首页> 外文会议>IEEE International Conference on Pervasive Computing and Communications >Understanding the unobservable population in call detail records through analysis of mobile phone user calling behavior: A case study of Greater Dhaka in Bangladesh
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Understanding the unobservable population in call detail records through analysis of mobile phone user calling behavior: A case study of Greater Dhaka in Bangladesh

机译:了解通过对移动电话用户呼叫行为的分析来了解呼叫详细记录中的不可观察人口:孟加拉国大达卡的一个案例研究

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The understanding of mass population movements has greatly advanced with the rapid spread of ubiquitous devices. Anonymized call detail records (CDRs) for mobile phones have enabled us to not only trace individual trajectories but also approximate activity patterns, including significant locations such as homes and workplaces. The majority of studies analyzing CDRs attempt to utilize the mobility patterns of anonymized crowds to improve transportation and public health. This is quite reasonable because CDRs can capture the movements of people at given times and places, whereas general statistics usually account for a population based on their locations of residence. However, it has also been pointed out that there are discrepancies between the movements of people as observed through CDRs and those of an entire population in a given area. This is because CDRs only represent device users. In fact, we can never learn about the population that is unobservable through CDRs only by analyzing CDRs. Therefore, this study attempts to provide clues to help us understand the whereabouts of the unobservable population by analyzing two months of the CDRs for 58 volunteers with mobile device service from a major telecommunications company in combination with field survey data from Dhaka. We surveyed the personal and household attributes of mobile users in relation to their calling behavior. The analysis results show that per mobile user observed in CDRs, there is an average of roughly 2.4 to 2.8 unobservable people. Their age groups and gender composition are also provided. We find that male and female users exhibit opposite trends in call locations according to the presence of children within the household. In addition, based on field observations, we find that the location and time distributions of small children follow some specific routines. Our findings contribute to the understanding of the whereabouts of the unobservable population, the majority of whom are children and a- e considered to be vulnerable to disasters or infectious diseases but are difficult to locate through CDRs alone.
机译:对大规模人口运动的理解具有普遍存在的设备的快速传播。用于移动电话的匿名呼叫详细信息记录(CDR)使我们不仅可以跟踪单个轨迹,还使各个轨迹还有近似活动模式,包括大型位置,如家庭和工作场所。分析CDR的大多数研究试图利用匿名人群的流动模式来改善运输和公共卫生。这是相当合理的,因为CDR可以在给定的时间和地点捕获人们的运动,而一般统计通常占据基于其居住地的人口。但是,还有指出的是,通过CDR观察到通过CDR和给定区域中的整个人口的运动之间存在差异。这是因为CDR仅代表设备用户。事实上,我们永远无法通过分析CDR来了解通过CDRS不可观察的人口。因此,这项研究试图提供线索,帮助我们通过分析来自一家主要电信公司的移动设备服务的58名志愿者,与达卡的现场调查数据相结合,帮助我们通过分析58名志愿者的CDR来了解不可观察人口的下落。我们调查了移动用户的个人和家庭属性与他们的呼叫行为相关。分析结果表明,每个移动用户在CDR中观察到,平均约为2.4至2.8个不可观察的人。还提供了他们的年龄组和性别组合。我们发现,男性和女性用户根据家庭内的儿童的存在,展示了呼叫位置的相反趋势。此外,基于现场观察,我们发现小孩子的位置和时间分布遵循一些特定的例程。我们的调查结果有助于了解不可观察人口的下落,其中大多数是儿童和A-E被认为容易受到灾害或传染病的影响,但很难独自通过CDR定位。

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