基于移动终端位置数据的企业线下复工水平测算方法研究

Measuring Enterprise’s Offline Resumption with Mobile Device Positioning Data

【目的】为更加及时、有效地量化测算突发公共事件后企业线下复工水平,提供可量化的数据结果支撑相关政策制定和落地实施。【方法】采用人工与自动化相结合的POI围栏圈定策略,获取931个样本区域内移动终端数量;基于企业生产经营范围内的移动终端位置数量测算复工水平;结合事实和相关数据对测算结果进行验证。【结果】2020年春节假期结束后初期,全国样本企业平均复工水平约为2019年同期的三成;截止到2020年2月底,样本企业已有约半数员工线下返回工作岗位。【局限】实验样本数量相对较少,且数据分析维度有限。【结论】本研究所提方法符合突发公共事件后对复工水平动态监测的需要,测算结果有效性得到初步验证。

[Objective] This paper quantifies the offline resumption level after public emergencies, aiming to provide data support for making and implementing policies. [Methods] First, we used manual and automated POI fence delineation strategies to obtain the number of mobile devices in 931 areas. Then, we measured the offline resumption levels based on the number of mobile devices within each company’s physical settings. Finally, we evaluated the measurements with facts and related data. [Results] We found that for days immediately following the Spring Festival 2020, the average level of offline resumption in the sampled companies was about 30% of that of the same period in 2019. At the end of February 2020, about half of the employees from the sampled companies returned to work offline. [Limitations] The sample size needs to be expanded. [Conclusions] The proposed method could dynamically monitoring offline work resumption after public emergencies.