Discover the SciOpen Platform and Achieve Your Research Goals with Ease.
Search articles, authors, keywords, DOl and etc.
An, K., 2020. Battery electric bus infrastructure planning under demand uncertainty. Transport. Res. C Emerg. Technol. 111, 572–587.
Bie, Y., Ji, J., Wang, X., Qu, X., 2021. Optimization of electric bus scheduling considering stochastic volatilities in trip travel time and energy consumption. Comput. Aided Civ. Infrastruct. Eng. 36, 1530–1548.
He, Y., Xing, Y., Zeng, X., Ji, Y., Hou, H., Zhang, Y., et al., 2022. Factors influencing carbon emissions from China's electricity industry: analysis using the combination of LMDI and K-means clustering. Environ. Impact Assess. Rev. 93, 106724.
Ji, J., Bie, Y., Zeng, Z., Wang, L., 2022. Trip energy consumption estimation for electric buses. Commun Transp Res. 2, 100069.
Wang, S., Li, Y., Chen, A., Zhuge, C., 2023. Electrification of a citywide bus network: a data-driven micro-simulation approach. Transport. Res. Transport Environ. 116, 103644.
Zeng, Z., Qu, X., 2023. What’s next for battery-electric bus charging systems. Commun Transp Res. 3, 100094.
Zhang, Z., Ye, B., Wang, S., Ma, Y., 2024. Analysis and estimation of energy consumption of electric buses using real-world data. Transport. Res. Transport Environ. 126, 104017.
Zhou, Y., Ong, G.P., Meng, Q., Cui, H., 2023. Electric bus charging facility planning with uncertainties: model formulation and algorithm design. Transport. Res. C Emerg. Technol. 150, 104108.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).