mobile positioning data REIN AHAS UNIVERSITY OF TARTU, ESTONIA - PowerPoint PPT Presentation

Defining usual environment with mobile positioning data REIN AHAS – UNIVERSITY OF TARTU, ESTONIA JANIKA RAUN - UNIVERSITY OF TARTU, ESTONIA MARGUS TIRU – POSITIUM LBS, ESTONIA

BIG data can not replace existing data automatically. There is need to redefine concepts, to develop new methods, validate …

Objectives: How to measure usual environment with mobile positioning data? New data for „old concepts“ Old data for …

Eurostat: Usual environment means the geographical area within which an individual conducts his regular life routines … … not necessarily a contiguous area

The determination of the usual environment should be based on the following criteria: a) Frequency of the trip (except for visits to vacation homes); b) Duration of the trip; c) The crossing of administrative or national borders; d) Distance from the place of usual residence.

Feasibility Study on the Use of Mobile Positioning Data for Tourism Statistics Eurostat Contract No 30501.2012.001-2012.452, 31p. http://ec.europa.eu/eurostat/web/tourism/methodol ogy/projects-and-studies

Mobile positioning data

Active positioning Movement track – GPS, MPS Good quality – location, timing We can ask respondents: about trips, transportation mode…

Passive mobile positioning Phone use data: Call Detail Record… Low quality: ◦ location for network cells ◦ location points irregular Anonymous data: we cannot ask about trips, transportation mode …

Usual environment with passive or active mobile positioning data:

Example: Domestic Trips Outside Usual Environment Using LAU-2 for defining usual environment Using LAU-1 for defining usual environment Official domestic accommodation stats (LAU-1)

Usual environment with anchor point model: Anchor point model: Activity space ellipse: Regularity/timing Standard deviation/ confidence 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.

Possible to calculate usual env. for: : HOME - every person; - every day; WORK - every location… Järv, O., Ahas, R. and Witlox, F. 2014. Understanding monthly variability in human activity SECOND spaces: a twelve-month study using HOME mobile phone call detail records. Transportation Research C: 38 (1): 122 – 135. weekday

Discussion

For measuring usual environment with mobile data we need: Microdata with individual ID Long time series: - active tracking data minimum 1 week - passive positioning data minimum 1 month

New concept: Usual environemnt as: - network of connected places, activities and people - Social Network Analyses

New products, , new consumers for statistics: : ONLINE ADVERTISING: In usual environment: Out of usual environment In second home:

Conclusions: Microdata from mobile devices has high potential for statistics ◦ Longitudinal data, timeliness of data… New products, tailor-made products Statistical body can be also „conceptual body“ for definitions, algorithms

Thank you! REIN.AHAS@UT.EE UNIVERSITY OF TARTU HTTP://MOBILITYLAB.UT.EE/