Integration of MNO data with survey data to produce commuting statistics

Historically, decennial population censuses have served as the foundation for official statistics on commuter flows between municipalities. However, to obtain more timely data, Istat, the Italian National Institute for Statistics, among other statistical agencies, has transitioned to conducting annual census surveys with smaller sample sizes. This shift introduces several challenges in deriving accurate commuting statistics. The availability of Mobile Network Operator (MNO) data enables the identification of recurring flows between home and work or study locations. These flows could potentially become the primary source for generating official statistics by properly adjusting the MNO coverage in a quasi randomisation (QR) approach. In this paper, we explore the use of MNO data to estimate the number of commuters between the municipalities of an Italian region, with a focus on the quasi-randomisation approach.

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Publication Details

Journal
Statistical Journal of the IAOS
Published
2026-01-20
DOI
https://doi.org/10.1177/18747655251413352
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
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article

Integration of MNO data with survey data to produce commuting statistics

Loredana Di Consiglio, Tiziana Tuoto, Alessandro Piovani, T. Pichiorri et al.
Statistical Journal of the IAOS
Human Mobility and Location-Based Analysis
article

Integration of MNO data with survey data to produce commuting statistics

Loredana Di Consiglio, Tiziana Tuoto, Alessandro Piovani, T. Pichiorri, L.-C. Zhang
article en

Abstract

Historically, decennial population censuses have served as the foundation for official statistics on commuter flows between municipalities. However, to obtain more timely data, Istat, the Italian National Institute for Statistics, among other statistical agencies, has transitioned to conducting annual census surveys with smaller sample sizes. This shift introduces several challenges in deriving accurate commuting statistics. The availability of Mobile Network Operator (MNO) data enables the identification of recurring flows between home and work or study locations. These flows could potentially become the primary source for generating official statistics by properly adjusting the MNO coverage in a quasi randomisation (QR) approach. In this paper, we explore the use of MNO data to estimate the number of commuters between the municipalities of an Italian region, with a focus on the quasi-randomisation approach.

Statistical Journal of the IAOSVol. 42(1)
Statistics Norway (NO), Istituto Nazionale di Statistica (IT), University of Southampton (GB)
Openalex Percentile: Top 86%
Human Mobility and Location-Based Analysis
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Integration of MNO data with survey data to produce commuting statistics — Loredana Di Consiglio, Tiziana Tuoto, et al. · Statistical Journal of the IAOS (2026) | TGRS Research Map | TGRS