Mobile telephones and mobile positioning data as source for · (Eds.) Lecture Notes in...
Transcript of Mobile telephones and mobile positioning data as source for · (Eds.) Lecture Notes in...
Mobile telephones and mobile
positioning data as source for
population statistics
Erki SaluveerPositium LBS
Rein AhasChair of Human GeographyUniversity of Tartu, Estonia
Need for new population statistics:
Rising spatial mobility
Fast changes in society, settlement system
Opening borders, globalisation
Multi-residence, multi jobs, mobile jobs....
Objective:
To introduce potential of mobile
positioning data
To demonstrate examples from Estonia
Mobile positioning
Mobile positioning is locating
(pinpointing) mobile phones with radio
wave
Geometry of mobile positioning
Area, sector
Location
“point”
CGI-TA
Mobile positioning data
Same as any location
data
Anonymous user ID
Time
Geometry
Mobile positioning methods
Active mobile positioning
Real-time
Contract with user
Numerous different methods
Passive mobile positioning
From log files
Anonymous
Active mobile
positioning
mobile tracking
Active positioning – asking locations
with special queries
“Trace phone 5035914 with
15 min interval 08.10.10-
10.10.10”
Network based methods
Handset based methods
Mobile tracking
Studying commuters from new
suburbs of Tallinn:
Sampling – 600 families from new settlement areas
Questionnaire – 60 min questions by polling firm EMOR TNS
Tracking mobile phones with 15 min intervals for 8 days
Leasure time locations of suburban commuters
18.00-20.00
Passive mobile
positioning
Passive positioning – location
information from memory files of
mobile operator
Passive mobile positioning data
Huge amounts of data
Spatial accuracy: Cell ID
Roaming users (foreigners in Estonia)
Local users (Estonians)
Tourism
Erk
i Sa
luve
er
30
.11
.2009
ANCHOR POINTS
Anchor points model:
Calculating anchor points from
the database
home
work
leisure
irregular
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Commuting patterns
Downscaling movements to
road/street canyons
Use of second homes in Estonia
Days spent in second homes
Regular user is Bank of Estonia
IN/OUT tourism statistics for calculations
of payment balance
Positium Data Mediator – program to
prepare data for statistical analyses
Strenghts of mobile
positioning
Strengths of mobile positioning:
Phones are widespread
Data is digital
Recording actual locations of phones (people)
Possible to “measure” multi-residence & distant work ...
Very good spatial and temporal
coverage: cell / seconds
25
Strengths of mobile positioning:
Possibility to ask “location aware questions”
Study short-term mobility
Real-time maps and applications!
Problems with
mobile positioning
Too quantitative?
Gender differences in phone use: 2006-2009
Troubles to get the data
How to reach operators?
High cost of data?
How to manage huge GIS databases?
Spatial interpolation...
List of Mobile Positioning based papers published by:
Department of Geography, University of Tartu: [email protected]
Positium LBS, Tartu, Õpetaja 9, Estonia, [email protected]
Magazines
Kuusik, A., Tiru, M., Varblane, U., Ahas, R. 2010. Process innovation in destination marketing: use of passive mobile positioning (PMP) for segmentation of repeat visitors
in case of Estonia, Baltic Journal of Management (submitted).
Tiru, M., Kuusik, A., Lamp, M-L., Ahas, R. 2010. LBS in marketing and tourism management: measuring destination loyalty with mobile positioning data. Journal of
Location Based Services, 4(2): 120-140.
Ahas, R. 2010. Mobile positioning data in geography and planning, Editorial. Journal of Location Based Services, 4(2): 67-69.
Silm,S., Ahas, R., 2010. 'The seasonal variability of population in Estonian municipalities, Environmnet and Planning A, (in press).
Tiru, M., Saluveer E., Ahas, R., Aasa, A. 2010. Web-based monitoring tool for assessing space-time mobility of tourists using mobile positioning data: Positium Barometer.
Journal of Urban Technology, 17(1): 71-89.
