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

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  • 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
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    References listed on IDEAS

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    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 9780521747387.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
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