新冠疫情具有空间特性：确保移动大数据用于社会公益。
COVID-19 is spatial: Ensuring that mobile Big Data is used for social good.
作者信息
Poom Age, Järv Olle, Zook Matthew, Toivonen Tuuli
机构信息
Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland.
Helsinki Institute of Sustainability Science, Institute of Urban and Regional Studies, University of Helsinki, Helsinki, Finland.
出版信息
Big Data Soc. 2020 Aug 27;7(2):2053951720952088. doi: 10.1177/2053951720952088. eCollection 2020 Jul.
The mobility restrictions related to COVID-19 pandemic have resulted in the biggest disruption to individual mobilities in modern times. The crisis is clearly spatial in nature, and examining the geographical aspect is important in understanding the broad implications of the pandemic. The avalanche of mobile Big Data makes it possible to study the spatial effects of the crisis with spatiotemporal detail at the national and global scales. However, the current crisis also highlights serious limitations in the readiness to take the advantage of mobile Big Data for social good, both within and beyond the interests of health sector. We propose two strategical pathways for the future use of mobile Big Data for societal impact assessment, addressing access to both raw mobile Big Data as well as aggregated data products. Both pathways require careful considerations of privacy issues, harmonized and transparent methodologies, and attention to the representativeness, reliability and continuity of data. The goal is to be better prepared to use mobile Big Data in future crises.
与新冠疫情相关的出行限制导致了现代社会个人出行受到的最大干扰。这场危机本质上显然具有空间性，审视其地理层面对于理解疫情的广泛影响至关重要。海量的移动大数据使得在国家和全球尺度上以时空细节研究危机的空间效应成为可能。然而，当前的危机也凸显了在利用移动大数据造福社会方面，无论是在卫生部门内部还是外部，都存在严重的准备不足问题。我们提出了两条未来利用移动大数据进行社会影响评估的战略途径，涉及获取原始移动大数据以及汇总数据产品。这两条途径都需要仔细考虑隐私问题、统一且透明的方法，并关注数据的代表性、可靠性和连续性。目标是为未来危机中更好地利用移动大数据做好准备。
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