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(So) Big Data and the transformation of the city

The exponential increase in the availability of large-scale mobility data has fueled the vision of smart cities that will transformour lives. The truth is that we have just scratched the surface of the research challenges that should be tackled in orderto make this vision a reality. Consequently, there is an increasing interest among different research communities (rangingfrom civil engineering to computer science) and industrial stakeholders in building knowledge discovery pipelines over suchdata sources. At the same time, this widespread data availability also raises privacy issues that must be considered by bothindustrial and academic stakeholders. In this paper, we provide a wide perspective on the role that big data have in reshapingcities. The paper covers the main aspects of urban data analytics, focusing on privacy issues, algorithms, applications andservices, and georeferenced data from social media. In discussing these aspects, we leverage, as concrete examples and casestudies of urban data science tools, the results obtained in the “City of Citizens” thematic area of the Horizon 2020 SoBigDatainitiative, which includes a virtual research environment with mobility datasets and urban analytics methods developed byseveral institutions around Europe.We conclude the paper outlining the main research challenges that urban data science hasyet to address in order to help make the smart city vision a reality.


International Journal of Data Science and Analytics, 2020

IIT authors:

Type: Contributo in rivista non ISI
Field of reference: Computer Science & Engineering

File: (So) Big Data and the transformation of the city.pdf

Activity: Social Networking