A novel activity space approach to discover displacement patterns via mobile phone data: an analysis of the 2023 Türkiye-Syria earthquakes

Publication date

2025-12

Authors

Aydoğdu, BilgeçağISNI 0000000517690332
Danış, Didem
Bilgili, ÖzgeORCID 0000-0002-1813-4707ISNI 0000000394215215
Yıldızcan, Cemil
Yağcıklı, Semiha Nur
Güneş, Subhi
Salah, Albert AliORCID 0000-0001-6342-428XISNI 0000000091147032

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Advisors

Supervisors

Document Type

Article
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License

cc_by

Abstract

This study introduces the novel Activity Space Approach (ASA) for measuring disaster-induced displacement patterns using mobile call detail records (CDR), where we explore shifting the focus in displacement detection from home locations to habitual living spaces. We apply our method to analyze the February 2023 Türkiye-Syria earthquakes, which affected over 14 million Turkish citizens and 1.7 million Syrian refugees within Türkiye. Using anonymized and hourly aggregated CDR data from 127,700 individuals, complemented with insights from qualitative fieldwork conducted in the regions affected by the earthquakes, we show that the proposed approach overcomes the main limitations of traditional home location methods and provides more granular spatial insights into displacement patterns. By incorporating measurements of urbanization and infrastructure damage, we illustrate how post-disaster mobility shows variation among locals and refugees, given their pre-existing socioeconomic vulnerabilities and unequal capacities to respond. Our findings demonstrate that, while Turkish citizens were able to evacuate more swiftly and over longer distances, Syrian refugees experienced slower and more spatially constrained displacements, often toward institutional settings such as camps, reflecting legal precarity and constrained mobility options. This comparative perspective underscores the importance of recognizing and mapping variations in displacement experiences across different population segments. Consequently, ASA can inform more targeted short-term policies and support more inclusive long-term recovery planning.

Keywords

Call Detail Records, Displacement, Earthquake, Mobile phone data, Syria, Türkiye, Modelling and Simulation, Computer Science Applications, Computational Mathematics, SDG 16 - Peace, Justice and Strong Institutions

Citation

Aydoğdu, B, Danış, D, Bilgili, Ö, Yıldızcan, C, Yağcıklı, S N, Güneş, S & Salah, A A 2025, 'A novel activity space approach to discover displacement patterns via mobile phone data : an analysis of the 2023 Türkiye-Syria earthquakes', EPJ Data Science, vol. 14, no. 1, 61. https://doi.org/10.1140/epjds/s13688-025-00572-8