Dynamic cluster-based over-demand prediction in bike sharing systems-Reference-Cited by-同舟云学术

Dynamic cluster-based over-demand prediction in bike sharing systems

Published:2016-09-12 Issue: Volume: Page:
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Container-title:Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
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Author:

Chen Longbiao¹,Zhang Daqing²,Wang Leye³,Yang Dingqi⁴,Ma Xiaojuan⁵,Li Shijian⁶,Wu Zhaohui⁶,Pan Gang⁶,Nguyen Thi-Mai-Trang⁷,Jakubowicz Jérémie³

Affiliation:

1. Zhejiang University, China and CNRS SAMOVAR, France and Sorbonne Universites, UPMC Univ Paris 06, UMR, LIP6, 4 Place Jussieu, Paris, France

2. CNRS SAMOVAR, France and Peking University, China

3. CNRS SAMOVAR, France

4. University of Fribourg, Switzerland

5. Hong Kong University of Science and Technology, Hong Kong

6. Zhejiang University, China

7. Sorbonne Universites, UPMC Univ Paris 06, UMR, LIP6, 4 Place Jussieu, Paris, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2971648.2971652

Reference60 articles.

1. Bikesharing in Europe, the Americas, and Asia

2. A. Singla M. Santoni G. Bartók P. Mukerji M. Meenen and A. Krause "Incentivizing Users for Balancing Bike Sharing Systems " in Proc AAAI. A. Singla M. Santoni G. Bartók P. Mukerji M. Meenen and A. Krause "Incentivizing Users for Balancing Bike Sharing Systems " in Proc AAAI.

3. Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago

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