TWEET DATA EXTRACTOR FOR CREATING A TWITTER TRAFFIC MAP MASHUP

Authors

  • Amirul Afif Jasmi Geoinformation Department, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Malaysia
  • Mohamad Hafis Izran Ishak Faculty Electrical Engineering, Universiti Teknologi Malaysia, Malaysia
  • Nurul Hawani Idris Geoinformation Department, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Malaysia

DOI:

https://doi.org/10.11113/jt.v75.5280

Keywords:

Twitter, map mashup, transportation planning, web data extractor, big data

Abstract

Over recent years, there has been a growth of interest in the use of social media including Facebook and Twitter by the authorities to share and updates current information to the general public. The technology has been used for a variety of purposes including traffic control and transportation planning. There is a concern that the use of new technologies, including social media will lead to data abundance that requires effective operational resources to interpret the big data. This paper proposes a tweet data extractor to extract the traffic tweet by the authority and visualise the reports and mash up on top of online map, namely Twitter map. Visualisation of traffic tweet on a map could assist a user to effectively interpret the text based Twitter report by a location based map viewer. Hence, it could ease the process of planning itinerary by the road users. 

References

Sofia, A. S. S. D., Nithyaa, R. and Arulraj, P. G. 2013. Minimizing the Traffic Congestion Using GIS. International Journal of Research in Engineering & Advanced Technology. 1(1): 1-6.

Turner, A. 2006. Introduction to Neogeography. O'Reilly Media

Goolsby, R. 2010. Social Media as Crisis Platform: The Future of Community Maps/Crisis Maps. ACM Transactions on Intelligent Systems and Technology. 1(1): 1-11.

Sui, D. Goodchild, M., Elwood, S. 2013. Chapter 1: Volunteered Geographic Information, the Exaflood, and the Growing Digital Divide. In Sui, D. et al. (eds). Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. Springer. 1-12.

Hamilton, A., Waterson, B., Cherret, T., Robinson, A. and Snell, I. 2012. The Evolution of Urban Traffic Control: changing policy and technology. Transportation Planning and Technology. 36(1).

Idris, N. H, Jackson, M. J, Said, M. N, Ishak, M. I. I, Hashim, G. H, Ismail, Z. 2014. Semi-Automated Metadata Detection for Assessing The Credibility of Map Mashups. The XXV FIG Congress. 16-21 June 2014, Kuala Lumpur.

Bednarz, R. S. and Bednarz, S.W. 2008. Chapter 16: The Importance of Spatial Thinking in an Uncertain World. In Sui, D. Z. (ed). Geospatial Technologies and Homeland Security. Springer: 315-330.

Deller, R. 2011. Twittering On: Audience Research And Participation Using Twitter. Journal of Audience and Reception Studies. 8: 1.

Idris, N. H. 2014. Credibility Assessment and Labelling on Map Mashup. PhD Thesis. The University of Nottingham.

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Published

2015-08-25

How to Cite

TWEET DATA EXTRACTOR FOR CREATING A TWITTER TRAFFIC MAP MASHUP. (2015). Jurnal Teknologi, 75(10). https://doi.org/10.11113/jt.v75.5280