The use of big mobile data to gain multilayered insights for Syrian refugee crisis

2019-09-01
Kılıç, Özgün Ozan
Işık, Oğuz
Günel Kılıç, Banu
Aydınoğlu, Arsev Umur
Sürer, Elif
Kalaycıoğlu, Hediye Sibel
Taşkaya Temizel, Tuğba
Show full item record
359
views
0
downloads
This study aims to shed light on various aspects of refugees’ lives in Turkey using mobile call data records of Türk Telekom, enriched with numerous local data sets. To achieve this, we made use of several statistical and data mining techniques in addition to a novel methodology to find home and work-time anchors of mobile phone users we developed. Our results showed that refugees are highly mobile as a survival strategy—a significant number of whom work as seasonal workers. Most prefer to live in relatively low-status neighborhoods, close to city transport links and fellow refugees. The ones living in these neighborhoods appear to be introverts, living in a closed neighborhood. However, the middle- and upper-class refugees appear to be the opposite. Fatih, İstanbul was found as an important hub for refugees. Finally, the officially registered refugee numbers do not reflect the real refugee population in Turkey. Due to their high mobility, refugees lag behind in keeping up-to-date information about their residential address, resulting in a significant discrepancy between the official numbers and the real numbers. We think that policymakers can benefit from the proposed methods in this study to develop real-time solutions for the well-being of refugees.
https://link.springer.com/chapter/10.1007%2F978-3-030-12554-7_18
https://hdl.handle.net/11511/78154
Graduate School of Informatics, Book / Book chapter

Suggestions

The Use of Big Mobile Data to Gain Multilayered Insights for Syrian Refugee Crisis
Kılıç, Özgün Ozan; Işık, Oğuz; Günel Kılıç, Banu; Aydınoğlu, Arsev Umur; Düzgün, Şebnem; Kalaycıoğlu, Sibel; Taşkaya Temizel, Tuğba (Springer, 2019-01-01)
This study aims to shed light on various aspects of refugees’ lives in Turkey using mobile call data records of Türk Telekom, enriched with numerous local data sets. To achieve this, we made use of several statistical and data mining techniques in addition to a novel methodology to find home and work-time anchors of mobile phone users we developed. Our results showed that refugees are highly mobile as a survival strategy—a significant number of whom work as seasonal workers. Most prefer to live in relativel...
Data Analytics without Borders: Multi-Layered Insights for Syrian Refugee Crisis
Kılıç, Özgün Ozan; Işık, Oğuz; Günel Kılıç, Banu; Aydınoğlu, Arsev Umur; Sürer, Elif; Kalaycıoğlu, Sibel; Taşkaya Temizel, Tuğba (2019-01-21)
This study aims to shed light on various aspects of refugees’ lives in Turkey using mobile call data records of Türk Telekom, which is enriched with numerous local data sets. To achieve this, we made use of several techniques in addition to a novel methodology we developed for this particular domain. Our results showed that refugees are highly mobile as a survival strategy, a significant number of whom work as seasonal workers. Most prefer to live in relatively cheap neighborhoods, close to city transport l...
The role of Gender in Pharmacists Attitudes towards E-pharmacy Application
Alasehir, Oguzhan; Sezgin, Emre; Özkan Yıldırım, Sevgi (2012-06-29)
There have been a number of projects conducted to provide health services by using information technologies in Turkey. The aim of these projects was to establish a platform to serve health services quickly and by the most accurate way. Although such systems provide various functionalities in theory, a new system has always been questioned in terms of its acceptability and usability in practice. In this study, a web-based application used by pharmacists for patient's medicine records and its registration, na...
The role of education on integration policies : a comparıson of Sweden, Germany and Turkey after the Syrian refugee crisis
Erşekerci, Nesibe Burcu; Tür Küçükkaya, Özlem; Department of Middle East Studies (2020)
This study aims to produce a comparative research on integration policies of Sweden, Germany, and Turkey that host remarkable number of Syrians after the crisis in Syria which is considered as the biggest humanitarian and refugee crisis of our time. This study mainly examines main integration areas and tools used by Sweden, Germany and Turkey to deal with unexpected number of Syrian refugees This study argues that after the Syrian crisis, despite the three countries’ distinct characteristics, and their diff...
A Multi-layer model for privacy preserving policy making for disclosure of public health data
Alizadeh Mizani, Mehrdad; Baykal, Nazife; Department of Medical Informatics (2013)
Health organizations in Turkey collect ever-increasing amount of individual data are valuable source of information for public health research. However, due to privacy risks, they publish data in aggregated rather than individual forms. The lack of standardized policies regarding secondary uses of health data leads to ineffectiveness of available technical methods. As a result, access to and utilization of person-specific datasets by public health researchers become extremely cumbersome. The bias introduced...
Citation Formats
Ö. O. Kılıç et al., The use of big mobile data to gain multilayered insights for Syrian refugee crisis. 2019, p. 379.
METU IIS - Integrated Information Service open@metu.edu.tr