国外在经济地理研究中使用手机数据的经验

Pub Date : 2021-01-01 DOI:10.21638/spbu07.2021.301
R. Babkin
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引用次数: 1

摘要

“大数据”时代和包括移动电话数据在内的地理信息新来源的出现,从根本上为许多社会经济过程的研究提供了新的机会。与传统的统计来源相比,手机数据具有许多独特的特征和优势,吸引了来自各个知识领域的科学家。过去15年来,人们在利用技术收集和处理移动电话的空间信息方面积累了丰富的经验,这使人们对这些技术产生了兴趣,以便改进人口统计、运输规划、住区系统分析、旅游统计、人类行为研究和紧急情况监测。本文以国外的工作为例,展示了在这些领域的科学研究和应用研究中使用移动运营商数据的各种案例。国外使用移动运营商数据的实践表明,数据分析如何能够补充人口普查和人口登记的结果,使您能够从静态考虑迁移到动态考虑定居系统。将移动电话数据与传统统计数据以及遥感等其他类型的“大数据”相结合,有助于在人口和社会经济进程研究中提高地理信息的时空分辨率。同时,可以指出,这一数据来源的潜在用途不仅限于补充现有的统计指标系统,还包括创造新的社会经济指标。与此同时,长期存在的国家统计落后于欧美领先国家的问题,可以通过将“大数据”纳入研究实践,在很大程度上弥补。
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The experience of using the mobile phone data in economic geographical researches in foreign
The era of "Big data" and the emergence of new sources of geo-information, including mobile phone data, have provided fundamentally new opportunities for research on many socio-economic processes. Compared to traditional statistical sources, mobile phone data has many unique features and advantages that attract scientists from various fields of knowledge. Extensive experience in the use of technologies for collecting and processing spatial information from mobile phones over the past 15 years has led to interest in them in order to improve demographic statistics, transport planning, analysis of settlement systems, tourism statistics, study of human behavior and emergency monitoring. The article demonstrates various cases of using mobile operator data in scientific and applied research in these areas using examples of foreign works. Foreign practice of using data from mobile operators demonstrates how data analysis can complement the results of censuses and population registers, allowing you to move from static to dynamic consideration of the settlement system. The combination of mobile telephony data with traditional statistics, as well as other types of "Big data", such as remote sensing, helps to improve the spatial and temporal resolution of geo-information in the study of demographic and socio-economic processes. At the same time, it can be observed that the potential use of this data source is not limited to supplementing the system of existing statistical indicators, but includes the creation of new socio-economic indicators. At the same time, the long-standing problem of national statistics lagging behind the leading countries of Europe and the United States can be largely offset by the incorporation of "Big data" into research practice.
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