IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v49y2013i1p8-23.html
   My bibliography  Save this article

A methodology to evaluate the competitiveness of electric delivery trucks

Author

Listed:
  • Davis, Brian A.
  • Figliozzi, Miguel A.

Abstract

This paper examines the competitiveness of the latest generation of electric delivery trucks. A new model that integrates routing constraints, speed profiles, energy consumption, and vehicle ownership costs is developed. The model is applied to the study the competitiveness of three commercial vehicles: a widely available conventional diesel truck and two brands of electric trucks. Scenarios and breakeven points are calculated and analyzed for a large number parameter combination. The results show that route feasibility, minimum fleet size, distance traveled, battery life, purchase costs, and planning horizon are among the most significant factors affecting commercial electric vehicle competitiveness.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:49:y:2013:i:1:p:8-23
    DOI: 10.1016/j.tre.2012.07.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554512000658
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2012.07.003?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. Figliozzi, Miguel Andres, 2009. "Planning approximations to the average length of vehicle routing problems with time window constraints," Transportation Research Part B: Methodological, Elsevier, vol. 43(4), pages 438-447, May.
    2. Chicurel, Ricardo, 1999. "A compromise solution for energy recovery in vehicle braking," Energy, Elsevier, vol. 24(12), pages 1029-1034.
    3. Regnier, Eva, 2007. "Oil and energy price volatility," Energy Economics, Elsevier, vol. 29(3), pages 405-427, May.
    4. Green II, Robert C. & Wang, Lingfeng & Alam, Mansoor, 2011. "The impact of plug-in hybrid electric vehicles on distribution networks: A review and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 544-553, January.
    5. Langevin, André & Mbaraga, Pontien & Campbell, James F., 1996. "Continuous approximation models in freight distribution: An overview," Transportation Research Part B: Methodological, Elsevier, vol. 30(3), pages 163-188, June.
    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. Ansari, Sina & Başdere, Mehmet & Li, Xiaopeng & Ouyang, Yanfeng & Smilowitz, Karen, 2018. "Advancements in continuous approximation models for logistics and transportation systems: 1996–2016," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 229-252.
    2. Paul Codani & Pierre-Louis Le Portz & Pierre Claverie & Marc Petit & Yannick Perez, 2016. "Coupling local renewable energy production with electric vehicle charging: a survey of the French case," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 16(1), pages 55-69.
    3. Bedoui, Rihab & Braiek, Sana & Guesmi, Khaled & Chevallier, Julien, 2019. "On the conditional dependence structure between oil, gold and USD exchange rates: Nested copula based GJR-GARCH model," Energy Economics, Elsevier, vol. 80(C), pages 876-889.
    4. Li, Yong & Yang, Jie & Song, Jian, 2015. "Electromagnetic effects model and design of energy systems for lithium batteries with gradient structure in sustainable energy electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 842-851.
    5. Nouf Alsharif & Sambit Bhattacharyya & Maurizio Intartaglia, 2016. "Economic Diversification in Resource Rich Countries: Uncovering the State of Knowledge," Working Paper Series 09816, Department of Economics, University of Sussex Business School.
    6. Syed Zulqadar Hassan & Tariq Kamal & Muhammad Hussnain Riaz & Syed Aamir Hussain Shah & Hina Gohar Ali & Muhammad Tanveer Riaz & Muhammad Sarmad & Amir Zahoor & Muhammad Abbas Khan & Julio Pascual Miq, 2019. "Intelligent Control of Wind-Assisted PHEVs Smart Charging Station," Energies, MDPI, vol. 12(5), pages 1-31, March.
    7. Jammazi, Rania, 2012. "Oil shock transmission to stock market returns: Wavelet-multivariate Markov switching GARCH approach," Energy, Elsevier, vol. 37(1), pages 430-454.
    8. 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.
    9. Eising, Jan Willem & van Onna, Tom & Alkemade, Floortje, 2014. "Towards smart grids: Identifying the risks that arise from the integration of energy and transport supply chains," Applied Energy, Elsevier, vol. 123(C), pages 448-455.
    10. Lei, Chao & Ouyang, Yanfeng, 2024. "Average minimum distance to visit a subset of random points in a compact region," Transportation Research Part B: Methodological, Elsevier, vol. 181(C).
    11. Liu, Wen & Hu, Weihao & Lund, Henrik & Chen, Zhe, 2013. "Electric vehicles and large-scale integration of wind power – The case of Inner Mongolia in China," Applied Energy, Elsevier, vol. 104(C), pages 445-456.
    12. Maria NEAGU & George DUDA, 2012. "Analysis of Transport Processes Management for a Romanian Food Market," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 21-30.
    13. Straubert, Christian, 2024. "A continuous approximation location-inventory model with exact inventory costs and nonlinear delivery lead time penalties," International Journal of Production Economics, Elsevier, vol. 268(C).
    14. Wan-Hsiu Cheng, 2008. "Overestimation in the Traditional GARCH Model During Jump Periods," Economics Bulletin, AccessEcon, vol. 3(68), pages 1-20.
    15. Luca Quadrifoglio & Randolph W. Hall & Maged M. Dessouky, 2006. "Performance and Design of Mobility Allowance Shuttle Transit Services: Bounds on the Maximum Longitudinal Velocity," Transportation Science, INFORMS, vol. 40(3), pages 351-363, August.
    16. Muñoz, M. Pilar & Dickey, David A., 2009. "Are electricity prices affected by the US dollar to Euro exchange rate? The Spanish case," Energy Economics, Elsevier, vol. 31(6), pages 857-866, November.
    17. Li, Hongqi & Zhang, Lu & Lv, Tan & Chang, Xinyu, 2016. "The two-echelon time-constrained vehicle routing problem in linehaul-delivery systems," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 169-188.
    18. Chevillon, Guillaume & Rifflart, Christine, 2009. "Physical market determinants of the price of crude oil and the market premium," Energy Economics, Elsevier, vol. 31(4), pages 537-549, July.
    19. Aviral K. Tiwari & Claudiu T. Albulescu & Rangan Gupta, 2016. "Time-frequency relationship between US output with commodity and asset prices," Applied Economics, Taylor & Francis Journals, vol. 48(3), pages 227-242, January.
    20. Sajjad Haider & Peter Schegner, 2020. "Heuristic Optimization of Overloading Due to Electric Vehicles in a Low Voltage Grid," Energies, MDPI, vol. 13(22), pages 1-19, November.

    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:transe:v:49:y:2013:i:1:p:8-23. 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/600244/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.