Various studies demonstrate that data on mobile phone use are useful when analysing problems in the fields of human activity or population dynamics, including tourism, transportation planning, public administration, etc. However, one of the biggest challenges is related to the restrictions contained in the General Data Protection Regulation that force the use of statistics about mobile operator client activities instead of allowing the analysis of mobile operator data. Therefore, a data analytics approach that does not involve information on the mobility of particular persons was developed, providing economically relevant data on aggregate mobility while protecting personal data. The activity data aggregation was conducted at 15‐min intervals in the area of each cellular base station; “activity” is defined as the number of outgoing and incoming calls and sent and received text messages (short message service or SMS) and, in some instances, as the count of unique users. The case study examines all of Latvia's municipalities, analysing the economic activity level in each municipality in comparison to the mobile phone activity in three periods: 2015–2016, 2017, and 2018. It was concluded that the economic activity in municipalities can be estimated, and positive dynamics of regional development have been detected. Such data and the data analytics method, which provides an understanding of how economic activities evolve in real time in particular locations and economic activity centres, can improve regional development planning and plan implementation. In order to assess which are the centres of economic activity in each municipality and its sphere of influence, the patterns of human commuting and fluctuations of internal activity on workdays and weekends/holidays in 2017–2018 were determined. In general, there is a shortage of reliable data on human commuting within Latvia and its specific regions; therefore, the method described here provides a practical tool for regional governments to keep track of strategy implementation and for strategic gap analysis.

中文翻译：

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手机数据统计是评估区域经济活动和通勤方式的动态代理指标

各种研究表明，使用手机的数据在分析人类活动或人口动态领域（包括旅游业，交通规划，公共管理等）中的问题时很有用。然而，最大的挑战之一与手机使用中的限制有关。通用数据保护法规，该法规强制使用有关移动运营商客户活动的统计信息，而不是允许分析移动运营商数据。因此，开发了一种不涉及特定人员流动性信息的数据分析方法，在保护个人数据的同时，提供了有关整体流动性的经济相关数据。活动数据的汇总在每个蜂窝基站区域以15分钟的间隔进行；“活动”定义为呼出和呼入以及已发送和已接收的文本消息（短消息服务或SMS）的数量，在某些情况下，还定义为唯一身份用户的数量。该案例研究考察了拉脱维亚的所有城市，并比较了三个城市（2015-2016年，2017年和2018年）的手机活动与每个城市的经济活动水平。得出的结论是，可以估算出城市的经济活动，并发现了区域发展的积极动力。这样的数据和数据分析方法可以了解特定区域和经济活动中心的经济活动如何实时发展，从而可以改善区域发展规划和计划实施。为了评估哪个城市是每个城市的经济活动中心及其影响范围，确定了2017-2018年工作日和周末/节假日的人类通勤模式和内部活动的波动。总的来说，在拉脱维亚及其特定区域内，缺乏有关人类通勤的可靠数据；因此，这里描述的方法为区域政府跟踪战略实施和战略差距分析提供了一种实用工具。