IDEAS home Printed from https://ideas.repec.org/a/sot/journl/y2004i27p1-14.html
   My bibliography  Save this article

Potential demand and cost-benefit analysis of electric cars

Author

Listed:
  • Zito, Pietro
  • Salerno, Silvia

Abstract

In this study an analysis of electric family car performances is carried out. In particular, the aim of this research is to appraise the possibility of introducing electric cars in urban mobility and the evaluation of its economic feasibility. First of all, we determined the potential electric car demand, which was forecasted using a stated preference (SP) analysis. The survey was carried out at the University of Palermo considering a particular target of consumer: ‘the hybrid household’. A logit demand model was calibrated using the SP technique to model the choice between the electric car and the conventional one. In the second part of the work, the economic feasibility of the electric car is analysed by comparing the operating cost per kilometre of the internal combustion car with that of the electric one. Two options were analysed for electric cars: car purchase and car sharing.

Suggested Citation

  • Zito, Pietro & Salerno, Silvia, 2004. "Potential demand and cost-benefit analysis of electric cars," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 27, pages 1-14.
    • Handle: RePEc:sot:journl:y:2004:i:27:p:1-14
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10077/5842
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fredrik Carlsson & Olof Johansson-Stenman, 2003. "Costs and Benefits of Electric Vehicles," Journal of Transport Economics and Policy, University of Bath, vol. 37(1), pages 1-28, January.
    2. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    3. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    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. Cartenì, Armando & Cascetta, Ennio & de Luca, Stefano, 2016. "A random utility model for park & carsharing services and the pure preference for electric vehicles," Transport Policy, Elsevier, vol. 48(C), pages 49-59.
    2. Lopez, Neil Stephen & Tria, Lew Andrew & Tayo, Leo Allen & Cruzate, Rovinna Janel & Oppus, Carlos & Cabacungan, Paul & Isla, Igmedio & Ansay, Arjun & Garcia, Teodinis & Cabarrubias-Dela Cruz, Kevien &, 2021. "Societal cost-benefit analysis of electric vehicles in the Philippines with the inclusion of impacts to balance of payments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    3. J�r�me Massiani, 2013. "SP surveys for electric and alternative fuel vehicles: are we doing the right thing?," Working Papers 2013_01, Department of Economics, University of Venice "Ca' Foscari".
    4. Massiani, Jérôme, 2015. "Cost-Benefit Analysis of policies for the development of electric vehicles in Germany: Methods and results," Transport Policy, Elsevier, vol. 38(C), pages 19-26.

    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. Carlsson, Fredrik & Johansson-Stenman, Olof, 2002. "Costs and Benefits of Electric Vehicles - A 2010 Perspective," Working Papers in Economics 73, University of Gothenburg, Department of Economics.
    2. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    3. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    4. Proost, Stef & Van Dender, Kurt, 2012. "Energy and environment challenges in the transport sector," Economics of Transportation, Elsevier, vol. 1(1), pages 77-87.
    5. Ito, Nobuyuki & Takeuchi, Kenji & Managi, Shunsuke, 2019. "Do battery-switching systems accelerate the adoption of electric vehicles? A stated preference study," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 85-92.
    6. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    7. Elisabetta Cherchi & Juan de Dios Ortúzar, 2011. "On the Use of Mixed RP/SP Models in Prediction: Accounting for Systematic and Random Taste Heterogeneity," Transportation Science, INFORMS, vol. 45(1), pages 98-108, February.
    8. Hossan, Md Sakoat & Asgari, Hamidreza & Jin, Xia, 2016. "Investigating preference heterogeneity in Value of Time (VOT) and Value of Reliability (VOR) estimation for managed lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 638-649.
    9. Richard T. Carson & Miko_aj Czajkowski, 2014. "The discrete choice experiment approach to environmental contingent valuation," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 9, pages 202-235, Edward Elgar Publishing.
    10. ILes, Richard, 2017. "Government Doctor Absenteeism And Its Effects On Consumer Demand In Rural North India," Working Papers 2018-9, School of Economic Sciences, Washington State University, revised 12 2018.
    11. Hensher, David A., 2012. "Accounting for scale heterogeneity within and between pooled data sources," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 480-486.
    12. Petschnig, Martin & Heidenreich, Sven & Spieth, Patrick, 2014. "Innovative alternatives take action – Investigating determinants of alternative fuel vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 68-83.
    13. Brunelli, Matteo & Ditta, Chiara Caterina & Postorino, Maria Nadia, 2023. "SP surveys to estimate Airport Shuttle demand in an Urban Air Mobility context," Transport Policy, Elsevier, vol. 141(C), pages 129-139.
    14. Deka, Devajyoti & Carnegie, Jon, 2021. "Predicting transit mode choice of New Jersey workers commuting to New York City from a stated preference survey," Journal of Transport Geography, Elsevier, vol. 91(C).
    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. Axsen, Jonn & Kurani, Kenneth S., 2013. "Hybrid, plug-in hybrid, or electric—What do car buyers want?," Energy Policy, Elsevier, vol. 61(C), pages 532-543.
    17. Tamara L. Sheldon & J. R. DeShazo & Richard T. Carson, 2017. "Electric And Plug-In Hybrid Vehicle Demand: Lessons For An Emerging Market," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 695-713, April.
    18. Schuster, Monica & Vranken, Liesbet & Maertens, Miet, 2017. "You Can(’t) Always Get the Job You Want: Stated versus Revealed Employment Preferences in the Peruvian Agro-industry," Working Papers 254076, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    19. Perrels, Adriaan & Tuovinen, Tarja, 2012. "The Effectiveness of Differentiation of the Finnish Car Purchase Tax according to Carbon Dioxide Emission Performance," Research Reports 168, VATT Institute for Economic Research.
    20. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.

    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:sot:journl:y:2004:i:27:p:1-14. 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: Romeo Danielis (email available below). General contact details of provider: https://edirc.repec.org/data/xxxxxxx.html .

    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.