Investigating the Potential of Ridesharing to Reduce Vehicle Emissions
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Cited by:
- Qizhao Peng & Weiwei Wang & Xiaoyan Yang & Yi Wang & Jian Chen, 2023. "Research on Affective Interaction in Mini Public Transport Based on IPA-FMEA," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
- 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).
- Soora Rasouli & Harry Timmermans & Dujuan Yang, 2017. "Three Tales about Limits to Smart Cities Solutions," Urban Planning, Cogitatio Press, vol. 2(2), pages 1-3.
- Jenn, Alan, 2019. "Emissions Benefits of Electric Vehicles in Uber and Lyft Services," Institute of Transportation Studies, Working Paper Series qt15s1h1kn, Institute of Transportation Studies, UC Davis.
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Keywords
emission reductions; ridesharing; spatiotemporal data mining; trajectory clustering; trajectory mining;All these keywords.
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