Smart City Gnosys

Smart city article details

Title	Modelling E-Waste Management Data In Smart Cities
ID_Doc	37675
Authors	De Novais M.P.; De Almeida Xavier V.; Xavier L.H.; Hwang J.
Year	2021
Published	2021 2nd Sustainable Cities Latin America Conference, SCLA 2021
DOI	http://dx.doi.org/10.1109/SCLA53004.2021.9540096
Abstract	The smart cities concept is strongly related to energy efficiency and low carbon patterns, what that refers to meeting the sustainability criteria established by regulatory mechanisms. The Smart City Index (SCI) data can reach a higher quality of living by observing aspects as mobility, health, safety, transparency, smart management, and many others, like the waste management. Thus, this set of indicators was used to evaluate the e-waste management as an emergent challenge in urban cities, providing both, the generation of waste from the intense consumption of electronic devices, as well meeting the questions arising from urbanization from the integration of digital solutions. This study proposes a model of analysis using simple linear regression and k-mean clustering as correlation methods. The findings suggested correlation between the SCI ranking, the E-waste generated, and the economic situation of the entire set of smart cities. Nevertheless, it was found weak correlation for the best rated cities. The results provided the perception that it is possible to identify correlation from the Smart City Index and aspects from the e-waste management system, enabling the discussion over the importance of next smart city indexes and given a new perspective to the e-waste management. © 2021 IEEE.
Author Keywords	correlation; e-waste; environmental management; smart cities

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