Chaniotakis, E;
Antoniou, C;
Pereira, F;
(2016)
Mapping Social Media for Transportation Studies.
IEEE Intelligent Systems
, 31
(6)
pp. 64-70.
10.1109/MIS.2016.98.
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Abstract
Social media has dominated the online lives of individuals and has created a research stream with potential applications in many scientific fields, including transportation. This article attempts to map the landscape of social media, focusing on transportation, by identifying the main streams of research in the pertinent literature and analyzing the taxonomy of the dominant social media in terms of functionalities fulfilled and data availability. Additionally, the authors present a strengths, weaknesses, opportunities, and threats (SWOT) analysis and examine the applicability of data collected from social media sources in a case study.
| Type: | Article |
|---|---|
| Title: | Mapping Social Media for Transportation Studies |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/MIS.2016.98 |
| Publisher version: | http://dx.doi.org/10.1109/MIS.2016.98 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Social network services, Facebook, Twitter, Blogs, Market research |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10090616 |
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