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

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  • 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
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    References listed on IDEAS

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    Cited by:

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    2. 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.
    3. 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.
    4. Zhuang, Weichao & Li, Jinhui & Ju, Fei & Li, Bingbing & Liu, Haoji & Yin, Guodong, 2024. "Dual-objective eco-routing strategy for vehicles with different powertrain types," Energy, Elsevier, vol. 293(C).
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Yuan, Weichang & Frey, H. Christopher, 2020. "Potential for metro rail energy savings and emissions reduction via eco-driving," Applied Energy, Elsevier, vol. 268(C).
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    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.
    21. 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.

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