Препринт

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

Olga Vladimirovna KalininaGraduate School of Industrial Management, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian FederationSergey BarykinGraduate School of Service and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian FederationSergey Mikhailovich SergeevGraduate School of Industrial Management, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian FederationGalina NikolaevnaSemenovaDepartment of Accounting and Taxation, Plekhanov Russian University of Economics, Moscow, Russian FederationAlina FatkullinaDepartment of Engineering Graphics and Computer Modeling, Moscow State University of Civil Engineering, Moscow, Russian FederationAlexey MikhaylovDepartment of Banking and Financial Markets, Financial University under the Government of the Russian Federation, Moscow, Russian FederationElena de la PozaCenter for Economic Engineering (INECO), UniversitatPolitècnica de València, Valencia, Spain

2022en

ABI

Аннотация

<ns3:p> <ns3:bold>Background:</ns3:bold> 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 </ns3:p> <ns3:p> <ns3:bold>Methods:</ns3:bold> 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. </ns3:p> <ns3:p> <ns3:bold>Results:</ns3:bold> 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. </ns3:p> <ns3:p> <ns3:bold>Conclusions:</ns3:bold> 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. </ns3:p>

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Идентификаторы

DOI: 10.12688/f1000research.123195.1

Цитирования и источники

Цитирований: 3Использованных источников: 0

Показатели — AkademScholar