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The Silence of the Cantons: Estimating Villages Socioeconomic Status Through Mobile Phones Data

机译:沉默的州:通过手机数据估算村庄的社会经济地位

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The use of cellphones has deeply influenced the way how people communicate and live everyday. Because of mobile phones ubiquity, the geolocated information recorded by every activity carried on with them has been used in numerous studies in topics related to human mobility and their relation with socioeconomic indicators. Socioeconomic indicators like health, education and poverty provide insights about the welfare of a region. Subsequently, such geolocated records with their inherent fine granularity are key for a local government in order to take decisions over a region and promote their development. Analysis of CDRs to approximate these indicators has been mainly done over developed and emerging countries like India and Brazil, but there is still a lack of studies over countries in means of development. In the present study, we propose a method to predict three socioeconomic indices at a high granularity, in the context of a developing country. Our study uses the volume of mobile phones calls and SMS (Short Message Service) messages located in a province of Ecuador over different periods of time. Our results demonstrate that activities from mobile phones are an effective and accessible input for determining the economic status of a developing country's canton. We show that a high mobile phones activity frequency is linked to a population with higher incomes and education level.
机译:手机的使用已深刻影响着人们日常交流和生活的方式。由于移动电话无处不在,因此与移动性及其与社会经济指标的关系相关的许多研究都使用了与移动电话进行的每项活动所记录的地理位置信息。健康,教育和贫困等社会经济指标为该地区的福利提供了见识。随后,具有固有的精细粒度的此类地理位置记录对于地方政府来说至关重要,以便在整个区域做出决策并促进其发展。对CDR进行近似这些指标的分析主要是在发达国家和新兴国家(如印度和巴西)中进行的,但是仍然缺乏对国家在发展方式上的研究。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。在本研究中,我们提出了一种在发展中国家的背景下以高粒度预测三个社会经济指标的方法。我们的研究使用了厄瓜多尔省不同时期的移动电话呼叫量和SMS(短消息服务)消息量。我们的结果表明,通过手机进行的活动是确定发展中国家州经济状况的有效且可访问的输入。我们表明,高手机活动频率与收入和教育水平较高的人群有关。

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