IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v62y2017icp187-194.html
   My bibliography  Save this article

Eco-driving training and fuel consumption: Impact, heterogeneity and sustainability

Author

Listed:
  • Barla, Philippe
  • Gilbert-Gonthier, Mathieu
  • Lopez Castro, Marco Antonio
  • Miranda-Moreno, Luis

Abstract

In this paper, we assess the impact of an eco-driving training session on fuel consumption using panel data. A random coefficient model is estimated to measure the effect of the course over a ten-month period, controlling for confounding factors and individual heterogeneity. We find that eco-driving training induced average city and highway fuel consumption reductions of 4.6% and 2.9% respectively. The effects are highly heterogeneous between individuals, with standard deviations of about 5%. Drivers' socio-demographic characteristics are not helpful to explain these discrepancies but we find that drivers of vehicles with manual transmissions achieve significantly larger reductions: 10% on city roads and 8% on highways. Finally, we show that reductions faded gradually after the course. City reductions go from 4.6% to 2.5% within ten months. Highway fuel use decreases average 3.5% in the first ten weeks after the course but become statistically insignificant after about thirty weeks. Overall, the average impact translates into an annual fuel saving cost of about 60$ per driver.

Suggested Citation

  • Barla, Philippe & Gilbert-Gonthier, Mathieu & Lopez Castro, Marco Antonio & Miranda-Moreno, Luis, 2017. "Eco-driving training and fuel consumption: Impact, heterogeneity and sustainability," Energy Economics, Elsevier, vol. 62(C), pages 187-194.
    • Handle: RePEc:eee:eneeco:v:62:y:2017:i:c:p:187-194
    DOI: 10.1016/j.eneco.2016.12.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988317300051
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2016.12.018?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Saboohi, Y. & Farzaneh, H., 2009. "Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption," Applied Energy, Elsevier, vol. 86(10), pages 1925-1932, October.
    2. repec:cdl:uctcwp:qt9z18z7xq is not listed on IDEAS
    3. Barkenbus, Jack N., 2010. "Eco-driving: An overlooked climate change initiative," Energy Policy, Elsevier, vol. 38(2), pages 762-769, February.
    4. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    5. Santos, Georgina & Behrendt, Hannah & Teytelboym, Alexander, 2010. "Part II: Policy instruments for sustainable road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 46-91.
    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. repec:ers:journl:v:xxiv:y:2021:i:2b:p:850-859 is not listed on IDEAS
    2. Huang, Yuhan & Ng, Elvin C.Y. & Zhou, John L. & Surawski, Nic C. & Chan, Edward F.C. & Hong, Guang, 2018. "Eco-driving technology for sustainable road transport: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 596-609.
    3. Nurul Hidayah Muslim & Ali Keyvanfar & Arezou Shafaghat & Mu’azu Mohammed Abdullahi & Majid Khorami, 2018. "Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission," Sustainability, MDPI, vol. 10(2), pages 1-30, January.
    4. Marek Fertsch & Adrianna Tobola, 2021. "Intelligent Transport Solutions of Logistics 4.0 in the Context of Changes in Driving Style: A Systematic Literature Review," European Research Studies Journal, European Research Studies Journal, vol. 0(2 - Part ), pages 850-859.
    5. Ran Tu & Junshi Xu & Tiezhu Li & Haibo Chen, 2022. "Effective and Acceptable Eco-Driving Guidance for Human-Driving Vehicles: A Review," IJERPH, MDPI, vol. 19(12), pages 1-14, June.
    6. Oliwia Pietrzak & Krystian Pietrzak, 2021. "The Economic Effects of Electromobility in Sustainable Urban Public Transport," Energies, MDPI, vol. 14(4), pages 1-28, February.
    7. Bixuan Sun & Jeffrey Apland, 2019. "Operational planning of public transit with economic and environmental goals: application to the Minneapolis–St. Paul bus system," Public Transport, Springer, vol. 11(2), pages 237-267, August.
    8. Yang Wang & Alessandra Boggio-Marzet, 2018. "Evaluation of Eco-Driving Training for Fuel Efficiency and Emissions Reduction According to Road Type," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    9. Liu, Feiqi & Zhao, Fuquan & Liu, Zongwei & Hao, Han, 2019. "Can autonomous vehicle reduce greenhouse gas emissions? A country-level evaluation," Energy Policy, Elsevier, vol. 132(C), pages 462-473.
    10. Roberto Garcia & Gabriel Diaz & Xabiel G. Pañeda & Alejandro G. Tuero & Laura Pozueco & David Melendi & Jose A. Sanchez & Victor Corcoba & Alejandro G. Pañeda, 2017. "Impact of Efficient Driving in Professional Bus Fleets," Energies, MDPI, vol. 10(12), pages 1-25, December.

