E3S Web Conf.
Volume 301, 2021VI International Scientific Conference “Territorial Inequality: a Problem or Development Driver” (REC-2021)
|Number of page(s)||9|
|Section||Sustainable Regional Development Through Digitalization|
|Published online||06 August 2021|
Urban infrastructure via Big Data
1 University of California, 303 Giannini Hall, CA 94720, Berkeley, United States
2 Russian State Social University, 4/1 Wilhelm Pik str, Moscow, 129226, Russian Federation
* Corresponding author: email@example.com
Our paper focuses on factors that help to successfully and efficiently manage urban infrastructure in large cities and centres using Big Data solutions. We explain the key points about urban Big Data approaches, including infrastructure that supports urban governance, public services and economic and industrial development, taking into account and supporting the central role of urban Big Data in urban intelligence with particular emphasis on the smart cities. Moreover, we want to add a third dimension to social urban data analysis by assessing the use of social, spatial, and temporal data for key issues to understand how it can influence human behaviour across time and space. Our results might have important implications for urban planners and policy-makers and contribute to the mitigating the regional inequalities as well as to improving urban infrastructure and making the cities of the future happier and healthier places for all their citizens.
Key words: urban infrastructure / Big Data / area planning / sustainable development
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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