Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing
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DOI: 10.1016/j.apenergy.2019.04.157
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Cited by:
- Zhang, Haoran & Chen, Jinyu & Li, Wenjing & Song, Xuan & Shibasaki, Ryosuke, 2020. "Mobile phone GPS data in urban ride-sharing: An assessment method for emission reduction potential," Applied Energy, Elsevier, vol. 269(C).
- Qiang Xing & Zhong Chen & Ziqi Zhang & Xiao Xu & Tian Zhang & Xueliang Huang & Haiwei Wang, 2020. "Urban Electric Vehicle Fast-Charging Demand Forecasting Model Based on Data-Driven Approach and Human Decision-Making Behavior," Energies, MDPI, vol. 13(6), pages 1-32, March.
- Kwon, Kihan & Seo, Minsik & Min, Seungjae, 2020. "Efficient multi-objective optimization of gear ratios and motor torque distribution for electric vehicles with two-motor and two-speed powertrain system," Applied Energy, Elsevier, vol. 259(C).
- Cui, Yuepeng & Xu, Hao & Zou, Fumin & Chen, Zhihui & Gong, Kuangmin, 2021. "Optimization based method to develop representative driving cycle for real-world fuel consumption estimation," Energy, Elsevier, vol. 235(C).
- Yao, Jiwei & You, Fengqi, 2020. "Simulation-based optimization framework for economic operations of autonomous electric taxicab considering battery aging," Applied Energy, Elsevier, vol. 279(C).
- Yali Zheng & Xiaoyi He & Hewu Wang & Michael Wang & Shaojun Zhang & Dong Ma & Binggang Wang & Ye Wu, 2020. "Well-to-wheels greenhouse gas and air pollutant emissions from battery electric vehicles in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(3), pages 355-370, March.
- Cha, Kyoung-Soo & Kim, Dong-Min & Jung, Young-Hoon & Lim, Myung-Seop, 2020. "Wound field synchronous motor with hybrid circuit for neighborhood electric vehicle traction improving fuel economy," Applied Energy, Elsevier, vol. 263(C).
- Zhang, Jin & Wang, Zhenpo & Liu, Peng & Zhang, Zhaosheng, 2020. "Energy consumption analysis and prediction of electric vehicles based on real-world driving data," Applied Energy, Elsevier, vol. 275(C).
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Keywords
Ride-hailing; Urban mobility; GPS trajectories; Electrification; Machine learning; Big data;All these keywords.
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