Smart Urban Mobility System Evaluation Model Adaptation to Vilnius, Montreal and Weimar Cities

Simona Zapolskytė, Martin Trépanier, Marija Burinskienė and Oksana Survilė
Additional contact information
Simona Zapolskytė: Department of Roads, Faculty of Environmental Engineering, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
Martin Trépanier: Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montréal, QC H3C 3A7, Canada
Marija Burinskienė: Department of Roads, Faculty of Environmental Engineering, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
Oksana Survilė: Department of Environment Protection and Water Engineering, Faculty of Environmental Engineering, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania

Sustainability, 2022, vol. 14, issue 2, 1-14

Abstract: To date, there is no developed and validated way to assess urban smartness. When evaluating smart city mobility systems, different authors distinguish different indicators. After analysing the evaluation indicators of the transport system presented in the scientific articles, the most relevant and influential indicators were selected. This article develops a hierarchical evaluation model for evaluating a smart city transportation system. The indicators are divided into five groups called “factors”. Several indicators are assigned to each of the listed groups. A hybrid multi-criteria decision-making (MCDM) method was used to calculate the significance of the selected indicators and to compare urban mobility systems. The applied multi-criteria evaluation methods were simple additive weighting (SAW), complex proportional assessment (COPRAS), and technique for order preference by similiarity to ideal solution (TOPSIS). The significance of factors and indicators was determined by expert evaluation methods: the analytic hierarchy process (AHP), direct, when experts evaluate the criteria as a percentage (sum of evaluations of all criteria 100%) and ranking (prioritisation). The evaluation and comparison of mobility systems were performed in two stages: when the multi-criteria evaluation is performed according to the indicators of each factor separately and when performing a comprehensive assessment of the smart mobility system according to the integrated significance of the indicators. A leading city is identified and ranked according to the smartness level. The aim of this article is to create a hierarchical evaluation model of the smart mobility systems, to compare the smartness level of Vilnius, Montreal, and Weimar mobility systems, and to create a ranking.

Keywords: benchmarking; multi-criteria analysis; smart city; smart urban mobility system; sustainable mobility; MCDM; evaluation model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/2/715/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/2/715/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:2:p:715-:d:721209

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().