Beyond the “single-operator, CDR-only” paradigm: An interoperable framework for mobile phone network data analyses and population density estimation

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• 作者：Fabio Ricciato^a ; ^{fabio.ricciato@fri.uni-lj.si} ; Peter Widhalm^b ; ^{peter.widhalm@ait.ac.at} ; Francesco Pantisano^c ; ^{francesco.pantisano@jrc.ec.europa.eu} ; Massimo Craglia^c ; ^{massimo.craglia@ec.europa.eu}
• 关键词：Mobile network data ; Interoperability ; Augmenting official statistics
• 刊名：Pervasive and Mobile Computing
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：35
• 期：Complete
• 页码：65-82
• 全文大小：6727 K
• 卷排序：35

文摘

We address the problem of estimating the population density from mobile phone data. After critically examining the relevant network-based data sources (CDR, VLR and passive monitoring systems) a novel methodology is presented with two key novelties. First, it enables the fusion of cell-level and Location Area-level data from heterogeneous data sources. Second, it considers a novel tessellation scheme based on cell coverage maps, instead of cell tower locations. Furthermore, it allows to integrate data from different network operators onto a common reference grid. Within the proposed framework, a Maximum-Likelihood formulation for the population density estimation problem is developed and tested via simulations, showing a significant gain over existing Voronoi-based schemes.