mobile and location based services
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Mobile and Location Based Services Anto Aasa PhD , Senior Research - PowerPoint PPT Presentation

Mobile and Location Based Services Anto Aasa PhD , Senior Research Fellow department of geography University of Tartu Estonia http://aasa.ut.ee/augsburg http://mobilitylab.ut.ee/eng/ http://aasa.ut.ee/augsburg Eesti Capital: Tallinn Area:


  1. World air travel routes http://aasa.ut.ee/augsburg http://imgur.com/gallery/vVBTV

  2. Estonian road network 13th century http://aasa.ut.ee/augsburg

  3. EENet magistral internet network http://aasa.ut.ee/augsburg

  4. EENet magistral internet network 2015 http://aasa.ut.ee/augsburg

  5. Optical fiber (2015) http://aasa.ut.ee/augsburg http://www.elasa.ee/index.php?page=64

  6. http://aasa.ut.ee/augsburg

  7. Operation of LBS • Many players • Value chain of LBS is very fragmented • Roles: – subscriber, – network, – network operator, – service provider, – content provider http://aasa.ut.ee/augsburg

  8. OracleAS Wireless location-based services http://aasa.ut.ee/augsburg https://docs.oracle.com/cd/B25006_02/tour/qt/wireless004.htm

  9. Value chain Mobile operator Network hardware Positioning system Database Data processing Data transmission GIS Spatial interpolation Analysis Application LBS user http://aasa.ut.ee/augsburg

  10. Axel Küpper http://aasa.ut.ee/augsburg

  11. http://aasa.ut.ee/augsburg http://myovi.blogspot.com.ee/2011/09/6-players-in-location-based-services.html

  12. LBS content • Information or message service • Location based call forwarding • LBS: – proactive – reactive http://aasa.ut.ee/augsburg

  13. LBS applications • Business initiative – Info services – Community services – Traffic telematics – Fleet management & logistics – Mobile marketing – Games http://aasa.ut.ee/augsburg

  14. LBS applications • Public initiative – Emergency services – Taxation – Information http://aasa.ut.ee/augsburg

  15. Examples of LBS 1. Rescue Board, emergency call location 2. Friend finder 3. Find nearest … 4. Entertainment (games, dating) 5. Inspection ( fleet management ) http://aasa.ut.ee/augsburg

  16. LBS 2015 • Navigation • Mapping & GIS • Geomarketing & -advertising • Safety & emergency • Enterprise applications • Sport • Games & augmented reality • Social networking http://aasa.ut.ee/augsburg

  17. Apps • > 70 per handheld device • 50% never paid > $1 • Download of „ location based “ apps – 2014: 2.8 billions – 2019: 7.5 billions http://aasa.ut.ee/augsburg

  18. Size of app stores • ca 2015 – Google Play >1.500.000 – Apple App Store 1.400.000 – Windows Store ~700.000 – Windows Phone Store > 400.000 – Amazon Appstore 330.000 – Blackberry World 223.000 http://aasa.ut.ee/augsburg

  19. • Handheld devices with GNSS support: – 2014: 3.1 billions – 2017: 5.2 billions • (many have more than one device) http://aasa.ut.ee/augsburg

  20. • Forecasted GNSS related market size in year 2025: € 4.000.000.000 • Annual increase: +25% http://aasa.ut.ee/augsburg

  21. http://www.gsa.europa.eu/sites/default/files/LBS_0.pdf http://aasa.ut.ee/augsburg

  22. Slow start of LBS. Why? • Price • Spatial accuracy • Usability • No services? http://aasa.ut.ee/augsburg

  23. Background • Spatial technology is in „mass consumption “: – Car navigation – GNSS-Phones – Interactive Internet maps => Rapid growth in public awarness about maps, mapping and spatial positioning http://aasa.ut.ee/augsburg

  24. • LBS – Location context to the „ old service “ – New service • LBS development is slower than development of technology http://aasa.ut.ee/augsburg

  25. Bottlenecks of the LBS • High-quality location information • Cost and availability of the infrastructure • Integration of systems • Usability http://aasa.ut.ee/augsburg

  26. To overcome bottlenecks • Development of positioning technics • Cost-effective technology • Standards! http://aasa.ut.ee/augsburg

  27. To overcome bottlenecks II • Context sensitivity • Adaptation with user • User modelling http://aasa.ut.ee/augsburg

  28. http://aasa.ut.ee/augsburg

  29. User profile • IP adress (origin, service provider), • user ID, • Internet browser – browser extensions, • Display (resolution) • Search keywords, click tracking • Visit time, spent time http://aasa.ut.ee/augsburg

  30. User’s modelling • Computer skills (e.g. typing speed) • spatial literacy • Usage of interactive applications • ... http://aasa.ut.ee/augsburg

  31. Modelling • Users background – Cultural, – Educational, – Social background, – Psychological, – … http://aasa.ut.ee/augsburg

  32. Example of the user modelling http://aasa.ut.ee/augsburg

  33. Modelling user http://aasa.ut.ee/augsburg

  34. Google about me http://aasa.ut.ee/augsburg

  35. LBSi architecture. Example http://aasa.ut.ee/augsburg

  36. Adaptation with user • Show/hide content • Show more/less information • Tips, recommendations • Focusing on places interesting to users • Recommendation of social content http://aasa.ut.ee/augsburg

  37. Social component • User profile • instant messenger • Friends • Users catalog http://aasa.ut.ee/augsburg

  38. LBS architecture http://aasa.ut.ee/augsburg

  39. Life cycle of service? https://www.google.com/trends/ http://aasa.ut.ee/augsburg

  40. Technological ground • Fast development of mobile devices – Display – GNSS • GPS – A-GPS http://aasa.ut.ee/augsburg

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