IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v35y2014icp42-49.html
   My bibliography  Save this article

A critical review and assessment of Eco-Driving policy & technology: Benefits & limitations

Author

Listed:
  • Alam, Md. Saniul
  • McNabola, Aonghus

Abstract

Eco-Driving has received significant attention in literature and among policy makers for its claimed benefits in reducing CO2 emissions and fuel consumption. Many investigations of Eco-Driving policy have reported potential reductions in fuel consumption and CO2 emissions ranging from 5% to 40% across various jurisdictions and initiatives. This paper comprises a review and assessment of Eco-Driving policy and its claimed benefits. The possible negative impacts of Eco-Driving, often neglected in previous research, are also highlighted. These include policy limitations which may result in increases in accident risk, and CO2 emissions at traffic network level. In addition, the limitations of certain Eco-Driving technology are also highlighted. The results of this review and assessment reveal that Eco-Driving Policy has the potential to reduce CO2 emission and fuel consumption in certain circumstances, but in congested city centre traffic many conflicting views exist in the literature, resulting in some doubt over the effectiveness of the policy in such circumstances.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:trapol:v:35:y:2014:i:c:p:42-49
    DOI: 10.1016/j.tranpol.2014.05.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X14001152
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2014.05.016?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. 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. Barkenbus, Jack N., 2010. "Eco-driving: An overlooked climate change initiative," Energy Policy, Elsevier, vol. 38(2), pages 762-769, February.
    3. Kazunori Kojima & Lisa Ryan, 2010. "Transport Energy Efficiency: Implementation of IEA Recommendations since 2009 and Next Steps," IEA Energy Papers 2010/9, OECD Publishing.
    4. Sivak, Michael & Schoettle, Brandon, 2012. "Eco-driving: Strategic, tactical, and operational decisions of the driver that influence vehicle fuel economy," Transport Policy, Elsevier, vol. 22(C), pages 96-99.
    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. Vaezipour, Atiyeh & Rakotonirainy, Andry & Haworth, Narelle & Delhomme, Patricia, 2018. "A simulator evaluation of in-vehicle human machine interfaces for eco-safe driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 696-713.
    2. Vaezipour, Atiyeh & Rakotonirainy, Andry & Haworth, Narelle & Delhomme, Patricia, 2017. "Enhancing eco-safe driving behaviour through the use of in-vehicle human-machine interface: A qualitative study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 247-263.
    3. Ali Keyvanfar & Arezou Shafaghat & Nasiru Zakari Muhammad & M. Salim Ferwati, 2018. "Driving Behaviour and Sustainable Mobility—Policies and Approaches Revisited," Sustainability, MDPI, vol. 10(4), pages 1-27, April.
    4. Xu, Yanzhi & Li, Hanyan & Liu, Haobing & Rodgers, Michael O. & Guensler, Randall L., 2017. "Eco-driving for transit: An effective strategy to conserve fuel and emissions," Applied Energy, Elsevier, vol. 194(C), pages 784-797.
    5. Sanguinetti, Angela, 2018. "Onboard Feedback to Promote Eco-Driving: Average Impact and Important Features," Institute of Transportation Studies, Working Paper Series qt99m5j3q7, Institute of Transportation Studies, UC Davis.
    6. 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.
    7. Yuan, Weichang & Frey, H. Christopher, 2020. "Potential for metro rail energy savings and emissions reduction via eco-driving," Applied Energy, Elsevier, vol. 268(C).
    8. 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.
    9. Akkarat Poolkrajang, 2023. "An Analysis of Effect on Energy Saving of Trucks in Transport and Logistics Business," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 236-241, September.
    10. Wang, Yi & Szeto, W.Y. & Han, Ke & Friesz, Terry L., 2018. "Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 370-394.
    11. Watling, David P. & Connors, Richard D. & Chen, Haibo, 2023. "Fuel-optimal truck path and speed profile in dynamic conditions: An exact algorithm," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1456-1472.
    12. Sanguinetti, Angela & Queen, Ella & Yee, Christopher & Akanesuvan, Kantapon, 2020. "Average impact and important features of onboard eco-driving feedback: A meta-analysis," Institute of Transportation Studies, Working Paper Series qt9hm406d5, Institute of Transportation Studies, UC Davis.
    13. Lin, Rui & Wang, Peggy, 2022. "Intention to perform eco-driving and acceptance of eco-driving system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 444-459.
    14. Liu, Yonggang & Chen, Qianyou & Li, Jie & Zhang, Yuanjian & Chen, Zheng & Lei, Zhenzhen, 2023. "Collaborated eco-routing optimization for continuous traffic flow based on energy consumption difference of multiple vehicles," Energy, Elsevier, vol. 274(C).
    15. 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.
    16. Cavallaro, Federico & Giaretta, Federico & Nocera, Silvio, 2018. "The potential of road pricing schemes to reduce carbon emissions," Transport Policy, Elsevier, vol. 67(C), pages 85-92.
    17. Alejandro G. Tuero & Laura Pozueco & Roberto García & Gabriel Díaz & Xabiel G. Pañeda & David Melendi & Abel Rionda & David Martínez, 2017. "Economic Impact of the Use of Inertia in an Urban Bus Company," Energies, MDPI, vol. 10(7), pages 1-17, July.
    18. Giest, Sarah & Mukherjee, Ishani, 2018. "Behavioral instruments in renewable energy and the role of big data: A policy perspective," Energy Policy, Elsevier, vol. 123(C), pages 360-366.
    19. Panagiotis Fafoutellis & Eleni G. Mantouka & Eleni I. Vlahogianni, 2020. "Eco-Driving and Its Impacts on Fuel Efficiency: An Overview of Technologies and Data-Driven Methods," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
    20. Juan Francisco Coloma & Marta García & Gonzalo Fernández & Andrés Monzón, 2021. "Environmental Effects of Eco-Driving on Courier Delivery," Sustainability, MDPI, vol. 13(3), pages 1-21, January.

