| dc.contributor.author | Zapolskytė, Simona | |
| dc.contributor.author | Burinskienė, Marija | |
| dc.date.accessioned | 2023-09-18T20:29:18Z | |
| dc.date.available | 2023-09-18T20:29:18Z | |
| dc.date.issued | 2020 | |
| dc.identifier.issn | 2529-167X | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/150321 | |
| dc.description.abstract | One 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.extent | p. 1-13 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.source.uri | https://www.atiner.gr/presentations/PLA2020-0181.pdf | |
| dc.source.uri | https://www.atiner.gr/present | |
| dc.title | The smart mobility system and its infrastructure evaluation factors and indicators | |
| dc.type | Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | |
| dcterms.references | 35 | |
| dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Aplinkos inžinerijos fakultetas / Faculty of Environmental Engineering | |
| dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
| dc.subject.researchfield | T 003 - Transporto inžinerija / Transport engineering | |
| dc.subject.vgtuprioritizedfields | TD05 - Miesto judumas / Urban mobility | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | smart mobility | |
| dc.subject.en | multicriteria analysis | |
| dc.subject.en | smartness index | |
| dc.subject.en | infrastructure | |
| dc.subject.en | ITS | |
| dc.subject.en | evaluation model | |
| dcterms.sourcetitle | ATINER’s conference paper proceedings series. 10th annual international conference on urban studies & planning, 1-4 June 2020, Athens, Greece | |
| dc.publisher.name | ATINER | |
| dc.publisher.city | Athens | |
| dc.identifier.elaba | 62587469 | |