A Descriptive Statistic Analysis Based on the Operation of Public Bicycle in Shenzhen

DOI

10.2991/icmess-17.2017.42How to use a DOI?

Keywords

Statistics; Public bicycle; Regression analysis; Running law

Abstract

Currently, traveling by bike has been widely accepted by the public. However, the public bicycle system is in need of an optimization scheme owing to its poor operating efficiency. In this paper, real operating data of Shenzhen city public bicycle system during July 2016 are used as the data bases, all of which were analyzed by EXCEL, SPSS and RStudio. After the analysis, the following operating rules are found: there are morning and evening peaks in bike borrowing and return; change of bike lending and return flow during same period or at same outlet type of valid date is slight; the public bike flow at varied outlet types differ in workdays and holiday; large number of users lend bike once a week in workdays, while some users lend bike three or more times a week. To improve the demand of public bicycle, frequent users should be delved deeper. The research results may provide a theoretical basis and ideas for the operation optimization of public bicycle system.

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 Yang
AU  - Xinyi Zeng
AU  - Ling Lv
AU  - Yali Peng
PY  - 2017/06
DA  - 2017/06
TI  - A Descriptive Statistic Analysis Based on the Operation of Public Bicycle in Shenzhen
BT  - Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)
PB  - Atlantis Press
SP  - 176
EP  - 180
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-17.2017.42
DO  - 10.2991/icmess-17.2017.42
ID  - Yang2017/06
ER  -