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National Interests: Priorities and Security
 

The matrix of smart city indicators

Vol. 16, Iss. 8, AUGUST 2020

Received: 1 June 2020

Received in revised form: 18 June 2020

Accepted: 5 July 2020

Available online: 14 August 2020

Subject Heading: NATIONAL INTERESTS

JEL Classification: R11, R58

Pages: 1422–1443

https://doi.org/10.24891/ni.16.8.1422

Popov E.V. Ural Institute of Management, Branch of RANEPA, Yekaterinburg, Russian Federation
epopov@mail.ru

https://orcid.org/0000-0002-5513-5020

Semyachkov K.A. Ural Institute of Management, Branch of RANEPA, Yekaterinburg, Russian Federation
k.semyachkov@mail.ru

https://orcid.org/0000-0003-0998-0183

Subject. The article discusses the approaches to evaluating the evolution of smart cities.
Objectives. We unfold methodological approaches to evaluating the evolution of smart cities.
Methods. A system logic analysis is the main method of research. The theoretical underpinning comprises proceedings by foreign scholars, organizations and technological companies, which evaluate the urban digitalization, devise tools to study its impact on socio-economic and environmental properties of modern cities.
Results. Having analyzed the existing approaches, we discovered three types of such methods. First, approaches examining some constituents of smart cities. Second, examining levels or phases of smart city development. Third, some specific aspects to study the development of smart cities. Sorting out the approaches, we propose our own approach that concurrently studies constituents of smart cities and their development phases. Thus, metrics of smart city development help evaluate some aspects of smart cities and the evolution of the processes.
Conclusions and Relevance. To monitor the performance of projects and initiatives, smart city development metrics should be measurable and give a fair view of the digitalization processes in the urban environment, considering interests of all stakeholders.

Keywords: smart city, digital economy, municipal economy, spatial development, regional economy

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