Ahas R. 2010. From the Guest Editor: Mobile Positioning and Tracking in Geography and Planning, Journal of Urban Technology, 17(1):1-2
Ahas, R., Silm, S., Järv, O., Saluveer E., Tiru, M. 2010. Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones , Journal of Urban
Technology, 17(1): 3-27.
Ahas, R. Aasa, A., Silm, S., Tiru, M. 2010. Daily rhythms of suburban commuters’ movements in the Tallinn metropolitan area: case study with mobile positioning data.
Transportation Research C, 18: 45–54.
Tammaru, T., Leetmaa K., Silm, S, Ahas, R. 2008 New residential areas in the Tallinn Metropolitan Area. European Planning Studies, European Planning. Stud 17(3):
423-439
Ahas, R. Aasa, A., Roose, A., Mark, Ü., Silm, S. 2008. Evaluating passive mobile positioning data for tourism surveys: An Estonian case study. Tourism Management
29(3): 469–486.
Ahas, R., Aasa, A., Silm, S., Aunap, R., Kalle, H., Mark, Ü. 2007. Mobile positioning in space-time
behaviour studies: Social Positioning Method experiments in Estonia. Cartography and Geographic Information Science 34(4): 259-273.
Ahas, R., Aasa, A., Mark, Ü., Pae, T., Kull, T. 2007. Seasonal tourism spaces in Estonia: case study with mobile positioning data. Tourism Management 28(3): 898–910.
Ahas, R., Mark, Ü. 2005. Location based services – new challenges for planning and public administration? Futures, 37(6): 547-561.
Book chapters
Ahas, R. 2010.Mobile positioning in mobility studies. In: Mobile Methods (Büscher, M., Urry, J., Witchger K eds.) Routledge, pp. 183-199.
Kuusik, A.; Ahas, R.; Tiru, M. 2010. The ability of turism events to generate destination loyalty towards the country: an Estonian case study. Mäeltsamees, S.; Reiljan, J.
(Toim.). XVIII rahvusvaheline majanduspoliitika teaduskonverents Majanduspoliitika Eesti riikides – aasta 2010 (156 - 175).Berliner Wissenchafts-Verlag, Mattimar.
Kuusik, A., Ahas, R., Tiru, M. 2009. Analysing Repeat Visitation on Country Level wirh Passive Mobile Positioning Method: An Estonian Case Study. XVII Scientific
Conference on Economic Policy, Estonia 1–3.07.2009 in Tartu and Värska.
Ahas, R., Pechlaner, H., Nilbe, K. 2009. Developing event marketing strategies with mobile telephone positioning data: case study with Lindora agricultural fair in Estonia.
Events and meeting in the city, Göteborg, Sweden, 17.-20.06.2009, conference proceedings.
Ahas, R., Silm, S, Saluveer, E. and Järv, O. 2008. Modelling Home and Work Locations of Population Using Passive Mobile Positioning Data. In: G. Gartner and K. Rehr
(Eds.) Lecture Notes in Geoinformation and Cartography, Location Based Services and TeleCarography II, From Sensor Fusion to Contexts Models, Springer, pp 301-
315.
Ahas, R., Saluvee, E., Tiru,M. and Silm, S. 2008.Mobile Positioning Based Tourism Monitoring System: Positium Barometer. In: O’Connor, P., Höpken, W. and Gretzel, U.
(Eds.), Springer Computer Science: Information and Communication Technologies in Tourism, pp. 475-485.
Ahas, R., Aasa, A., Silm, S., Tiru, M. 2007. Mobile positioning data in tourism studies and monitoring: case study in Tartu, Estonia. In: Sigala, M., Mich, L., Murphy, J.
(Eds.), Springer Computer Science: Information and Communication Technologies in Tourism, ISBN: 978-3-211-69564-7, pp. 119-128.
Ahas, R., Laineste, J., Aasa, A., Mark, Ü. 2007. The Spatial Accuracy of Mobile Positioning: Some experiences with Geographical Studies in Estonia. In: Gartner, G.,
Cartwright, W., Peterson, M.P. (Eds.) Location Based Services and TeleCartography. Lecture Notes in Geoinformation and Cartography, Springer, ISBN: 978-3-540-
36727-7 (pp 122-146).