Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)

Research on Effectiveness of Ride-sharing Service in China Based on PEST Analysis

Authors
Ruixue Guo, Zhili Liu, Jing Cai
Corresponding Author
Ruixue Guo
Available Online August 2016.
DOI
10.2991/icpit-16.2016.16How to use a DOI?
Keywords
sharing economy, ride-sharing service, PEST analysis, information technology, effectiveness, traffic, Internets of Vehicle
Abstract

Currently, sharing economy has penetrated into all fields in China, among which ride-sharing has demonstrated a leading role and has greatly changed the traffic mode. We briefly describe the definition, development courses, and the typical forms of China's ride-sharing in the beginning. Secondly, we use PEST analysis to understand the macro environment of ride-sharing in China in aspects of politics, economics, society, and technology, then numerical effectiveness was discussed based on PEST analysis. Finally several suggestions were proposed to promote informationization of ride-sharing service in China.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)
Series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
10.2991/icpit-16.2016.16
ISSN
2352-538X
DOI
10.2991/icpit-16.2016.16How to use a DOI?
Copyright
© 2016, 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  - Ruixue Guo
AU  - Zhili Liu
AU  - Jing Cai
PY  - 2016/08
DA  - 2016/08
TI  - Research on Effectiveness of Ride-sharing Service in China Based on PEST Analysis
BT  - Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)
PB  - Atlantis Press
SP  - 100
EP  - 105
SN  - 2352-538X
UR  - https://doi.org/10.2991/icpit-16.2016.16
DO  - 10.2991/icpit-16.2016.16
ID  - Guo2016/08
ER  -