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Author (up) Salat, H.; Smoreda, Z.; Schlapfer, M. url  doi
  Title A method to estimate population densities and electricity consumption from mobile phone data in developing countries Type Journal Article
  Year 2020 Publication PloS one Abbreviated Journal PLoS One  
  Volume 15 Issue 6 Pages e0235224  
  Keywords Remote Sensing  
  Abstract High quality census data are not always available in developing countries. Instead, mobile phone data are becoming a popular proxy to evaluate the density, activity and social characteristics of a population. They offer additional advantages: they are updated in real-time, include mobility information and record visitors' activity. However, we show with the example of Senegal that the direct correlation between the average phone activity and both the population density and the nighttime lights intensity may be insufficiently high to provide an accurate representation of the situation. There are reasons to expect this, such as the heterogeneity of the market share or the particular granularity of the distribution of cell towers. In contrast, we present a method based on the daily, weekly and yearly phone activity curves and on the network characteristics of the mobile phone data, that allows to estimate more accurately such information without compromising people's privacy. This information can be vital for development and infrastructure planning. In particular, this method could help to reduce significantly the logistic costs of data collection in the particularly budget-constrained context of developing countries.  
  Address Future Cities Laboratory, Singapore-ETH Centre, ETH Zurich, Singapore, Singapore  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1932-6203 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:32603345 Approved no  
  Call Number GFZ @ kyba @ Serial 3030  
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