Smart city perspectives in post-pandemic governance: Externalities reduction policy

Olga Vladimirovna Kalinina; Sergey Evgenievich Barykin; Sergey Mikhailovich Sergeev; Galina NikolaevnaSemenova; Alina Fatkullina; Alexey Mikhaylov; Elena De La Poza Plaza

doi:10.12688/f1000research.123195.1

Smart city perspectives in post-pandemic governance: Externalities reduction policy

F1000Res. 2022 Sep 12:11:1032. doi: 10.12688/f1000research.123195.1. eCollection 2022.

Authors

Olga Vladimirovna Kalinina¹, Sergey Evgenievich Barykin², Sergey Mikhailovich Sergeev¹, Galina NikolaevnaSemenova³, Alina Fatkullina^{4

5}, Alexey Mikhaylov⁶, Elena De La Poza Plaza⁷

Affiliations

¹ Graduate School of Industrial Management, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation.
² Graduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation.
³ Department of Accounting and Taxation, Plekhanov Russian University of Economics, Moscow, Russian Federation.
⁴ Department of Engineering Graphics and Computer Modeling, Moscow State University of Civil Engineering, Moscow, Russian Federation.
⁵ Moscow Architectural Institute, Moscow, 107031, Russian Federation.
⁶ Department of Banking and Financial Markets, Financial University under the Government of the Russian Federation, Moscow, Russian Federation.
⁷ Center for Economic Engineering (INECO), UniversitatPolitècnica de València, Valencia, Spain.

Abstract

Background: The ongoing COVID-19 quarantine restrictions have caused multiple sharp decreases in activities associated with the movement of large masses of people. The economies of regions and cities that are critically dependent on tourist flows related to various segments have suffered. This research aims to provide an economic-mathematical model of smart cities externalities' impact from the point of view of achieving social and environmental goals Methods: The objective of this study was to develop an algorithm for supporting decision-makers. Methods of mathematical modeling, statistical processing of data received in real-time, as well as methods for finding solutions by expansion into dynamic series are used, and the theory of mathematical games is applied. The theoretical mathematical model presented considers the statistical processing of data provided in real time referring to the performance indicators of megacities. Results: The activities of administrations and governments aimed at maintaining stability over the past two years have been aimed at reducing the negative impact of the pandemic. The prospect of returning to normal conditions is complicated by a number of factors. The proposed approach allows the development of the fundamental basis for making administrative decisions within individual megapolises and in environmental policy on a territory of any scale. The developed mathematical model is abstract by definition and is applied by taking into account specific tasks and criteria. Since the tasks of the administration differ depending on the region and country, the choice of criteria is set individually. Conclusions: During the period of isolation, the volume of services in the Hotel - Restaurant- Catering/Café (HORECA) segment has decreased, and personnel has also been lost. The reduced pressure on public infrastructure and the departure of migrants means that, in the long term, this work cannot be restored within a short period of time.

Keywords: Digital Interactions; Digital Platforms; Smart Cities; Sustainable Development.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

COVID-19*
Cities
Humans
Models, Theoretical
Pandemics*
Policy

Grants and funding

The work was supported by the Ministry of Science and Higher Education of the Russian Federation under the strategic academic leadership program 'Priority 2030' (Agreement 075-15-2021-1333 dated 30 September 2021).