IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v164y2022icp242-256.html
   My bibliography  Save this article

Policy and industry implications of the potential market penetration of electric vehicles with eco-cooperative adaptive cruise control

Author

Listed:
  • Bas, Javier
  • Zofío, José L.
  • Cirillo, Cinzia
  • Chen, Hao
  • Rakha, Hesham A.

Abstract

The Eco-Cooperative Adaptive Cruise Control (Eco-CACC) makes use of an algorithm to compute energy-optimized speed profiles within the vicinity of signalized intersections. We conduct a stated choice experiment to unveil the inclination of drivers towards the Eco-CACC and to calculate its potential market share. To do so, we consider the performance of the system in field and simulated tests, as well as different types of drivers. Models of discrete choice are used to identify key elements in the adoption of this technology and its market penetration. The study has been performed for gasoline and electric vehicles, as well as for different categories of roads (arterial, highways and both), separately, exploring the effect of the advantages that the Eco-CACC features bring to both. Our results demonstrate, for the gasoline-powered, that potential purchasers perceive a clear trade-off between the cost of the system and the fuel savings that it provides. This is not the case for potential electric vehicles purchasers, for whom the cost-benefit analysis is adverse, mainly due to the low cost of electricity compared to gasoline. Nevertheless, the market shares resulting from the estimated models give a significant quota to the alternatives that include the Eco-CACC, resulting from favorable attitudes towards environmentally friendly technological innovations.

Suggested Citation

  • Bas, Javier & Zofío, José L. & Cirillo, Cinzia & Chen, Hao & Rakha, Hesham A., 2022. "Policy and industry implications of the potential market penetration of electric vehicles with eco-cooperative adaptive cruise control," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 242-256.
    • Handle: RePEc:eee:transa:v:164:y:2022:i:c:p:242-256
    DOI: 10.1016/j.tra.2022.08.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856422002038
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2022.08.007?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. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    2. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    3. Horne, Matt & Jaccard, Mark & Tiedemann, Ken, 2005. "Improving behavioral realism in hybrid energy-economy models using discrete choice studies of personal transportation decisions," Energy Economics, Elsevier, vol. 27(1), pages 59-77, January.
    4. Cherchi, Elisabetta, 2017. "A stated choice experiment to measure the effect of informational and normative conformity in the preference for electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 88-104.
    5. Cirillo, Cinzia & Liu, Yan & Maness, Michael, 2017. "A time-dependent stated preference approach to measuring vehicle type preferences and market elasticity of conventional and green vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 294-310.
    6. Calfee, John E., 1985. "Estimating the demand for electric automobiles using fully disaggregated probabilistic choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 19(4), pages 287-301, August.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    9. Hao Chen & Hesham A. Rakha, 2020. "Battery Electric Vehicle Eco-Cooperative Adaptive Cruise Control in the Vicinity of Signalized Intersections," Energies, MDPI, vol. 13(10), pages 1-16, May.
    10. Tanaka, Makoto & Ida, Takanori & Murakami, Kayo & Friedman, Lee, 2014. "Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 194-209.
    11. Rico Krueger & Taha H. Rashidi & Vinayak V. Dixit, 2019. "Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey," Papers 1905.11486, arXiv.org, revised Sep 2019.
    12. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    13. Louviere, Jordan J & Hensher, David A, 1983. "Using Discrete Choice Models with Experimental Design Data to Forecast Consumer Demand for a Unique Cultural Event," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(3), pages 348-361, December.
    14. Kim, Moon-Koo & Oh, Jeesun & Park, Jong-Hyun & Joo, Changlim, 2018. "Perceived value and adoption intention for electric vehicles in Korea: Moderating effects of environmental traits and government supports," Energy, Elsevier, vol. 159(C), pages 799-809.
    15. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    16. S. Weerahandi & S. R. Dalal, 1992. "A Choice-Based Approach to the Diffusion of a Service: Forecasting Fax Penetration by Market Segments," Marketing Science, INFORMS, vol. 11(1), pages 39-53.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qian, Lixian & Huang, Youlin & Tyfield, David & Soopramanien, Didier, 2023. "Dynamic consumer preferences for electric vehicles in China: A longitudinal approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    2. Omid Ghaffarpasand & Mark Burke & Louisa K. Osei & Helen Ursell & Sam Chapman & Francis D. Pope, 2022. "Vehicle Telematics for Safer, Cleaner and More Sustainable Urban Transport: A Review," Sustainability, MDPI, vol. 14(24), pages 1-20, December.

