Mobile data challenges for human mobility analysis and humanitarian response

A. A. Salah
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Abstract

Telecommunication operators have a unique perspective on human mobility; they know the locations of their customers, for most of the time. In recent years, a number of initiatives were organized by telecommunication operators in which mobile call data records (CDR) were carefully anonymised, aggregated, and opened to researchers in form of a challenge for providing new insights into people's movements and displacement patterns. An example is the Data for Refugees Challenge, organized with the expressed aim "to improve the living conditions of over 3.5 million Syrian refugees in Turkey". Typically, the mobile phone datasets collected by a telecommunication operator only include movement patterns observed within a single country, but with additional assumptions, it is also possible to gain insights into movements across borders. This chapter provides an historical overview of research on mobility analysis through mobile CDR, highlights practical issues such as data gaps and biases, discusses ethics and privacy principles that must be taken into consideration when working with such sensitive data, and argues that migration studies and humanitarian response projects may benefit greatly from the use of real-time or historical mobile CDR data.
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移动数据对人员流动分析和人道主义响应的挑战
电信运营商对人类移动性有着独特的视角;在大多数情况下,他们知道客户的位置。近年来,电信运营商组织了许多倡议,其中移动通话数据记录(CDR)被仔细地匿名化、汇总,并以一种挑战的形式向研究人员开放,以提供有关人们移动和流离失所模式的新见解。一个例子是“难民数据挑战”,其组织目的是“改善土耳其境内350多万叙利亚难民的生活条件”。通常,电信运营商收集的移动电话数据集只包括在单个国家内观察到的移动模式,但通过额外的假设,也有可能深入了解跨境移动。本章提供了通过移动CDR进行流动性分析研究的历史概述,强调了数据差距和偏见等实际问题,讨论了处理此类敏感数据时必须考虑的道德和隐私原则,并认为移民研究和人道主义响应项目可能会从使用实时或历史移动CDR数据中受益匪浅。
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