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Can Eco-Driving Evaluation Cross Cities? Data Localization and Behavioral Heterogeneity from Beijing to Toronto

Author

Listed:
  • Leqi Zhang

    (Vehicle Emission Control Center, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Guohua Song

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China)

  • Zeyu Zhang

    (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong 310028, China)

  • Zhiqiang Zhai

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China)

  • Junshi Xu

    (Department of Civil & Mineral Engineering, University of Toronto, Toronto, ON M5S 1A1, Canada)

  • Pengfei Fan

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China)

  • Yan Ding

    (Vehicle Emission Control Center, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

Abstract

The framework of eco-driving evaluation relying on vehicle trajectory data is to quantify the disparities of the fuel consumption for individual driving behavior and to develop a baseline under various traffic conditions. The baseline represents the typical driving behavior in a city, and it is a pivotal parameter for eco-driving evaluation. The applicability of the evaluation method in different cities is overlooked, encompassing the suitability of parameters and the minimum data required. This study aims to investigate whether the evaluation baseline developed with sufficient data can be applied to a new city. The results reveal that the baseline developed in Beijing cannot be directly transferred to the eco-driving evaluation in Toronto due to the significantly more aggressive and competitive driving behavior exhibited by Toronto drivers. This study further examines the minimum data sample size necessary to develop a robust evaluation baseline and proposes a localized method to construct the evaluation system for eco-driving evaluation in different cities.

Suggested Citation

  • Leqi Zhang & Guohua Song & Zeyu Zhang & Zhiqiang Zhai & Junshi Xu & Pengfei Fan & Yan Ding, 2025. "Can Eco-Driving Evaluation Cross Cities? Data Localization and Behavioral Heterogeneity from Beijing to Toronto," Sustainability, MDPI, vol. 17(9), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:3957-:d:1644441
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    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. 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.
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