Leveraging Mobile Phone Data for Migration Flows
Massimiliano Luca, Gianni Barlacchi, Nuria Oliver, Bruno Lepri

TL;DR
This paper discusses how mobile phone data, specifically Call Detail Records, can be used as a timely and cost-effective alternative to traditional methods for analyzing migration flows, providing new insights into human mobility.
Contribution
It highlights the potential of mobile phone data for migration analysis and discusses challenges to effectively utilize this data for better decision-making.
Findings
Mobile phone data offers up-to-date migration insights.
Aggregated CDRs can reveal mobility patterns and settlement dynamics.
Challenges include data privacy and methodological standardization.
Abstract
Statistics on migration flows are often derived from census data, which suffer from intrinsic limitations, including costs and infrequent sampling. When censuses are used, there is typically a time gap - up to a few years - between the data collection process and the computation and publication of relevant statistics. This gap is a significant drawback for the analysis of a phenomenon that is continuously and rapidly changing. Alternative data sources, such as surveys and field observations, also suffer from reliability, costs, and scale limitations. The ubiquity of mobile phones enables an accurate and efficient collection of up-to-date data related to migration. Indeed, passively collected data by the mobile network infrastructure via aggregated, pseudonymized Call Detail Records (CDRs) is of great value to understand human migrations. Through the analysis of mobile phone data, we can…
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Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Opportunistic and Delay-Tolerant Networks · Data-Driven Disease Surveillance
