Public bicycle rental problem based on large data analysis
- DOI
- 10.2991/icmmcce-17.2017.19How to use a DOI?
- Keywords
- large data analysis; Public bicycle rental; Optimal rent scheme
- Abstract
As a low carbon, environmental protection, energy saving and healthy travel mode, public bicycles are being popularized and popularized in many cities all over the country. In the public bicycle service system, the location of the bicycle rental and the allocation of the number of bicycles, locks, and bicycles in each site have important influence on the operation efficiency and the satisfaction of the users. Taking the public bicycle rental in Hangzhou as an example, the newly introduced free bicycle system has been discussed in this paper, which can solve the rental scheme problem from the car rental perspective, and bicycle distribution considerations problem from the administrative perspective.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yuxin Zhao AU - Yuan Hu PY - 2017/09 DA - 2017/09 TI - Public bicycle rental problem based on large data analysis BT - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017) PB - Atlantis Press SP - 89 EP - 93 SN - 2352-5401 UR - https://doi.org/10.2991/icmmcce-17.2017.19 DO - 10.2991/icmmcce-17.2017.19 ID - Zhao2017/09 ER -