra, Sunil, 2023. "Understanding transport users' preferences for adopting electric vehicle based mobility for sustainable city: A moderated moderated-mediation model," Journal of Transport Geography, Elsevier, vol. 106(C).
    17. Peng Cheng & Zhe Ouyang & Yang Liu, 2020. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 47(5), pages 2067-2086, October.
    18. 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).
    19. Kim, Sung Hoo & Mokhtarian, Patricia L., 2018. "Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modelin," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 130-150.
    20. Sanjana Hossain & Md. Sami Hasnine & Khandker Nurul Habib, 2021. "A latent class joint mode and departure time choice model for the Greater Toronto and Hamilton Area," Transportation, Springer, vol. 48(3), pages 1217-1239, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:transp:v:51:y:2024:i:3:d:10.1007_s11116-022-10353-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.