France Through the Lens of Mobile Traffic Data

Orlando Martínez-Durive, Sachit Mishra, Cezary Ziemlicki, S. Rubrichi, Z. Smoreda, M. Fiore
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引用次数: 0

Abstract

Mobile usage data have shown unprecedented potential for data-driven research in various fields such as demography, sociology, geography, urban studies, criminology, and engineering. However, the lack of reference datasets limits research methods, results, verifiability, and reproducibility of outcomes hindering innovation opportunities. We release a novel mobile usage dataset offering a rare opportunity for the multidisciplinary research community to access rich mobile data of the spatiotemporal consumption of mobile applications in a developed country. The generation process of the dataset forms a new quality standard, leading to information about the demands generated by 68 popular mobile services, geo-referenced at a high resolution of $100\times 100\ \mathrm{m}^{2}$ over 20 metropolitan areas in France and monitored during 77 consecutive days in 2019.
从移动通信数据的角度看法国
手机使用数据在人口统计学、社会学、地理学、城市研究、犯罪学和工程学等各个领域显示出前所未有的数据驱动研究潜力。然而,缺乏参考数据集限制了研究方法、结果、可验证性和结果的可重复性,阻碍了创新机会。我们发布了一个新的移动使用数据集,为多学科研究界提供了一个难得的机会,可以访问发达国家移动应用程序的时空消费的丰富移动数据。该数据集的生成过程形成了一种新的质量标准,可以获得68种流行移动服务产生的需求信息,以100 × 100的高分辨率在法国20个大都市地区进行地理参考,并在2019年连续77天进行监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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