    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. Wojciech Adamski & Krzysztof Brzozowski & Jacek Nowakowski & Tomasz Praszkiewicz & Tomasz Knefel, 2021. "Excess Fuel Consumption Due to Selection of a Lower Than Optimal Gear—Case Study Based on Data Obtained in Real Traffic Conditions," Energies, MDPI, vol. 14(23), pages 1-15, November.
    2. Alejandro G. Tuero & Laura Pozueco & Roberto García & Gabriel Díaz & Xabiel G. Pañeda & David Melendi & Abel Rionda & David Martínez, 2017. "Economic Impact of the Use of Inertia in an Urban Bus Company," Energies, MDPI, vol. 10(7), pages 1-17, July.
    3. Strömberg, Helena & Karlsson, I.C. MariAnne & Rexfelt, Oskar, 2015. "Eco-driving: Drivers’ understanding of the concept and implications for future interventions," Transport Policy, Elsevier, vol. 39(C), pages 48-54.
    4. 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.
    5. 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.
    6. 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.
    7. Lin, Rui & Wang, Peggy, 2022. "Intention to perform eco-driving and acceptance of eco-driving system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 444-459.
    8. 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.
    9. Juan Francisco Coloma & Marta García & Yang Wang & Andrés Monzón, 2017. "Green Eco-Driving Effects in Non-Congested Cities," Sustainability, MDPI, vol. 10(1), pages 1-16, December.
    10. Vaezipour, Atiyeh & Rakotonirainy, Andry & Haworth, Narelle & Delhomme, Patricia, 2018. "A simulator evaluation of in-vehicle human machine interfaces for eco-safe driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 696-713.
    11. Dragan Lazarević & Libor Švadlenka & Valentina Radojičić & Momčilo Dobrodolac, 2020. "New Express Delivery Service and Its Impact on CO 2 Emissions," Sustainability, MDPI, vol. 12(2), pages 1-29, January.
    12. Yiwen Zhou & Fengxiang Guo & Simin Wu & Wenyao He & Xuefei Xiong & Zheng Chen & Dingan Ni, 2022. "Safety and Economic Evaluations of Electric Public Buses Based on Driving Behavior," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    13. 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.
    14. 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.
    15. Sanguinetti, Angela & Queen, Ella & Yee, Christopher & Akanesuvan, Kantapon, 2020. "Average impact and important features of onboard eco-driving feedback: A meta-analysis," Institute of Transportation Studies, Working Paper Series qt9hm406d5, Institute of Transportation Studies, UC Davis.
    16. Ahmed, Sumayyah & Sanguinetti, Angela, 2015. "OBDEnergy: Making Metrics Meaningful in Eco-driving Feedback," Institute of Transportation Studies, Working Paper Series qt0x73t2jw, Institute of Transportation Studies, UC Davis.
    17. Pietro Stabile & Federico Ballo & Giorgio Previati & Giampiero Mastinu & Massimiliano Gobbi, 2023. "Eco-Driving Strategy Implementation for Ultra-Efficient Lightweight Electric Vehicles in Realistic Driving Scenarios," Energies, MDPI, vol. 16(3), pages 1-19, January.
    18. Nan, Sirui & Tu, Ran & Li, Tiezhu & Sun, Jian & Chen, Haibo, 2022. "From driving behavior to energy consumption: A novel method to predict the energy consumption of electric bus," Energy, Elsevier, vol. 261(PA).
    19. Yuan, Weichang & Frey, H. Christopher, 2020. "Potential for metro rail energy savings and emissions reduction via eco-driving," Applied Energy, Elsevier, vol. 268(C).
    20. 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.

    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:trapol:v:35:y:2014:i:c:p:42-49. 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/30473/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.