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Social Media for Government Services pp 325–366Cite as

Transport Policy: Social Media and User-Generated Content in a Changing Information Paradigm

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Abstract

Rapid and recent developments in social media networks are providing a vision amongst transport suppliers, governments and academia of ‘next-generation’ information channels. This chapter identifies the main requirements for a social media information harvesting methodology in the transport context and highlights the challenges involved. Three questions are addressed concerning (1) The ways in which social media data can be used alongside or potentially instead of current transport data sources, (2) The technical challenges in text mining social media that create difficulties in generating high quality data for the transport sector and finally, (3) Whether there are wider institutional barriers in harnessing the potential of social media data for the transport sector. The chapter demonstrates that information harvested from social media can complement, enrich (or even replace) traditional data collection. Whilst further research is needed to develop automatic or semi-automatic methodologies for harvesting and analysing transport-related social media information, new skills are also needed in the sector to maximise the benefits of this new information source.

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Notes

  1. 1.

    http://www.gartner.com/it-glossary/social-media/.

  2. 2.

    3/12/14 traveller complaint on late running bus service in South Africa. http://hellopeter.com/greyhound/complaints/ruined-our-holiday-1577792.

  3. 3.

    http://www.bikeforums.net/forum.php.

  4. 4.

    http://www.topix.com/forum/business/transportation.

  5. 5.

    27/4/14 a question in the Tel Aviv Forum within Tripadvisor asking about transport to national airport late at night http://www.tripadvisor.com/ShowTopic-g293984-i3332-k7406231-Getting_to_Ben_Gurion_middle_of_the_night-Tel_Aviv_Tel_Aviv_District.html.

  6. 6.

    http://www.facebook.com/groups/369684789781652/?fref=ts.

  7. 7.

    http://world.waze.com/?redirect=1.

  8. 8.

    http://tripplan.moovitapp.com/?selectCity=false.

  9. 9.

    https://twitter.com/.

  10. 10.

    http://www.tripadvisor.com/ShowTopic−g293974−i368−k6532611−Which_bus_goes_from_Ataturk_Airport_to_Bakirkoy−Istanbul.html.

  11. 11.

    https://twitter.com/Rideshare_USA/status/537044332667101184.

  12. 12.

    https://twitter.com/fabien_gandon/status/193355911643926529.

  13. 13.

    http://hellopeter.com/metrobus/complaints/rude-bus-driver-1563736.

  14. 14.

    Extracted from https://dev.twitter.com/streaming/reference/post/statuses/filter (Dec 2014).

  15. 15.

    http://geonames.usgs.gov/.

  16. 16.

    December 2014.

  17. 17.

    www.facebook.com and www.twitter.com.

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Authors and Affiliations

  1. Institute for Transport Studies, University of Leeds, 36–40 University Road, Leeds, LS2 9JT, UK

    S. M. Grant-Muller

  2. Department of Information Systems, University of Haifa, Haifa, Israel

    E. Minkov & T. Kuflik

  3. Department of Architecture and Arts, IUAV University of Venice, Dorsoduro 2206, I-30123, Venice, Italy

    S. Nocera

  4. Transportation Research Institute, Technion - Israel Institute of Technology, Technion City, Haifa, Israel

    A. Gal-Tzur

  5. Department of Computer Science, University of Haifa, Abba Khoushy Ave 199, Haifa, Israel

    I. Shoor

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Correspondence to S. M. Grant-Muller .

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  1. CSIRO Data61, Marsfield, New South Wales, Australia

    Surya Nepal

  2. Services Flagship, CSIRO Data61, Sydney, New South Wales, Australia

    Cécile Paris

  3. RMIT University, Melbourne, Victoria, Australia

    Dimitrios Georgakopoulos

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Grant-Muller, S.M., Gal-Tzur, A., Minkov, E., Kuflik, T., Nocera, S., Shoor, I. (2015). Transport Policy: Social Media and User-Generated Content in a Changing Information Paradigm. In: Nepal, S., Paris, C., Georgakopoulos, D. (eds) Social Media for Government Services. Springer, Cham. https://doi.org/10.1007/978-3-319-27237-5_15

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