IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01670912.html
   My bibliography  Save this paper

Does " Driving Range " really matter?

Author

Listed:
  • Hidetada Higashi

    (CEAFJP - Centre d’études avancées franco-japonais de Paris - FFJ - Fondation France-Japon de l'EHESS - EHESS - École des hautes études en sciences sociales)

Abstract

This article proposes the selection model of optimal powertrain for usage conditions especially between Internal Combustion Engine Vehicles (ICE vehicles) and Battery Electric Vehicles (BEVs), which is possible "Disruptive Innovation" stated by Christensen (1997). Using the statistics provided by official data of Japan, author estimated the average of actual maximum driving range of ICE vehicle currently sold. The analysis revealed that the actual fuel efficiency and maximum driving range of ICE vehicles is much lower than nominal one published by OEMs. After that, citing two cases of Japan, author examines the fit between the usage pattern and the choice of power train. Discussing these cases and analysis, the author concludes that that the driving range of BEV dose not solely matter for optimal choice of powertrain. Rather, the driving range and the fit between usage patterns and the availability of "charging place" jointly affect to the optimal choice.

Suggested Citation

  • Hidetada Higashi, 2017. "Does " Driving Range " really matter?," Working Papers hal-01670912, HAL.
    • Handle: RePEc:hal:wpaper:hal-01670912
    Note: View the original document on HAL open archive server: https://hal.science/hal-01670912
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01670912/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Green, Erin H. & Skerlos, Steven J. & Winebrake, James J., 2014. "Increasing electric vehicle policy efficiency and effectiveness by reducing mainstream market bias," Energy Policy, Elsevier, vol. 65(C), pages 562-566.
    2. Marc Dijk, 2014. "A socio-technical perspective on the electrification of the automobile: niche and regime interaction," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 14(2), pages 158-171.
    3. Robert D. Dewar & Jane E. Dutton, 1986. "The Adoption of Radical and Incremental Innovations: An Empirical Analysis," Management Science, INFORMS, vol. 32(11), pages 1422-1433, November.
    4. Wolf, Ingo & Schröder, Tobias & Neumann, Jochen & de Haan, Gerhard, 2015. "Changing minds about electric cars: An empirically grounded agent-based modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 269-285.
    5. Shafiei, Ehsan & Thorkelsson, Hedinn & Ásgeirsson, Eyjólfur Ingi & Davidsdottir, Brynhildur & Raberto, Marco & Stefansson, Hlynur, 2012. "An agent-based modeling approach to predict the evolution of market share of electric vehicles: A case study from Iceland," Technological Forecasting and Social Change, Elsevier, vol. 79(9), pages 1638-1653.
    6. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
    7. von Rosenstiel, Dirk Peters & Heuermann, Daniel F. & Hüsig, Stefan, 2015. "Why has the introduction of natural gas vehicles failed in Germany?—Lessons on the role of market failure in markets for alternative fuel vehicles," Energy Policy, Elsevier, vol. 78(C), pages 91-101.
    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. Tobias Buchmann & Patrick Wolf & Stefan Fidaschek, 2021. "Stimulating E-Mobility Diffusion in Germany (EMOSIM): An Agent-Based Simulation Approach," Energies, MDPI, vol. 14(3), pages 1-25, January.
    2. Breschi, Valentina & Ravazzi, Chiara & Strada, Silvia & Dabbene, Fabrizio & Tanelli, Mara, 2023. "Driving electric vehicles’ mass adoption: An architecture for the design of human-centric policies to meet climate and societal goals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    3. Harrison, Gillian & Thiel, Christian, 2017. "An exploratory policy analysis of electric vehicle sales competition and sensitivity to infrastructure in Europe," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 165-178.
    4. Seiho Kim & Jaesik Lee & Chulung Lee, 2017. "Does Driving Range of Electric Vehicles Influence Electric Vehicle Adoption?," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
