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Simulation modeling of the Smart City System: The concept, methods, and cases

Vol. 15, Iss. 2, FEBRUARY 2019

Received: 6 December 2018

Received in revised form: 24 December 2018

Accepted: 18 January 2019

Available online: 15 February 2019


JEL Classification: C60, С63, C65, C88

Pages: 200–224

Makarov V.L. Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS), Moscow, Russian Federation

Bakhtizin R.A. Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS), Moscow, Russian Federation

Beklaryan G.L. Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS), Moscow, Russian Federation

Akopov A.S. Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS), Moscow, Russian Federation

Subject The research investigates key processes of urban life and its maintenance, including food supply, infrastructure, fire security, quality and accessibility of medical services, etc. The article also discusses the creation of a system supporting the Smart City decision-making process.
Objectives The research develops methods and tools to manage the Smart City system through system dynamics and agent-based modeling.
Methods Using simulation modeling, namely system dynamics and agent-based modeling (supported via Powersim and AnyLogic), we evaluate how multiple guiding parameters influence crucial characteristics of the Smart City system.
Results We devised an approach to designing the Smart City system through methods of system dynamics and agent-based modeling (supported via Powersim and AnyLogic) intended to streamline the decision making process for reasonable urban planning.
Conclusions and Relevance We propose the consolidated architecture of the Smart City decision-making system integrating the simulation models, data storage and city monitoring subsystem. The article describes the cases of simulation models implemented via Powersim and AnyLogic to support rational urban planning. The simulation models will significantly improve the quality of urban environment, satisfy the demand for food products, provide access to healthcare services and ensure effective rescue actions in case of emergency.

Keywords: simulation modeling, smart city, agent-based modeling, system dynamics


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