    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. Loría, Luis Enrique & Watson, Verity & Kiso, Takahiko & Phimister, Euan, 2019. "Investigating users' preferences for Low Emission Buses: Experiences from Europe's largest hydrogen bus fleet," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    2. 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).
    3. Anders F. Jensen & Elisabetta Cherchi & Stefan L. Mabit & Juan de Dios Ortúzar, 2017. "Predicting the Potential Market for Electric Vehicles," Transportation Science, INFORMS, vol. 51(2), pages 427-440, May.
    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. Fanchao Liao & Eric Molin & Bert van Wee, 2017. "Consumer preferences for electric vehicles: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 252-275, May.
    6. Zulfiqar Ali Lashari & Joonho Ko & Seunghyun Jung & Sungtaek Choi, 2022. "Choices of Potential Car Buyers Regarding Alternative Fuel Vehicles in South Korea: A Discrete Choice Modeling Approach," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    7. Kwon, Yeongmin & Son, Sanghoon & Jang, Kitae, 2018. "Evaluation of incentive policies for electric vehicles: An experimental study on Jeju Island," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 404-412.
    8. Tanaka, Makoto & Ida, Takanori & Murakami, Kayo & Friedman, Lee, 2014. "Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 194-209.
    9. Wolinetz, Michael & Axsen, Jonn, 2017. "How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 238-250.
    10. Gabriela D. Oliveira & Luis C. Dias, 2019. "Influence of Demographics on Consumer Preferences for Alternative Fuel Vehicles: A Review of Choice Modelling Studies and a Study in Portugal," Energies, MDPI, vol. 12(2), pages 1-33, January.
    11. Hackbarth, André & Madlener, Reinhard, 2011. "Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis," FCN Working Papers 20/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    12. Bera, Reema & Maitra, Bhargab, 2021. "Assessing consumer preferences for Plug-in Hybrid Electric Vehicle (PHEV): An Indian perspective," Research in Transportation Economics, Elsevier, vol. 90(C).
    13. Qian, Lixian & Huang, Youlin & Tyfield, David & Soopramanien, Didier, 2023. "Dynamic consumer preferences for electric vehicles in China: A longitudinal approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    14. Hackbarth, André & Madlener, Reinhard, 2018. "Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany," FCN Working Papers 17/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2019.
    15. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
    16. Noel, Lance & Papu Carrone, Andrea & Jensen, Anders Fjendbo & Zarazua de Rubens, Gerardo & Kester, Johannes & Sovacool, Benjamin K., 2019. "Willingness to pay for electric vehicles and vehicle-to-grid applications: A Nordic choice experiment," Energy Economics, Elsevier, vol. 78(C), pages 525-534.
    17. Vardit Landsman & Moshe Givon, 2010. "The diffusion of a new service: Combining service consideration and brand choice," Quantitative Marketing and Economics (QME), Springer, vol. 8(1), pages 91-121, March.
    18. Bhat, Furqan A. & Verma, Ashish, 2024. "Electric two-wheeler adoption in India – A discrete choice analysis of motivators and barriers affecting the potential electric two-wheeler buyers," Transport Policy, Elsevier, vol. 152(C), pages 118-131.
    19. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
    20. Reema Bera & Bhargab Maitra, 2021. "Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment," Sustainability, MDPI, vol. 13(14), pages 1-24, July.

    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:eee:transa:v:164:y:2022:i:c:p:242-256. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.