IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v254y2022ipas0360544222012865.html
   My bibliography  Save this article

Evaluating the current perceived cost of ownership for buses and trucks in China

Author

Listed:
  • Hao, Xu
  • Ou, Shiqi
  • Lin, Zhenhong
  • He, Xin
  • Bouchard, Jessey
  • Wang, Hewu
  • Li, Liguo

Abstract

Decarbonizing commercial vehicles, including buses, trucks, and special purpose vehicles, is essential for China to achieve its carbon neutrality target by 2060. However, understanding the adoption barriers of alternative fuel technologies for commercial vehicles has largely been limited to the total cost of ownership approach that mainly considers tangible costs. This study proposes a perceived cost of ownership (PCO) model, which monetizes both tangible and implicit costs, including charging annoyance for buses and trucks by size and classification under different use scenarios. In the case study for China's current bus and truck market, the PCO of alternative fuel technologies, such as battery electric vehicles (BEVs) and fuel cell electric vehicles (FCEVs) are 27%–129% and 31%–86% higher than the most economically competitive powertrains – the compressed natural/liquefied petroleum gas technology and hybrid electric technology. BEVs could be cost-effective in the mini/midsize bus segment or in the daily short-distance driving scenario, and FCEVs could firstly be deployed in cities with a low hydrogen price. Though the implicit costs caused by range anxiety and charging annoyance account for at least 27% of BEV's PCO, making BEV uncompetitive, the battery swapping technique could reduce the implicit cost and overall cash outflow for BEV owners.

Suggested Citation

  • Hao, Xu & Ou, Shiqi & Lin, Zhenhong & He, Xin & Bouchard, Jessey & Wang, Hewu & Li, Liguo, 2022. "Evaluating the current perceived cost of ownership for buses and trucks in China," Energy, Elsevier, vol. 254(PA).
  • Handle: RePEc:eee:energy:v:254:y:2022:i:pa:s0360544222012865
    DOI: 10.1016/j.energy.2022.124383
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222012865
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.124383?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. Figenbaum, Erik, 2018. "Can battery electric light commercial vehicles work for craftsmen and service enterprises?," Energy Policy, Elsevier, vol. 120(C), pages 58-72.
    2. Hao, Xu & Lin, Zhenhong & Wang, Hewu & Ou, Shiqi & Ouyang, Minggao, 2020. "Range cost-effectiveness of plug-in electric vehicle for heterogeneous consumers: An expanded total ownership cost approach," Applied Energy, Elsevier, vol. 275(C).
    3. Kobberling, Veronika & Wakker, Peter P., 2005. "An index of loss aversion," Journal of Economic Theory, Elsevier, vol. 122(1), pages 119-131, May.
    4. Scorrano, Mariangela & Danielis, Romeo & Giansoldati, Marco, 2021. "Electric light commercial vehicles for a cleaner urban goods distribution. Are they cost competitive?," Research in Transportation Economics, Elsevier, vol. 85(C).
    5. Davis, Brian A. & Figliozzi, Miguel A., 2013. "A methodology to evaluate the competitiveness of electric delivery trucks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 8-23.
    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. Li, Mingyang & Tang, Jinjun, 2023. "Simulation-based optimization considering energy consumption for assisted station locations to enhance flex-route transit," Energy, Elsevier, vol. 277(C).
    2. Chen, Xiaoyuan & Pang, Zhou & Jiang, Shan & Zhang, Mingshun & Feng, Juan & Fu, Lin & Shen, Boyang, 2023. "A novel LH2/GH2/battery multi-energy vehicle supply station using 100% local wind energy: Technical, economic and environmental perspectives," Energy, Elsevier, vol. 270(C).
    3. Jahangir Samet, Mehdi & Liimatainen, Heikki & Pihlatie, Mikko & van Vliet, Oscar Patrick René, 2024. "Levelized cost of driving for medium and heavy-duty battery electric trucks," Applied Energy, Elsevier, vol. 361(C).
    4. Wang, Hang & Hu, Yige & Jiang, Feng & Ling, Xiang, 2022. "Thermal performance of industrial-grade CH3COONa·3H2O-based composite phase change materials in a plate heat storage unit," Energy, Elsevier, vol. 261(PA).

