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Smart city model based on systems theory

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  • Lom, Michal
  • Pribyl, Ondrej

Abstract

While there are several partial solutions to model some aspects of cities (e.g. transportation or energy), there is no framework allowing modelling of a complex system such as a city. This paper aims on providing a solution that can be used by practitioners to model impact of different scenarios and smart city projects encapsulating different subsystems, such as transportation, energetics or, for example, eGovernment. The term “smart cities” is classified into Systems Theory, particularly focusing on Cyber-Physical Systems. This classification is further elaborated to define a new term, so-called Smart City Agent (SCA). The SCA is considered as the main building block for modelling smart cities. The approach within this paper however stresses the interconnection of different systems within a city. Its’ strength is in better exchange of data and among heterogeneous agents. This information management approach is the missing key in the growing market of partial smart city solutions as it will allow simulation of solutions in complex systems such as a city. The suitability of usefulness of the proposed approach is demonstrated on a use case dealing with charging of electrical vehicles. The results show that the approach is suitable for modelling of dynamic behaviour.

Suggested Citation

  • Lom, Michal & Pribyl, Ondrej, 2021. "Smart city model based on systems theory," International Journal of Information Management, Elsevier, vol. 56(C).
    • Handle: RePEc:eee:ininma:v:56:y:2021:i:c:s0268401219301811
    DOI: 10.1016/j.ijinfomgt.2020.102092
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    Citations

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    Cited by:

    1. Johan Reimon BATMETAN & Quido C. KAINDE, 2022. "Understanding Smart City Strategy In Developing Countries’ Cities," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 17(3), pages 71-88, August.
    2. Xing, Yunfei & Wang, Xiwei & Qiu, Chengcheng & Li, Yueqi & He, Wu, 2022. "Research on opinion polarization by big data analytics capabilities in online social networks," Technology in Society, Elsevier, vol. 68(C).
    3. Congyu Zhao & Kangyin Dong & Farhad Taghizadeh-Hesary, 2023. "Can smart transportation enhance green development efficiency?," Economic Change and Restructuring, Springer, vol. 56(2), pages 825-857, April.

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