Temporally Consistent Present Population from Mobile Network Signaling Data for Official Statistics

Suarez Castillo Milena (), Sémécurbe Francois (), Ziemlicki Cezary (), Tao Haixuan Xavier () and Seimandi Tom ()
Additional contact information
Suarez Castillo Milena: INSEE, SSP Lab, 88 avenue Verdier, Montrouge,Île-de-France, 92120, France.
Sémécurbe Francois: INSEE, SSP Lab, 88 avenue Verdier, Montrouge,Île-de-France, 92120, France.
Ziemlicki Cezary: Orange Labs R&D Châtillon, Chatillon,Île-de-France, France.
Tao Haixuan Xavier: INSEE, SSP Lab, 88 avenue Verdier, Montrouge,Île-de-France, 92120, France.
Seimandi Tom: INSEE, SSP Lab, 88 avenue Verdier, Montrouge,Île-de-France, 92120, France.

Journal of Official Statistics, 2023, vol. 39, issue 4, 535-570

Abstract: Mobile network data records are promising for measuring temporal changes in present populations. This promise has been boosted since high-frequency passively-collected signaling data became available. Its temporal event rate is considerably higher than that of Call Detail Records – on which most of the previous literature is based. Yet, we show it remains a challenge to produce statistics consistent over time, robust to changes in the “measuring instruments” and conveying spatial uncertainty to the end user. In this article, we propose a methodology to estimate – consistently over several months – hourly population presence over France based on signaling data spatially merged with fine-grained official population counts. We draw particular attention to consistency at several spatial scales and over time and to spatial mapping reflecting spatial accuracy. We compare the results with external references and discuss the challenges which remain. We argue data fusion approaches between fine-grained official statistics data sets and mobile network data, spatially merged to preserve privacy, are promising for future methodologies.

Keywords: Big data; High frequency statistics; dynamic population mapping; spatial accuracy (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/jos-2023-0025 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:39:y:2023:i:4:p:535-570:n:8

DOI: 10.2478/jos-2023-0025

Access Statistics for this article

Journal of Official Statistics is currently edited by Annica Isaksson and Ingegerd Jansson

More articles in Journal of Official Statistics from Sciendo
Bibliographic data for series maintained by Peter Golla ().