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,...
References
Al Nuaimi E, Al Neyadi H, Mohamed N, Al-Jaroodi J (2015) Applications of big data to smart cities. J Internet Serv Appl 6(1):1–15
Bejan AI, Gibbens RJ, Evans D, Beresford AR, Bacon J, Friday A (2010) Statistical modelling and analysis of sparse bus probe data in urban areas. In: 13th international IEEE conference on intelligent transportation systems, pp 1256–1263
Butler D (2010) Cities: the century of the city. Nature 467:900–901
Castro-Neto M, Jeong YS, Jeong MK, Han LD (2009) Online-svr for short-term traffic flow prediction under typical and atypical traffic conditions. Expert Syst Appl 36(3, Part 2):6164–6173
Cesario E, Talia D (2010) Using grids for exploiting the abundance of data in science. Scalable Comput: Pract Exp 11(3):251–262
Cesario E, Catlett C, Talia D (2016) Forecasting crimes using autoregressive models. In: 2016 IEEE 2nd international conference on big data intelligence and computing, pp 795–802
Cicirelli F, Guerrieri A, Spezzano G, Vinci A (2017) An edge-based platform for dynamic smart city applications. Futur Gener Comput Syst 76(C):106–118
EUP (2017) World’s population increasingly urban with more than half living in urban areas. Technical report, Urban Intergroup, European Parliament
Herrera JC, Work DB, Herring R, Ban XJ, Jacobson Q, Bayen AM (2010) Evaluation of traffic data obtained via GPS-enabled mobile phones: the mobile century field experiment. Trans Res C: Emerg Technol 18(4):568–583
Lea R (2017) Smart cities: an overview of the technology trends driving smart cities. Source:www.ieee.org
Liv (2017) The live singapore! project. Source: senseable.mit.edu/livesingapore
Ma S, Zheng Y, Wolfson O (2013) T-share: a large-scale dynamic taxi ridesharing service. In: 2013 IEEE 29th international conference on data engineering (ICDE), pp 410–421
UNR (2014) World’s population increasingly urban with more than half living in urban areas. Technical report, United Nations
Yuan NJ, Zheng Y, Zhang L, Xie X (2013) T-finder: a recommender system for finding passengers and vacant taxis. IEEE Trans Knowl Data Eng 25(10):2390–2403
Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J 1(1):22–32
Zheng Y, Capra L, Wolfson O, Yang H (2014) Urban computing: concepts, methodologies, and applications. ACM Trans Intell Syst Technol 5(3):38:1–38:55
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this entry
Cite this entry
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-63962-8_140-1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-63962-8
Online ISBN: 978-3-319-63962-8
eBook Packages: Springer Reference MathematicsReference Module Computer Science and Engineering
Publish with us
Chapter history
-
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
-
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