We use mobile phone usage data to measure the extent of segregation of Syrian refugees in Turkey, and analyze its role in their internal mobility patterns. We construct a range of dissimilarity and normalized isolation indices using the hourly phone call volume of refugees and natives. The richness of the data allows us to compute the indices across different provinces and over time. Segregation levels show high variation across the country, with significantly lower levels of segregation in provinces with a higher share of refugees. Refugee mobility across provinces over time appears to be negatively correlated with segregation at destination, while native mobility is not. Based on data from Istanbul, segregation does not influence intra-province mobility. This is possibly due to the differences in segregation indices across the hours of the day, suggesting that residential segregation is higher than labor market segregation.

我们使用手机使用数据来衡量叙利亚难民在土耳其的隔离程度，并分析其在其内部流动模式中的作用。我们使用难民和当地人的每小时通话量构建了一系列差异化和标准化隔离指数。数据的丰富性使我们能够计算不同省份和不同时间的指数。隔离水平在全国范围内表现出很大差异，在难民比例较高的省份，隔离水平明显较低。随着时间的推移，跨省的难民流动似乎与目的地隔离呈负相关，而本土流动则不然。根据伊斯坦布尔的数据，隔离不会影响省内流动。这可能是由于一天中不同时间的隔离指数存在差异，