    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. Gil Ribeiro, Carolina & Silveira, Semida, 2024. "The impact of financial incentives on the total cost of ownership of electric light commercial vehicles in EU countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    2. Heiko Karle & Georg Kirchsteiger & Martin Peitz, 2015. "Loss Aversion and Consumption Choice: Theory and Experimental Evidence," American Economic Journal: Microeconomics, American Economic Association, vol. 7(2), pages 101-120, May.
    3. Martín Egozcue & Sébastien Massoni & Wing-Keung Wong & RiÄ ardas Zitikis, 2012. "Integration-segregation decisions under general value functions: "Create your own bundle — choose 1, 2, or all 3!"," Documents de travail du Centre d'Economie de la Sorbonne 12057, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    4. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    5. Bin Zou, 2017. "Optimal Investment In Hedge Funds Under Loss Aversion," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-32, May.
    6. Roel M. Post & Paul Buijs & Michiel A. J. uit het Broek & Jose A. Lopez Alvarez & Nick B. Szirbik & Iris F. A. Vis, 2018. "A solution approach for deriving alternative fuel station infrastructure requirements," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 592-607, September.
    7. Luís Santos-Pinto & Adrian Bruhin & José Mata & Thomas Åstebro, 2015. "Detecting heterogeneous risk attitudes with mixed gambles," Theory and Decision, Springer, vol. 79(4), pages 573-600, December.
    8. Enrico G. De Giorgi & Thierry Post, 2011. "Loss Aversion with a State-Dependent Reference Point," Management Science, INFORMS, vol. 57(6), pages 1094-1110, June.
    9. Tannaz Jahaniaghdam & Amir Reza Mamdoohi & Salman Aghidi Kheyrabadi & Mehdi Mehryar & Francesco Ciari, 2023. "Preferences for Alternative Fuel Trucks among International Transport Companies," World, MDPI, vol. 4(4), pages 1-21, November.
    10. Edoardo GAFFEO & Ivan PETRELLA & Damjan PFAJFAR & Emiliano SANTORO, 2010. "Reference-dependent preferences and the transmission of monetary policy," Working Papers of Department of Economics, Leuven ces10.28, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    11. Raeesi, Ramin & Zografos, Konstantinos G., 2020. "The electric vehicle routing problem with time windows and synchronised mobile battery swapping," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 101-129.
    12. Johansson-Stenman, Olof, 2010. "Risk aversion and expected utility of consumption over time," Games and Economic Behavior, Elsevier, vol. 68(1), pages 208-219, January.
    13. Cortés-Murcia, David L. & Prodhon, Caroline & Murat Afsar, H., 2019. "The electric vehicle routing problem with time windows, partial recharges and satellite customers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 184-206.
    14. Mehdi Jahangir Samet & Heikki Liimatainen & Oscar Patrick René van Vliet & Markus Pöllänen, 2021. "Road Freight Transport Electrification Potential by Using Battery Electric Trucks in Finland and Switzerland," Energies, MDPI, vol. 14(4), pages 1-22, February.
    15. D. A. Peel & Jie Zhang & D. Law, 2008. "The Markowitz model of utility supplemented with a small degree of probability distortion as an explanation of outcomes of Allais experiments over large and small payoffs and gambling on unlikely outc," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 17-26.
    16. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    17. Li, Jingjing & Nian, Victor & Jiao, Jianling, 2022. "Diffusion and benefits evaluation of electric vehicles under policy interventions based on a multiagent system dynamics model," Applied Energy, Elsevier, vol. 309(C).
    18. Peters, Hans, 2012. "A preference foundation for constant loss aversion," Journal of Mathematical Economics, Elsevier, vol. 48(1), pages 21-25.
    19. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, Elisabet E., 2010. "Behavioral econometrics for psychologists," Journal of Economic Psychology, Elsevier, vol. 31(4), pages 553-576, August.
    20. Attema, Arthur E. & Brouwer, Werner B.F. & l’Haridon, Olivier & Pinto, Jose Luis, 2016. "An elicitation of utility for quality of life under prospect theory," Journal of Health Economics, Elsevier, vol. 48(C), pages 121-134.

    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:energy:v:254:y:2022:i:pa:s0360544222012865. 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.journals.elsevier.com/energy .

    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.