Mobile phone GPS data in urban ride-sharing: An assessment method for emission reduction potential
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DOI: 10.1016/j.apenergy.2020.115038
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- Chen, Jinyu & Zhang, Qiong & Xu, Ning & Li, Wenjing & Yao, Yuhao & Li, Peiran & Yu, Qing & Wen, Chuang & Song, Xuan & Shibasaki, Ryosuke & Zhang, Haoran, 2022. "Roadmap to hydrogen society of Tokyo: Locating priority of hydrogen facilities based on multiple big data fusion," Applied Energy, Elsevier, vol. 313(C).
- Wang, Jianda & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Decoupling and decomposition analysis of investments and CO2 emissions in information and communication technology sector," Applied Energy, Elsevier, vol. 302(C).
- Schulte-Fischedick, Marta & Shan, Yuli & Hubacek, Klaus, 2021. "Implications of COVID-19 lockdowns on surface passenger mobility and related CO2 emission changes in Europe," Applied Energy, Elsevier, vol. 300(C).
- Yu, Qing & Li, Weifeng & Zhang, Haoran & Chen, Jinyu, 2022. "GPS data in taxi-sharing system: Analysis of potential demand and assessment of fuel consumption based on routing probability model," Applied Energy, Elsevier, vol. 314(C).
- Junkai Zhang & Jun Wang & Haoyu Zang & Ning Ma & Martin Skitmore & Ziyi Qu & Greg Skulmoski & Jianli Chen, 2024. "The Application of Machine Learning and Deep Learning in Intelligent Transportation: A Scientometric Analysis and Qualitative Review of Research Trends," Sustainability, MDPI, vol. 16(14), pages 1-34, July.
- Liu, Jianmiao & Li, Junyi & Chen, Yong & Lian, Song & Zeng, Jiaqi & Geng, Maosi & Zheng, Sijing & Dong, Yinan & He, Yan & Huang, Pei & Zhao, Zhijian & Yan, Xiaoyu & Hu, Qinru & Wang, Lei & Yang, Di & , 2023. "Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management," Applied Energy, Elsevier, vol. 331(C).
- Lei Wang & Wenxiang Li & Jinxian Weng & Dong Zhang & Wanjing Ma, 2023. "Do low-carbon rewards incentivize people to ridesplitting? Evidence from structural analysis," Transportation, Springer, vol. 50(5), pages 2077-2109, October.
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Keywords
Ride-sharing; Deep learning; Users matching; Potential emission reduction;All these keywords.
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