Open AccessInnovative programming product for work architect-urbanist with Big Data of city
Author(s) -
Oksana Fomenko,
Serhiy Danylov,
Mykhaylo Izbash,
Andrii Izbash
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1203/2/022021
Subject(s) - task (project management) , computer science , product (mathematics) , state (computer science) , work (physics) , research program , process management , big data , operations research , management science , systems engineering , engineering management , engineering , operating system , mechanical engineering , geometry , mathematics , philosophy , epistemology , algorithm
The article substantiates the necessity of creating an innovative programming product "Program complex for modelling the city as a dynamic system". The methodological basics of writing a technical task as the basis for the complex development are described. The aspects of its use as a tool for information support of strategic decision-making processes related to the transition of the city to an intensive type of development are disclosed. The purpose of the program complex: information support for strategic decision-making processes to optimize the principles of the city. The purpose of the program complex is to analyze the processes of city functioning as a complex dynamic system. In this case, it is possible to diagnose the current state of the city as a system in real-time, the state of its subsystems and elements, as well as to predict changes in the dynamic processes of their functioning. The specified program package is based on a combination of two trends in modern science: optimization of the city functioning processes and management of large arrays of city data (Big Data). The Program simulates positive and negative dynamics of the transition of the city, its subsystems and individual elements from a state of stability to crisis and a possible pre-catastrophic state.