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

Leqi Zhang, Guohua Song, Zeyu Zhang, Zhiqiang Zhai, Junshi Xu, Pengfei Fan and Yan Ding ()
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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

Sustainability, 2025, vol. 17, issue 9, 1-21

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.

Keywords: driving behavior; eco-driving; method applicability; vehicle-specific power; baseline of eco-driving (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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