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/).

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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  -