    5. Gnann, Till & Stephens, Thomas S. & Lin, Zhenhong & Plötz, Patrick & Liu, Changzheng & Brokate, Jens, 2018. "What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 158-164.
    6. Hidayatno, Akhmad & Jafino, Bramka Arga & Setiawan, Andri D. & Purwanto, Widodo Wahyu, 2020. "When and why does transition fail? A model-based identification of adoption barriers and policy vulnerabilities for transition to natural gas vehicles," Energy Policy, Elsevier, vol. 138(C).
    7. Qianwen Li & Ruyin Long & Hong Chen & Jichao Geng, 2017. "Low Purchase Willingness for Battery Electric Vehicles: Analysis and Simulation Based on the Fault Tree Model," Sustainability, MDPI, vol. 9(5), pages 1-20, May.
    8. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2015. "Comparative analysis of hydrogen, biofuels and electricity transitional pathways to sustainable transport in a renewable-based energy system," Energy, Elsevier, vol. 83(C), pages 614-627.
    9. Wenbo Li & Ruyin Long & Hong Chen & Baoqi Dou & Feiyu Chen & Xiao Zheng & Zhengxia He, 2020. "Public Preference for Electric Vehicle Incentive Policies in China: A Conjoint Analysis," IJERPH, MDPI, vol. 17(1), pages 1-16, January.
    10. Vytautas Palevičius & Askoldas Podviezko & Henrikas Sivilevičius & Olegas Prentkovskis, 2018. "Decision-Aiding Evaluation of Public Infrastructure for Electric Vehicles in Cities and Resorts of Lithuania," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    11. Falcão, Eduardo Aparecido Moreira & Teixeira, Ana Carolina Rodrigues & Sodré, José Ricardo, 2017. "Analysis of CO2 emissions and techno-economic feasibility of an electric commercial vehicle," Applied Energy, Elsevier, vol. 193(C), pages 297-307.
    12. Park, Soyeong & Maeng, Kyuho & Shin, Jungwoo, 2023. "Efficient subsidy distribution for hydrogen fuel cell vehicles based on demand segmentation," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    13. Cristina Sousa & Evaldo Costa, 2022. "Types of Policies for the Joint Diffusion of Electric Vehicles with Renewable Energies and Their Use Worldwide," Energies, MDPI, vol. 15(20), pages 1-19, October.
    14. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2016. "The effect of policy incentives on electric vehicle adoption," Energy Policy, Elsevier, vol. 94(C), pages 94-103.
    15. Huotari, Pontus & Järvi, Kati & Kortelainen, Samuli & Huhtamäki, Jukka, 2017. "Winner does not take all: Selective attention and local bias in platform-based markets," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 313-326.
    16. Mehdizadeh, Milad & Nordfjaern, Trond & Klöckner, Christian A., 2022. "A systematic review of the agent-based modelling/simulation paradigm in mobility transition," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    17. Ji, Zhenya & Huang, Xueliang, 2018. "Plug-in electric vehicle charging infrastructure deployment of China towards 2020: Policies, methodologies, and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 710-727.
    18. Scheller, Fabian & Johanning, Simon & Bruckner, Thomas, 2019. "A review of designing empirically grounded agent-based models of innovation diffusion: Development process, conceptual foundation and research agenda," Contributions of the Institute for Infrastructure and Resources Management 01/2019, University of Leipzig, Institute for Infrastructure and Resources Management.
    19. Gu, Xiaoyu & Ieromonachou, Petros & Zhou, Li, 2019. "Subsidising an electric vehicle supply chain with imperfect information," International Journal of Production Economics, Elsevier, vol. 211(C), pages 82-97.
    20. Li, Wenbo & Long, Ruyin & Chen, Hong & Yang, Tong & Geng, Jichao & Yang, Muyi, 2018. "Effects of personal carbon trading on the decision to adopt battery electric vehicles: Analysis based on a choice experiment in Jiangsu, China," Applied Energy, Elsevier, vol. 209(C), pages 478-488.

    More about this item

    Keywords

    Innovation; Disruptive Innovation; Value proposition; Diffusion of innovation; Automotive industry; Innovative power train; Fuel efficiency; Driving range; Electric vehicle; Urban mobility;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hal:wpaper:hal-01670912. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.