«Умный город» как новый этап городского развития
TL;DR: In this paper, the authors describe the structure of a smart city, its most important and inalienable elements, their functions, and the key ways to implement the smart city concept.
Abstract: Historically, the outstanding role of cities in the spatial organization of the state is to create reference points for the spatial development of the economy. «Smart City» is a new kind of city that provides sustainable growth and stimulates high-tech economic activity, thus reducing the burden on the environment and improving the quality of life of the population. To be effeciently modernized the Russian economy requires the concentration of resources and the formation of strong points of «smart» economic growth with a certain industry specialization throughout the country. The article is devoted to research the approaches and best practices of application of the concept of «smart city», allowing to increase the efficiency of various parts of city infrastructure, which in turn become the motor and the core of innovative technologies introduction. Presented are conceptual and practical approaches to understanding the category of «smart city» and its interpretation in the modern world. The paper describes the structure of the «smart city», its most important and inalienable elements, their functions. In the course of the research, world examples of the «smart cities» development, the introduction of «smart» technologies, as well as the most successful projects and smart solutions in Russian practice were analyzed. Key success factors, existing requirements and possible prospects for the development of the considered concept were identified. It is concluded that it is advisable to introduce the technologies in Moscow and St. Petersburg. The preliminary rating of «smart cities» of Russia is considered, their strong and weak points are highlighted. In the context of international experience of different countries and economic systems, conclusions are drawn about the key ways to implement the «smart city» concept.
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23 Feb 2020
TL;DR: The performed research confirms the expedience of development and implementation of the concept of “smart” city in Russia, which conforms to the global trend and is confirmed by the positive practical experience of application of such technologies.
Abstract: The purpose of the work is to study the digital infrastructure of “smart” cities, substantiate the models of financing of the digital infrastructure of a “smart” city, and to develop recommendations for development of a payment system as an important tool of this infrastructure. The authors use the methods of bibliographic analysis, logical analysis, synthesis, systemic approach, and analysis of factual and planned data of the Moscow budget. Results: 1. Tendencies of development of the digital infrastructure of a “smart” city are determined, and expedience of creation of a city payment system as a tool of digital infrastructure is shown. 2. Social significance of such payment system is shown and the main requirements to it are formulated. 3. The models of financing of the digital infrastructure of a “smart” city with attraction of the assets of the budget, private business, and population are substantiated. The obtained results allowed offering the creation of a one—rank payment system in the trusted environment of a city with application of the blockchain technology and approbating it as a test project in Moscow within implementation of the strategy of Moscow “Smart city – 2030”, which will allow connecting all organizations that provide services for payments and using and developing new methods of payment. The performed research confirms the expedience of development and implementation of the concept of “smart” city in Russia, which conforms to the global trend and is confirmed by the positive practical experience of application of such technologies. This experience could become popular in Russia, helping to solve macro-economic problems in a lot of spheres.
1 citations
01 May 2021
TL;DR: In this paper, the authors discuss current and future-proof approaches to working with dynamically linked data using graph analysis models in real-time systems, and present a set of graph-based approaches for building complex and varied relationships between objects and subjects of the real world.
Abstract: In connection with the wide spreading of various intelligent sensors, IoT devices, smartphones, autonomous transport systems, various industrial and home automation systems, an unprecedented amount of data is generated, including those intelligently linked to each other. Linked data allows you to build complex and varied relationships between objects and subjects of the real world. Unfortunately, modern big data processing systems and machine learning models are extremely poorly suited for working with such dynamically linked data, especially in the case of real-time systems. We discuss current and future-proof approaches to working with such data using graph analysis models.