title: ÐÐ¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ ÑÐ°ÑÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð±ÑÐ´Ð¶ÐµÑÐ° ÑÑÑÐ°ÑÐµÐ³Ð¸Ð¸ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ ÑÑÐ°Ð½ÑÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ ÐÐ¾ÑÐºÐ²Ñ Ð² ÑÐ¼Ð½ÑÐ¹ Ð³Ð¾ÑÐ¾Ð´ Ñ ÑÑÑÑÐ¾Ð¼ Ð²Ð½ÐµÑÐ½Ð¸Ñ Ð¸ Ð²Ð½ÑÑÑÐµÐ½Ð½Ð¸Ñ ÑÐ¸ÑÐºÐ¾Ð²
title: Optimizing the budget allocation of Moscowâs digital transformation strategy into a smart city, taking into account external and internal risks
Creators: name: ÐÐ¾Ð³Ð¾Ð¼Ð¾Ð»Ð¾Ð², ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
name: ÐÐµÐ²ÐµÐ¶Ð¸Ð½, ÐÐ¸ÐºÑÐ¾Ñ
name: "Ð¡Ð¸ÑÑÐµÐ¼Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð² Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ð¸ Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ð¸", Ð¼ÐµÐ¶Ð´ÑÐ½Ð°ÑÐ¾Ð´Ð½Ð°Ñ Ð½Ð°ÑÑÐ½Ð¾-Ð¿ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ°Ñ ÐºÐ¾Ð½ÑÐµÑÐµÐ½ÑÐ¸Ñ (26; 2022; Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³)
Publisher: name: ÐÐÐÐÐ¢ÐÐ¥-ÐÐ ÐÐ¡Ð¡
Year: 2023
Subjects: ÑÐµÑÑ Ð´Ð¾Ð²ÐµÑÐ¸Ñ ÐÐ°Ð¹ÐµÑÐ°
ÑÐ¼Ð½ÑÐ¹ Ð³Ð¾ÑÐ¾Ð´
Ð±ÑÐ´Ð¶ÐµÑ
ÑÐ¸ÑÑÐ¾Ð²Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ
Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½Ð¾ÑÑÑ
ÐºÐ¸Ð±ÐµÑÐ±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÑ
ÑÐ¸ÑÐºÐ¸
Bayesian trust network
smart city
budget
digital model
mobility
cybersecurity
risks

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description: The implementation of the strategy of Moscowâs digital transformation into a smart city largely depends on the effective allocation of budget funds to solve the tasks set out in this strategy. The main directions of Moscowâs strategy âSmart City â 2030â are defined in the Decree of the Government of Moscow. At the same time, the goals of the Moscow Smart City 2030 strategy should be achieved: 1) ensuring sustainable growth in the quality of life of Muscovites and favorable conditions for doing business and other activities; 2) centralized, end-to-end and transparent city management; 3) improving the efficiency of public spending, including through the introduction of public-private partnerships; 4) the paper proposes a hierarchical model the budget allocation for the main 6 directions (which, in turn, are divided into sublevels) of the strategy in such a way that the integral indicator of digital transformation becomes maximum. The effects of external and internal risks on the implementation of the tasks set in the Strategy were considered by conditional experts, whose assessments were summarized in a Bayesian trust network, the structure of which is similar to the hierarchical model. As an example of solving the task, data on the budget of Moscow allocated for the digital transformation of the city in 2022 were used. The integrated model showed its efficiency and ability to develop, taking into account the indications of city automated systems and new risks in an interactive mode.