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dc.contributor.authorKruglikov, S. V.en
dc.contributor.authorZakharova, G. B.en
dc.date.accessioned2021-08-31T15:03:20Z-
dc.date.available2021-08-31T15:03:20Z-
dc.date.issued2020-
dc.identifier.citationKruglikov S. V. Multi-Agent Analysis of Scenarios for "arctic Smart City" / S. V. Kruglikov, G. B. Zakharova. — DOI 10.1088/1742-6596/1680/1/012028 // Journal of Physics: Conference Series. — 2020. — Vol. 1680. — Iss. 1. — 012028.en
dc.identifier.issn17426588-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85098588633&doi=10.1088%2f1742-6596%2f1680%2f1%2f012028&partnerID=40&md5=411263bc27330a2ecd55240846e64435
dc.identifier.urihttp://elar.urfu.ru/handle/10995/102361-
dc.description.abstractAn approach to formalizing problems of municipal management in the Russian Arctic via smart city technologies is considered on the example of city Salekhard. An analysis of modern smart city concepts and prospects for integrating such technologies as BIM, GIS, and CIM is given. A discussion is based on comparison of two options to implement smart city technologies. Those are: 1) the inertial scenario of development adopted in the Strategy of the municipality Salekhard city, and 2) an alternative scenario corresponding to the innovation model of multicomponent sustainable system which includes energy subsystems. A multi-agent formalization of city management presents specific object features, including factors of the Northern nature. The framework of a four-component model of the flow distribution of resources: material, energy, information, financial, is applied. © Published under licence by IOP Publishing Ltd.en
dc.description.sponsorshipThe reported research was partly funded by Russian Foundation for Basic Research and the government of the Yamal region of the Russian Federation, grant № 19-48-890001.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherIOP Publishing Ltden
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceJ. Phys. Conf. Ser.2
dc.sourceJournal of Physics: Conference Seriesen
dc.subjectMULTI AGENT SYSTEMSen
dc.subjectCITY MANAGEMENTen
dc.subjectCOMPONENT MODELen
dc.subjectFLOW DISTRIBUTIONen
dc.subjectINNOVATION MODELSen
dc.subjectMULTI AGENTen
dc.subjectMULTICOMPONENTSen
dc.subjectMUNICIPAL MANAGEMENTSen
dc.subjectSUSTAINABLE SYSTEMSen
dc.subjectSMART CITYen
dc.titleMulti-Agent Analysis of Scenarios for "arctic Smart City"en
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1088/1742-6596/1680/1/012028-
dc.identifier.scopus85098588633-
local.contributor.employeeKruglikov, S.V., Department of Modeling of Controlled Systems, Ural Federal University Named after the First President of Russia Boris Yeltsin, Mira str., 19, Yekaterinburg, 620002, Russian Federation, Department of Optimal Control, Krasovskii Institute of Mathematics and Mechanics, S. Kovalevskoi str., 16, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeZakharova, G.B., Department of Modeling of Controlled Systems, Ural Federal University Named after the First President of Russia Boris Yeltsin, Mira str., 19, Yekaterinburg, 620002, Russian Federation, Department of Scientific Research, Ural State University of Architecture and Art, Karla Libknekhta str., 23, Yekaterinburg, 620075, Russian Federation
local.issue1-
local.volume1680-
local.contributor.departmentDepartment of Modeling of Controlled Systems, Ural Federal University Named after the First President of Russia Boris Yeltsin, Mira str., 19, Yekaterinburg, 620002, Russian Federation
local.contributor.departmentDepartment of Scientific Research, Ural State University of Architecture and Art, Karla Libknekhta str., 23, Yekaterinburg, 620075, Russian Federation
local.contributor.departmentDepartment of Optimal Control, Krasovskii Institute of Mathematics and Mechanics, S. Kovalevskoi str., 16, Yekaterinburg, 620002, Russian Federation
local.identifier.pure20376424-
local.identifier.pure309d07b6-a165-408c-9ed2-d86f64a33171uuid
local.description.order012028-
local.identifier.eid2-s2.0-85098588633-
local.fund.rffi19-48-890001-
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