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Big Data Analysis for Smart City Applications

Encyclopedia of Big Data Technologies

Introduction

The twenty-first Century is frequently referenced as the “Century of the City”, reflecting the unprecedented global migration into urban areas that is happening nowadays (Butler 2010; Zheng et al. 2014). As a matter of fact, the world is rapidly urbanizing and undergoing the largest wave of urban growth in history. In fact, according to a United Nations report, urban population is expected to grow from 2.86 billion in 2000 to 4.98 billion in 2030 (UNR 2014): this translates to roughly 60% of the global population living in cities by 2030.

Such a steadily increasing urbanization has been leading to many big cities and bringing significant social, economic and environmental transformations. On the one hand it is modernizing people’s lives and giving increased opportunities offered in urban areas, on the other hand it is engendering big challenges in city management issues, such as large-scale resource planning, increased energy consumption, traffic congestion, air pollution,...

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Correspondence to Eugenio Cesario .

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Cesario, E. (2018). Big Data Analysis for Smart City Applications. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_140-1

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  • DOI: https://doi.org/10.1007/978-3-319-63962-8_140-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63962-8

  • Online ISBN: 978-3-319-63962-8

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Chapter history

  1. Latest

    Big Data Analysis of Spatio-Temporal Urban Data for Smart City Applications
    Published:
    25 February 2022

    DOI: https://doi.org/10.1007/978-3-319-63962-8_140-2

  2. Original

    Big Data Analysis for Smart City Applications
    Published:
    05 February 2018

    DOI: https://doi.org/10.1007/978-3-319-63962-8_140-1