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

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

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dc.contributor.author De la Poza, Elena es_ES
dc.contributor.author Kalinina, Olga Vladimirovna es_ES
dc.contributor.author Barykin, Sergey Evgenievich es_ES
dc.contributor.author Sergeev, Sergey Mikhailovich es_ES
dc.contributor.author Semenova, Galina Nikolaevna es_ES
dc.contributor.author Fatkullina, Alina es_ES
dc.contributor.author Mikhaylov, Alexey es_ES
dc.date.accessioned 2023-11-21T19:02:11Z
dc.date.available 2023-11-21T19:02:11Z
dc.date.issued 2022-09-12 es_ES
dc.identifier.uri http://hdl.handle.net/10251/200058
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship 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). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript es_ES
dc.language Inglés es_ES
dc.publisher F1000 Research, Ltd. es_ES
dc.relation.ispartof F1000Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Digital Interactions es_ES
dc.subject Smart Cities es_ES
dc.subject Sustainable Development es_ES
dc.subject Digital Platforms es_ES
dc.subject.classification ECONOMIA FINANCIERA Y CONTABILIDAD es_ES
dc.title Smart city perspectives in post-pandemic governance: Externalities reduction policy es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.12688/f1000research.123195.1 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/730283/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Ministry of Science and Higher Education of the Russian Federation//075-15-2021-1333//Priority 2030/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.description.bibliographicCitation De La Poza, E.; Kalinina, OV.; Barykin, SE.; Sergeev, SM.; Semenova, GN.; Fatkullina, A.; Mikhaylov, A. (2022). Smart city perspectives in post-pandemic governance: Externalities reduction policy. F1000Research. 11(1032):1-12. https://doi.org/10.12688/f1000research.123195.1 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.12688/f1000research.123195.1 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 1032 es_ES
dc.identifier.eissn 2046-1402 es_ES
dc.identifier.pmid 36320630 es_ES
dc.identifier.pmcid PMC9593024 es_ES
dc.relation.pasarela S\482373 es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.contributor.funder Ministry of Science and Higher Education of the Russian Federation es_ES


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