Use of Geotagged Social Media in Urban Settings: Empirical Evidence on Its Potential from Twitter

Social media can be valuable in transportation research, as data collected contain information for mobility patterns and behavioural characteristics that could not be previously obtained. This paper introduces a methodology for the collection and analysis of data from Social Media, for transportation-related uses, first in a generic methodological framework and then particularly for Twitter. The data collection methodology is applied using Twitter and some initial descriptive statistics are presented concerning the characteristics of users and their posts. Results from spatial analysis is presented, conducted using data from the geotagged service of Twitter. The results of the analysis present trends on the use of Twitter for leisure activities and a correlation between high income areas and number of tweets posted. Finally, the potential of using data from Social Media is discussed with the issues that arise.

• Record URL:
  https://doi.org/10.1109/ITSC.2015.44
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9781467365956
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Chaniotakis, Emmanouil
  • Antoniou, Constantinos
• Conference:
  • 18th International IEEE Conference on Intelligent Transportation Systems (ITSC)
  • Location: Canary Islands , Spain
  • Date: 2015-9-15 to 2015-9-18
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 214-219
• Monograph Title: 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015)

Subject/Index Terms

• TRT Terms: Data analysis; Data collection; Methodology; Social media; Spatial analysis
• Identifier Terms: Twitter
• Subject Areas: Data and Information Technology; Highways;

Filing Info

• Accession Number: 01602815
• Record Type: Publication
• ISBN: 9781467365956
• Files: TRIS
• Created Date: May 2 2016 3:18PM