Bilgeçağ Aydoğdu, Betül Ahat, A. Salah, Tuba Bircan
{"title":"Temporal and spatial analysis of indicators on segregation of Syrian refugees in Turkey with mobile phone data","authors":"Bilgeçağ Aydoğdu, Betül Ahat, A. Salah, Tuba Bircan","doi":"10.1109/SIU55565.2022.9864756","DOIUrl":null,"url":null,"abstract":"Measuring and monitoring immigrant integration is important for evidence based policy making. Mobile data proposes a valuable opportunity for developing fine grained indicators of segregation and integration of sub-populations. Due to privacy and ethical reasons, mobile phone data is rarely shared with researchers. In this study, we use anonymous and aggregated data sets prepared using mobile positioning data (XDR) collected by Turkcell throughout 2020 with the purpose of calculating different indicators of segregation for refugees in order to understand the temporal and spatial variation of these indicators. In this study, isolation index and dissimilarity index were calculated and compared in terms of their measure of migrant segregation.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU55565.2022.9864756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Measuring and monitoring immigrant integration is important for evidence based policy making. Mobile data proposes a valuable opportunity for developing fine grained indicators of segregation and integration of sub-populations. Due to privacy and ethical reasons, mobile phone data is rarely shared with researchers. In this study, we use anonymous and aggregated data sets prepared using mobile positioning data (XDR) collected by Turkcell throughout 2020 with the purpose of calculating different indicators of segregation for refugees in order to understand the temporal and spatial variation of these indicators. In this study, isolation index and dissimilarity index were calculated and compared in terms of their measure of migrant segregation.
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