Social media based transportation research: the state of the work and the networking

@article{Lv2017SocialMB,
  title={Social media based transportation research: the state of the work and the networking},
  author={Yisheng Lv and Yuanyuan Chen and Xiqiao Zhang and Yanjie Duan and Naiqiang Li Li},
  journal={IEEE/CAA Journal of Automatica Sinica},
  year={2017},
  volume={4},
  pages={19-26}
}
Recently, there has been an increased interest in the use of social media data as important traffic information sources. In this paper, we review social media based transportation research with social network analysis methods.We summarize main research topics in this field, and report collaboration patterns at levels of researchers, institutions, and countries, respectively. Finally, some future research directions are identified. 
Highly Cited
This paper has 18 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

A Bibliographic and Coauthorship Analysis of IEEE T-ITS Literature Between 2014 and 2016

IEEE Transactions on Intelligent Transportation Systems • 2018
View 1 Excerpt

Connectivity-Based Accessibility for Public Bicycle Sharing Systems

IEEE Transactions on Automation Science and Engineering • 2018
View 1 Excerpt

Retention analysis based on a logistic regression model: A case study

2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC) • 2018

Exploring crowdsourcing information to predict traffic-related impacts

2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) • 2017
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 44 references

Web-Based Traffic Sentiment Analysis: Methods and Applications

IEEE Transactions on Intelligent Transportation Systems • 2014
View 15 Excerpts
Highly Influenced

Civil Transportation Event Extraction from Chinese Microblog

2013 International Conference on Cloud Computing and Big Data • 2013
View 8 Excerpts
Highly Influenced

Using Web data to enhance traffic situation awareness

17th International IEEE Conference on Intelligent Transportation Systems (ITSC) • 2014
View 6 Excerpts
Highly Influenced

Extracting traffic information from massive micro-blog messages

H. C. Zhang, F. Lu, J. Chen
J. Imag. Graph., vol. 18, no. 1, pp. 123−129, Jan. 2013. • 2013
View 4 Excerpts
Highly Influenced

A Kind of Novel ITS Based on Space-Air-Ground Big-Data

IEEE Intelligent Transportation Systems Magazine • 2016
View 1 Excerpt

Crowdsourcing in ITS: The State of the Work and the Networking

IEEE Transactions on Intelligent Transportation Systems • 2016
View 1 Excerpt

A pattern matching method for extracting road traffic information from internet texts

P. Y. Qiu, H. C. Zhang, F. Lu
J. Geo-Inform. Sci., vol. 17, no. 4, pp. 416−422, Apr. 2015. • 2015

Enhancing traffic incident detection by using spatial point pattern analysis on social media

S. Zhang, J. J. Tang, H. Wang, Y. H. Wang
Transport. Res. Record: J. Transport. Res. Board, no. 2528, pp. 69−77, 2015. • 2015
View 2 Excerpts

Similar Papers

Loading similar papers…