Budget Optimization Model for the Digital Transformation of Moscow into a Smart City
The main directions of Moscow's strategy "Smart City – 2030" are defined in the Decree of the Government of Moscow. At the same time, the following objectives should be achieved: - ensuring sustainable growth in the quality of life of Muscovites and favorable conditions for doing bus...
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Format: | Article |
Language: | Russian |
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The Fund for Promotion of Internet media, IT education, human development «League Internet Media»
2022-12-01
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Series: | Современные информационные технологии и IT-образование |
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Online Access: | http://sitito.cs.msu.ru/index.php/SITITO/article/view/911 |
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author | Alexandr I. Bogomolov Viktor P. Nevezhin |
author_facet | Alexandr I. Bogomolov Viktor P. Nevezhin |
author_sort | Alexandr I. Bogomolov |
collection | DOAJ |
description | The main directions of Moscow's strategy "Smart City – 2030" are defined in the Decree of the Government of Moscow. At the same time, the following objectives should be achieved:
- ensuring sustainable growth in the quality of life of Muscovites and favorable conditions for doing business and other activities;
- centralized, end-to-end and transparent city management;
- improving the efficiency of public spending, including through the introduction of public-private partnerships.
The implementation of this strategy of Moscow's digital transformation into a smart city largely depends on the volume and effective allocation of budget funds for solving the goals and objectives set in it. To distribute the budget across the 6 main areas of the strategy, a hierarchical model is proposed, with the use of which the integral indicator of digital transformation would become the maximum. To solve this task, for example, data from the budget allocated for the digital transformation of Moscow in 2022 were used. The presented integrated model has shown its operability and the possibility of further development, taking into account the indications of urban automated systems and new risks in an interactive mode. The effects of external and internal risks on the implementation of the tasks set in the Strategy were studied and considered by conditional experts, whose assessments were summarized in a Bayesian trust network, the structure of which is similar to the hierarchical model. |
first_indexed | 2024-04-09T13:04:34Z |
format | Article |
id | doaj.art-38a2c6e8d08346d1935269e76a0e1a6e |
institution | Directory Open Access Journal |
issn | 2411-1473 |
language | Russian |
last_indexed | 2024-04-09T13:04:34Z |
publishDate | 2022-12-01 |
publisher | The Fund for Promotion of Internet media, IT education, human development «League Internet Media» |
record_format | Article |
series | Современные информационные технологии и IT-образование |
spelling | doaj.art-38a2c6e8d08346d1935269e76a0e1a6e2023-05-12T16:09:28ZrusThe Fund for Promotion of Internet media, IT education, human development «League Internet Media»Современные информационные технологии и IT-образование2411-14732022-12-0118484685410.25559/SITITO.18.202204.846-854Budget Optimization Model for the Digital Transformation of Moscow into a Smart CityAlexandr I. Bogomolov0https://orcid.org/0000-0003-3285-0299Viktor P. Nevezhin1https://orcid.org/0000-0002-6928-895XFinancial University under the Government of the Russian Federation, Moscow, Russia, Corresponding authorFinancial University under the Government of the Russian Federation, Moscow, RussiaThe main directions of Moscow's strategy "Smart City – 2030" are defined in the Decree of the Government of Moscow. At the same time, the following objectives should be achieved: - ensuring sustainable growth in the quality of life of Muscovites and favorable conditions for doing business and other activities; - centralized, end-to-end and transparent city management; - improving the efficiency of public spending, including through the introduction of public-private partnerships. The implementation of this strategy of Moscow's digital transformation into a smart city largely depends on the volume and effective allocation of budget funds for solving the goals and objectives set in it. To distribute the budget across the 6 main areas of the strategy, a hierarchical model is proposed, with the use of which the integral indicator of digital transformation would become the maximum. To solve this task, for example, data from the budget allocated for the digital transformation of Moscow in 2022 were used. The presented integrated model has shown its operability and the possibility of further development, taking into account the indications of urban automated systems and new risks in an interactive mode. The effects of external and internal risks on the implementation of the tasks set in the Strategy were studied and considered by conditional experts, whose assessments were summarized in a Bayesian trust network, the structure of which is similar to the hierarchical model.http://sitito.cs.msu.ru/index.php/SITITO/article/view/911smart citybudgethierarchical modelrisksbayesian trust network |
spellingShingle | Alexandr I. Bogomolov Viktor P. Nevezhin Budget Optimization Model for the Digital Transformation of Moscow into a Smart City Современные информационные технологии и IT-образование smart city budget hierarchical model risks bayesian trust network |
title | Budget Optimization Model for the Digital Transformation of Moscow into a Smart City |
title_full | Budget Optimization Model for the Digital Transformation of Moscow into a Smart City |
title_fullStr | Budget Optimization Model for the Digital Transformation of Moscow into a Smart City |
title_full_unstemmed | Budget Optimization Model for the Digital Transformation of Moscow into a Smart City |
title_short | Budget Optimization Model for the Digital Transformation of Moscow into a Smart City |
title_sort | budget optimization model for the digital transformation of moscow into a smart city |
topic | smart city budget hierarchical model risks bayesian trust network |
url | http://sitito.cs.msu.ru/index.php/SITITO/article/view/911 |
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