Privacy-Aware Data Gathering for Urban Analytics

  • Miguel Nunez-del-PradoEmail author
  • Bruno Esposito
  • Ana Luna
  • Juandiego Morzan
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 795)


Nowadays, there are a mature set of tools and techniques for data analytics, which help Data Scientists to extract knowledge from raw heterogeneous data. Nonetheless, there is still a lack of spatiotemporal historical dataset allowing to study everyday life phenomena, such as vehicular congestion, press influence, the effect of politicians comments on stock exchange markets, the relation between food prices evolution and temperatures or rainfall, social structure resilience against extreme climate events, among others. Unfortunately, few datasets are combining from different sources of urban data to carry out studies of phenomena occurring in cities (i.e., Urban Analytics). To solve this problem, we have implemented a Web crawler platform for gathering a different kind of available public datasets.


Privacy Data collection Urban analytics Open data 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Universidad del PacíficoLimaPeru

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