2020
Journal article
Open Access
(So) Big Data and the transformation of the city
Andrienko G., Andrienko N., Boldrini C., Caldarelli G., Cintia P., Cresci S., Facchini A., Giannotti F., Gionis A., Guidotti R., Mathioudakis M., Muntean C. I., Pappalardo L., Pedreschi D., Pournaras E., Pratesi F., Tesconi M., Trasarti R.
SYSTEM HM SoBigData URBAN METABOLISM QA75 Modelli e Metodi Matematici THINGS DATA Computer Science Applications Big data Modeling and Simulation ENERGY INTERNET Information Systems NETWORKS mining Urban data science PREDICTION Computational Theory and Mathematics Settore FIS/02 - Fisica Teorica DEMAND Mobility datasets SOCIAL MEDIA 113 Computer and information sciences Applied Mathematics social media analysis
The exponential increase in the availability of large-scale mobility data has fueled the vision of smart cities that will transform our lives. The truth is that we have just scratched the surface of the research challenges that should be tackled in order to make this vision a reality. Consequently, there is an increasing interest among different research communities (ranging from civil engineering to computer science) and industrial stakeholders in building knowledge discovery pipelines over such data sources. At the same time, this widespread data availability also raises privacy issues that must be considered by both industrial and academic stakeholders. In this paper, we provide a wide perspective on the role that big data have in reshaping cities. The paper covers the main aspects of urban data analytics, focusing on privacy issues, algorithms, applications and services, and georeferenced data from social media. In discussing these aspects, we leverage, as concrete examples and case studies of urban data science tools, the results obtained in the "City of Citizens" thematic area of the Horizon 2020 SoBigData initiative, which includes a virtual research environment with mobility datasets and urban analytics methods developed by several institutions around Europe. We conclude the paper outlining the main research challenges that urban data science has yet to address in order to help make the smart city vision a reality.
Source: International Journal of Data Science and Analytics (Print) 1 (2020). doi:10.1007/s41060-020-00207-3
Publisher: Springer
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BibTeX entry
@article{oai:it.cnr:prodotti:424949,
title = {(So) Big Data and the transformation of the city},
author = {Andrienko G. and Andrienko N. and Boldrini C. and Caldarelli G. and Cintia P. and Cresci S. and Facchini A. and Giannotti F. and Gionis A. and Guidotti R. and Mathioudakis M. and Muntean C. I. and Pappalardo L. and Pedreschi D. and Pournaras E. and Pratesi F. and Tesconi M. and Trasarti R.},
publisher = {Springer},
doi = {10.1007/s41060-020-00207-3},
journal = {International Journal of Data Science and Analytics (Print)},
volume = {1},
year = {2020}
}CNR authors
Boldrini, Chiara
Cintia, Paolo
0000-0002-8085-9338
Cresci, Stefano
Facchini, Angelo
Guidotti, Riccardo0000-0002-2827-7613
Muntean, Cristina Ioana0000-0001-5265-1831
Pappalardo, Luca0000-0002-1547-6007
Pedreschi, Dino0000-0003-4801-3225
Pratesi, Francesca0000-0002-4260-4473
Tesconi, Maurizio
Trasarti, Roberto0000-0001-5316-6475
Knowledge Discovery and Data Mining (2002-ongoing)
High Performance Computing (2002-ongoing)
CNR ExploRA
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