To date, there is no doubt about the need and possibilities of using large amounts of information. So called “Big Data" technology is used in a variety of areas, and urban planning is no exception. The article discusses how to use large amounts of information for a competent design of social and engineering urban networks in the interests of cities residents while preserving historical appearance of cities. The proposed hypothesis states that urban planning can transition to a new higher level with the introduction of "Big Data" technology based on the concept of "Smart City", which not only makes the life of residents comfortable, but also allows making timely adjustments to one or other urban process with the purpose of its improvement. Additionally, possible approaches of the concept implementation and their applicability under various conditions are discussed. The article analyzes the experience of Smart City concept implementation as a part of "Big Data" technologies in practice of a number of European cities. Important positive results of such implementation are noted. The role and place of each of the parties interested in sustainable development of the city, in the development of intellectual systems for managing this development is discussed. In particular, a lot of attention is paid to the role of the state as the initiator and coordinator of interaction between the parties, the main holder and user of data, services and infrastructure. It is concluded that the potential built into the "Big Data" technology will allow us to move to a new level of urban planning, based on real urban data collected by various technical means.
Organization of work takes a significant place among the basic tasks of the construction industry. The organization of repair and construction works (R-CW) is especially important, since they have specific features in comparison with new construction. Today, information technologies are actively developing, which make significant changes in various industries, including construction. One of the progressive technologies today is the analysis of “big data”. This article outlines the basic concept of using “big data” in the organization of R-CW, which makes it possible to increase the efficiency of organizational decisions, based on the characteristics of a particular repair and construction organization. The methodology proposed by the authors, aimed at the implementation of this concept, includes the solution of a number of tasks, such as assessing organizational decisions that are developed within the framework of a work production project, determining the level of organizational and technological reliability (OTR) and, as a consequence, choosing the best solution. As a tool for the implementation of the above tasks, the authors use a simulation model that makes it possible to simulate the process of performing repair and construction work, taking into account the random nature of their duration. The authors describe the experience of using the proposed methodology in the practice of functioning of one of the Russian construction organizations.
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