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dc.contributor.authorZapolskytė, Simona
dc.contributor.authorBurinskienė, Marija
dc.date.accessioned2023-09-18T20:29:18Z
dc.date.available2023-09-18T20:29:18Z
dc.date.issued2020
dc.identifier.issn2529-167X
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/150321
dc.description.abstractOne of the strategies for efficient transport service management is to implement advanced technologies for managing urban transport systems. Countries develop and exist under different socio-economic conditions. As a result, there is no universally accepted system of evaluation indicators for the smart mobility system and its infrastructure that can be applied in any country or city. Nowadays, there is a little research on comparing smart mobility systems in different cities. This article proposes a framework for comparing the smartness level of the mobility system and its infrastructure. The literature analysis was performed and the most important factors and indicators having the greatest influence on the smart mobility system and its infrastructure were selected. The influence of individual factors and indicators describing the smartness level of the mobility system varies. Moreover, different authors distinguish different factors and indicators when evaluating a smart city mobility system, which usually do not duplicate. The paper divides the factors of the smart mobility system into five groups: motor travel and congestion reduction measures; pollution abatement measures; travel safety and accident reduction measures; traffic management tools and services; smart infrastructure measures. Each of the listed group is distinguished by a number of specific measures. A model has been developed to compare the smart mobility system of individual cities and their infrastructure.eng
dc.format.extentp. 1-13
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.source.urihttps://www.atiner.gr/presentations/PLA2020-0181.pdf
dc.source.urihttps://www.atiner.gr/present
dc.titleThe smart mobility system and its infrastructure evaluation factors and indicators
dc.typeStraipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication
dcterms.references35
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyAplinkos inžinerijos fakultetas / Faculty of Environmental Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 003 - Transporto inžinerija / Transport engineering
dc.subject.vgtuprioritizedfieldsTD05 - Miesto judumas / Urban mobility
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.ensmart mobility
dc.subject.enmulticriteria analysis
dc.subject.ensmartness index
dc.subject.eninfrastructure
dc.subject.enITS
dc.subject.enevaluation model
dcterms.sourcetitleATINER’s conference paper proceedings series. 10th annual international conference on urban studies & planning, 1-4 June 2020, Athens, Greece
dc.publisher.nameATINER
dc.publisher.cityAthens
dc.identifier.elaba62587469


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