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Detecting dangerous maritime refugee migration paths through cell phone activities

Detecting dangerous maritime refugee migration paths through cell phone activities
Detecting dangerous maritime refugee migration paths through cell phone activities
In the 21st century, the world has experienced devastating wars that have caused people to migrate, creating problems in host countries. Among these migration routes, maritime migration routes are more desirable compared to other routes because coasts cannot be controlled as strictly as the alternative passages. However, maritime migration poses life-threatening risks due to unsafe boats, transportation between undesignated areas, lack of life-saving equipment, and dangerous weather conditions chosen for covert operations. Refugees and migrants may die or go missing at sea during these migrations. Most refugees are unaware of high risks they are facing as they hopelessly set out in search of better living conditions. In this study, we propose that such suicide-like maritime migration activities can be detected to some extent through cell phone activities and there may be a way to track early signs of migrants coming together from other regions and migrating through sea routes. By collecting media reports of failed attempts by immigrants and linking them to the D4R cell phone data, we were able to gain some indications of the possibility of early warning systems through analysis of cell phone calls.
D4R, Early detection of unsafe migration pathways, Maritime refugee mobility, Safety and security of immigrants
6119-6124
IEEE
Coban, M.
d21c5fe2-3071-49c4-8c7f-dc781ceeb941
Yumusak, S.
5a45f53d-7a3c-4e3d-93b1-bc83f7096f37
Yilmaz, Y.
6b5cc6e0-2711-4c0c-8f68-5bca77184d08
Altun, H.O.
13fd668b-cc85-4f2a-b6d2-863199433777
Tsumoto, Shusaku
Ohsawa, Yukio
Chen, Lei
Van den Poel, Dirk
Hu, Xiaohua
Motomura, Yoichi
Takagi, Takuya
Wu, Lingfei
Xie, Ying
Abe, Akihiro
Raghavan, Vijay
Coban, M.
d21c5fe2-3071-49c4-8c7f-dc781ceeb941
Yumusak, S.
5a45f53d-7a3c-4e3d-93b1-bc83f7096f37
Yilmaz, Y.
6b5cc6e0-2711-4c0c-8f68-5bca77184d08
Altun, H.O.
13fd668b-cc85-4f2a-b6d2-863199433777
Tsumoto, Shusaku
Ohsawa, Yukio
Chen, Lei
Van den Poel, Dirk
Hu, Xiaohua
Motomura, Yoichi
Takagi, Takuya
Wu, Lingfei
Xie, Ying
Abe, Akihiro
Raghavan, Vijay

Coban, M., Yumusak, S., Yilmaz, Y. and Altun, H.O. (2023) Detecting dangerous maritime refugee migration paths through cell phone activities. Tsumoto, Shusaku, Ohsawa, Yukio, Chen, Lei, Van den Poel, Dirk, Hu, Xiaohua, Motomura, Yoichi, Takagi, Takuya, Wu, Lingfei, Xie, Ying, Abe, Akihiro and Raghavan, Vijay (eds.) In Proceedings of the 2022 IEEE International Conference on Big Data, Big Data 2022. IEEE. pp. 6119-6124 . (doi:10.1109/BigData55660.2022.10021131).

Record type: Conference or Workshop Item (Paper)

Abstract

In the 21st century, the world has experienced devastating wars that have caused people to migrate, creating problems in host countries. Among these migration routes, maritime migration routes are more desirable compared to other routes because coasts cannot be controlled as strictly as the alternative passages. However, maritime migration poses life-threatening risks due to unsafe boats, transportation between undesignated areas, lack of life-saving equipment, and dangerous weather conditions chosen for covert operations. Refugees and migrants may die or go missing at sea during these migrations. Most refugees are unaware of high risks they are facing as they hopelessly set out in search of better living conditions. In this study, we propose that such suicide-like maritime migration activities can be detected to some extent through cell phone activities and there may be a way to track early signs of migrants coming together from other regions and migrating through sea routes. By collecting media reports of failed attempts by immigrants and linking them to the D4R cell phone data, we were able to gain some indications of the possibility of early warning systems through analysis of cell phone calls.

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More information

Published date: 26 January 2023
Additional Information: Publisher Copyright: © 2022 IEEE.
Venue - Dates: 2022 IEEE International Conference on Big Data (Big Data), , Osaka, Japan, 2022-12-17 - 2022-12-20
Keywords: D4R, Early detection of unsafe migration pathways, Maritime refugee mobility, Safety and security of immigrants

Identifiers

Local EPrints ID: 478330
URI: http://eprints.soton.ac.uk/id/eprint/478330
PURE UUID: b012c482-5970-43bd-a215-1b2ea855c565
ORCID for Y. Yilmaz: ORCID iD orcid.org/0000-0002-5337-6090

Catalogue record

Date deposited: 28 Jun 2023 16:48
Last modified: 17 Mar 2024 02:35

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Contributors

Author: M. Coban
Author: S. Yumusak
Author: Y. Yilmaz ORCID iD
Author: H.O. Altun
Editor: Shusaku Tsumoto
Editor: Yukio Ohsawa
Editor: Lei Chen
Editor: Dirk Van den Poel
Editor: Xiaohua Hu
Editor: Yoichi Motomura
Editor: Takuya Takagi
Editor: Lingfei Wu
Editor: Ying Xie
Editor: Akihiro Abe
Editor: Vijay Raghavan

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