Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach

Author:

Ding Hongliang,Lu Yuhuan,Sze N.N.,Li Haojie

Funder

Research Grants Council, University Grants Committee

Hong Kong Polytechnic University

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering,Business, Management and Accounting (miscellaneous),Aerospace Engineering

Reference94 articles.

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3. Bahdanau, D., Cho, K., Bengio, Y., 2014. Neural machine translation by jointly learning to align and translate. arXiv:1409.0473.

4. Bao, J., He, T., Ruan, S., Li, Y., Zheng, Y., 2017. Planning bike lanes based on sharing-bikes' trajectories. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Canada, 1377-1386.

5. Factors influencing the choice of shared bicycles and shared electric bikes in Beijing;Campbell;Transp. Res. Part C Emerg. Technol.,2016

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