Unique ID: 2015063

Division: Deputy Director General
Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

Daytime population statistics based on mobile phone location data

Daytime population statistics based on mobile phone location data

The aim of the project is to produce statistics on the spatial distribution of the Dutch population during the day, as opposed to the spatial distribution as registered by the municipality of residence. This will be based on mobile phone location data. The mobility aspect remains out of scope for the time being, but it is envisaged to use the same data source for an enrichment of tourism statistics in coming years. Before the start of the project, research had been done on the feasibility and methodology for these statistics.

Project Objective:

Pilot intended to go to production to supplement existing data

Project Outcomes:

The aim for the beginning of 2016 is to produce and publish a table with basic data on the daytime distribution of the Dutch population by municipality, for various moments during the day, for a certain period, together with a graphical representation (map of the Netherlands).

Publications Comments:

Daas, P.J.H., Puts, M.J., Buelens, B. and van den Hurk, P.A.M. (2015) Big Data as a Source for Official Statistics. Journal of Official Statistics 31(2), pp. 249-262.

Statistical Area

Tourism, Demographic and social

Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Mobile phone data
Region: Europe & Central Asia
Country Area: Netherlands
Id Country Regional: country
Partnerships
Partnerships
Data Providers: Mobile Phone operator
Partnership Comments: The Mobile phone operator created a subsidiary for data analysis and data requests.
Accessing Data
Accessing Data
Data Access Rights: Only for this project
Intermediary Comments: The intermediary is linked to the Mobile phone operator.
Data Access Comments: Only (very small) aggregates are obtained, in order not to run into privacy and public image problems. Mobile phone customers have an opt-out, but this is rarely used.
Data Coverage
Data Coverage
Data Coverage: Other
Coverage Geo Pop: Whole country / high % of market
Cost Implication: Free
Coverage Geo Comments: The provider has a market share of about 35%, but the distribution is fairly balanced.
Coverage Period: From 2013 onwards
Project Details
Project Details
Frequency Comments: Only (very small) aggregates are obtained, in order not to run into privacy and public image problems. Mobile phone customers have an opt-out, but this is rarely used.
Data Quality
Data Quality
Quality Aspects Evaluated: Privacy and Security, Completeness, Usability, Time Factors, Validity, Accuracy, including selectivity, Coherence, including linkability to other sources
Quality Framework Comments: No existing quality framework has been explicitly used, although all relevant professional quality considerations are respected.
Data Quality Concerns Comments: Although the mobile phone provider applies aggregation methods as agreed with Statistics Netherlands, validity checks have shown that algorithms had not been implemented properly. (The provider is currently recompiling the data.) As we do not get access to individual records or the code, we cannot fully check the quality of the data obtained ourselves.
Methodology
Methodology
Methods Used: Traditional statistical methods
Technologies
Technologies
Technologies: Data visualization tools, R-Hadoop
Technologies Comments: Data visualization tools in R
Other
Other
Income Level: High-income
Iso: NL
Timeframe To Produce Indicator: NA
Frequency Comments: Only (very small) aggregates are obtained, in order not to run into privacy and public image problems. Mobile phone customers have an opt-out, but this is rarely used.
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