    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. Carvalho, Irene & Baier, Thomas & Simoes, Ricardo & Silva, Arlindo, 2012. "Reducing fuel consumption through modular vehicle architectures," Applied Energy, Elsevier, vol. 93(C), pages 556-563.
    2. Grant-Muller, Susan & Usher, Mark, 2014. "Intelligent Transport Systems: The propensity for environmental and economic benefits," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 149-166.
    3. Alam, Md. Saniul & McNabola, Aonghus, 2014. "A critical review and assessment of Eco-Driving policy & technology: Benefits & limitations," Transport Policy, Elsevier, vol. 35(C), pages 42-49.
    4. Schall, Dominik L. & Mohnen, Alwine, 2017. "Incentivizing energy-efficient behavior at work: An empirical investigation using a natural field experiment on eco-driving," Applied Energy, Elsevier, vol. 185(P2), pages 1757-1768.
    5. Hsu, Chia-Yu & Yang, Chin-Sheng & Yu, Liang-Chih & Lin, Chi-Fang & Yao, Hsiu-Hsen & Chen, Duan-Yu & Robert Lai, K. & Chang, Pei-Chann, 2015. "Development of a cloud-based service framework for energy conservation in a sustainable intelligent transportation system," International Journal of Production Economics, Elsevier, vol. 164(C), pages 454-461.
    6. Schall, Dominik L. & Wolf, Menas & Mohnen, Alwine, 2016. "Do effects of theoretical training and rewards for energy-efficient behavior persist over time and interact? A natural field experiment on eco-driving in a company fleet," Energy Policy, Elsevier, vol. 97(C), pages 291-300.
    7. Sharunina, A., 2016. "Where Do Public Workers Live Well? Public-Private Wage Gaps in Russia's Regions," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 105-128.
    8. Stephen Billings & Thomas Thibodeau, 2011. "Intrametropolitan Decentralization: Is Government Structure Capitalized in Residential Property Values?," The Journal of Real Estate Finance and Economics, Springer, vol. 42(4), pages 416-450, May.
    9. Nick Drydakis, 2008. "Integrated Roma Earnings: A Multivariate Analysis for the Discrimination Hypothesis in Greece," Working Papers 0829, University of Crete, Department of Economics.
    10. Allan Beltrán & David Maddison & Robert J. R. Elliott, 2018. "Assessing the Economic Benefits of Flood Defenses: A Repeat‐Sales Approach," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2340-2367, November.
    11. Tapsuwan, Sorada & Polyakov, Maksym & Bark, Rosalind & Nolan, Martin, 2015. "Valuing the Barmah–Millewa Forest and in stream river flows: A spatial heteroskedasticity and autocorrelation consistent (SHAC) approach," Ecological Economics, Elsevier, vol. 110(C), pages 98-105.
    12. Santos, Alberto & Maia, Pedro & Jacob, Rodrigo & Wei, Huang & Callegari, Camila & Oliveira Fiorini, Ana Carolina & Schaeffer, Roberto & Szklo, Alexandre, 2024. "Road conditions and driving patterns on fuel usage: Lessons from an emerging economy," Energy, Elsevier, vol. 295(C).
    13. Wesley Nimon & John Beghin, 1999. "Are Eco-Labels Valuable? Evidence From the Apparel Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 801-811.
    14. Dietrich, Antje-Mareike, 2016. "Governmental platform intermediation to promote alternative fuel vehicles," Economics Department Working Paper Series 16, Technische Universität Braunschweig, Economics Department.
    15. Mao, Luke Lunhua & Zhang, James J. & Connaughton, Daniel P., 2015. "Sports gambling as consumption: Evidence from demand for sports lottery," Sport Management Review, Elsevier, vol. 18(3), pages 436-447.
    16. Hakim Hammadou & Claire Papaix, 2015. "Policy packages for modal shift and CO2 reduction in Lille, France," Working Papers 1501, Chaire Economie du climat.
    17. Chica-Olmo, Jorge & Cano-Guervos, Rafael, 2020. "Does my house have a premium or discount in relation to my neighbors? A regression-kriging approach," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    18. Theodore Koutmeridis, 2013. "The Market for "Rough Diamonds": Information, Finance and Wage Inequality," CDMA Working Paper Series 201307, Centre for Dynamic Macroeconomic Analysis, revised 14 Oct 2013.
    19. Ahlfeldt, Gabriel M. & Wendlan, Nicolai, 2008. "Spatial Determinants of CBD Emergence: A Micro-level Case Study on Berlin∗," MPRA Paper 11572, University Library of Munich, Germany.
    20. Altay Mussurov & Dena Sholk & G. Reza Arabsheibani, 2019. "Informal employment in Kazakhstan: a blessing in disguise?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 267-284, June.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

    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:eee:eneeco:v:62:y:2017:i:c:p:187-194. 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/locate/eneco .

    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.