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Abstract

The global number of individuals experiencing forced displacement has reached its highest level in the past decade. In this context, the provision of services for those in need requires timely and evidence-based approaches. How can mobile phone data (MPD) based analyses address the knowledge gap on mobility patterns and needs assessments in forced displacement settings? To answer this question, in this paper, we examine the capacity of MPD to function as a tool for anticipatory analysis, particularly in response to natural disasters and conflicts that lead to internal or cross-border displacement. The paper begins with a detailed review of the processes involved in acquiring, processing, and analyzing MPD in forced displacement settings. Following this, we critically assess the challenges associated with employing MPD in policy-making, with a specific focus on issues of user privacy and data ethics. The paper concludes by evaluating the potential benefits of MPD analysis for targeted and effective policy interventions and discusses future research avenues, drawing on recent studies and ongoing collaborations with mobile network operators.

Details

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Title
Mobile phone data for anticipating displacements: practices, opportunities, and challenges
Author
Aydoğdu, Bilgeçağ 1   VIAFID ORCID Logo  ; Bilgili, Özge 2 ; Güneş, Subhi 3 ; Albert Ali Salah 1   VIAFID ORCID Logo 

 Dept. Information and Computing Sciences, Universiteit Utrecht, Utrecht, The Netherlands 
 Dept. Interdisciplinary Social Science, Universiteit Utrecht, Utrecht, The Netherlands 
 Turkcell Technology, Istanbul Turkey 
Publication title
Data & Policy; Cambridge
Volume
7
Publication year
2025
Publication date
Jan 2025
Section
Data for Policy Proceedings Paper
Publisher
Cambridge University Press
Place of publication
Cambridge
Country of publication
United Kingdom
e-ISSN
26323249
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-01-08
Milestone dates
2023-12-07 (Received); 2024-08-31 (Revised); 2024-11-12 (Accepted)
Publication history
 
 
   First posting date
08 Jan 2025
ProQuest document ID
3152393603
Document URL
https://www.proquest.com/scholarly-journals/mobile-phone-data-anticipating-displacements/docview/3152393603/se-2?accountid=208611
Copyright
© The Author(s), 2025. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-07
Database
ProQuest One Academic