| Issue |
E3S Web of Conf.
Volume 531, 2024
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2024)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 12 | |
| Section | Electric Mobility, Decarbonizing Energy Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202453102003 | |
| Published online | 03 June 2024 | |
Improvement of the methodology for analyzing the urban environment quality management with the use of smart technologies
1 Kazan State Agrarian University, 65, Karl Marx str., 420015, Kazan, Russia
2 Kazan (Volga region) Federal University, 18, Kremlevskaya str., 420008, Kazan, Russia
3 Udmurt State Agricultural University, 11, Studencheskaya str., 426069, Izhevsk, Russia
* Corresponding author: zakirovaar@mail.ru
The process of integrating digital technologies into urban spaces is inherently linked to scientific and technological progress. Providing effective urban services through the wide introduction of innovative technologies becomes a priority not only for local authorities, but also for state development programs. The article presented the author's methodology for analyzing the management of urban environment quality with the use of smart technologies, based on the calculation of the integral index of urban environment quality on the basis of statistical data, both non-digital and digital, reflecting various aspects of the modern urban environment. The author's methodology includes the use of three key methods: a comparative analysis of research objects based on the calculation of the integral index of urban environment quality; a sociological survey of residents of a million-strong city on the attractiveness and comfort of living in a particular area of the municipality (taking into account the issues of digitalization of certain areas of the urban environment); a comprehensive analysis of municipal programs for the development of various areas of the urban environment.
© The Authors, published by EDP Sciences, 2024
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.