The Efficacy of Mining Social Media Data for Transport Policy and Practice
The overarching question of whether social media (SM) can produce information of sufficient quality to meet the needs of the transport system planners and operators, policy makers and travellers forms the core of this paper. Three sub themes are investigated, focusing primarily on SM text data and the perspective of transport authorities. A typology of seven primary transport data needs, current data sources and SM sources illustrates advantages of SM data in particular contexts. Following an overview of the text mining process, a review of four main challenges this holds for the transport domain is given. These include issues concerning ontologies, sentiment analysis, location names and measuring accuracy. Finally a review of academic and soft literature has highlighted institutional issues in the use of SM concluding that potential uses of SM information have not yet been explored to their full value.
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Supplemental Notes:
- This paper was sponsored by TRB committee ABJ50 Information Systems and Technology.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Grant-Muller, Susan M
- Gal-Tzur, Ayelet
- Minkov, Einat
- Nocera, Silvio
- Kuflik, Tsvi
- Shoor, Itay
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Conference:
- Transportation Research Board 93rd Annual Meeting
- Location: Washington DC
- Date: 2014-1-12 to 2014-1-16
- Date: 2014
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 19p
- Monograph Title: TRB 93rd Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Data mining; Data quality; Social media; Transportation policy
- Subject Areas: Data and Information Technology; Highways; Policy; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01517573
- Record Type: Publication
- Report/Paper Numbers: 14-1716
- Files: TRIS, TRB, ATRI
- Created Date: Mar 10 2014 9:24AM