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Apr 05, 2024 542 likes •755 views

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

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Defining usual environment with mobile positioning data

REIN AHAS – UNIVERSITY OF TARTU, ESTONIA JANIKA RAUN - UNIVERSITY OF TARTU, ESTONIA MARGUS TIRU – POSITIUM LBS, ESTONIA

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

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Objectives:

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

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Eurostat:

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

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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.

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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

gy/projects-and-studies

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Mobile positioning data

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Active positioning

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

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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…

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Usual environment with passive or active mobile positioning data:

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Example: Domestic Trips Outside Usual Environment

Using LAU-1 for defining usual environment Using LAU-2 for defining usual environment Official domestic accommodation stats (LAU-1)

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Usual environment with anchor point model:

Anchor point model: Regularity/timing Activity space ellipse: 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.

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Possible to calculate usual env. for: :

every person;
every day;
every location…

HOME WORK SECOND HOME weekday

Järv, O., Ahas, R. and Witlox, F. 2014. Understanding monthly variability in human activity spaces: a twelve-month study using mobile phone call detail records. Transportation Research C: 38 (1): 122–135.

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Discussion

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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

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New concept:

Usual environemnt as:

network of connected

places, activities and people

Social Network Analyses

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New products, , new consumers for statistics: :

ONLINE ADVERTISING:

In usual environment: Out of usual environment In second home:

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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

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Thank you!

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