1. Description of target statistical outputs Roberta Radini – Istat
I° Internal Meeting of WP5 Mobile Phone Data
Madrid, 7 June

2. Description of target statistical outputs
Classifying and Measuring urban population
Producing an Origin Destination matrix at municipal level
Defining a method of integrating administrative data sources and mobile data
Description of target statistical outputs

3. Classifying municipality population (Users)
A person is Resident in an area A when his/her home is inside A. Therefore the mobility tends to be from and towards his/her home.
A person is a Commuter between an area B and an area A if his/her home is in B while the work/school place is in A. Therefore the daily mobility of this person is mainly between B and A.
A person is a Dynamic Resident between an area A and an area B if his/her home is in A while the work/school place is in B. A Dynamic Resident represents a sort of “opposite” of the Commuter.
A person is a Visitor in an area A if his/her home and work/school places are outside A, and the presence inside the area is limited to a certain period of time that can allow him/her to perform some activities in A. B A B A A B
Description of national ongoing/intended data processing

4. Passersby
We distinguish between Visitors and the subclass Passersby (people making a single call)
It is a heuristic method which allows for the exclusion of highways or airports in some cases and characterizes a different kind of visit
1 single call
Multiple calls
Description of target statistical outputs

5. Measuring urban population
Measuring urban population, aggregating:
Ranking:
Resident, Commuter, Dynamic Resident, and Visitor
Municipality level
Observed period (between 9 January and 12 February)
Description of target statistical outputs

6. Producing O/D Matrices
Considering the “home” location of the user we can compute the O/D Matrix representing people’s movement on a particular day or period.
Description of target statistical outputs

7. Integrating administrative data sources and mobile data
The first results computed on the CDR data show a good correlation between the administrative data provided by ISTAT and CDR.
This is a prerequisite for evaluating the use of mobile data to estimate particular statistical aggregate making use also of administrative data.
For instance, at ISTAT it is possible to estimate (making use of the Census or administrative data) the no-resident working or studying population in a municipality. The population of commuters and dynamic residents can be estimated by using CDRs .
This population can be used in the total populations in order to obtaine the sub-aggregate.
Description of target statistical outputs

8. Thanks