期刊
SUSTAINABILITY
卷 14, 期 2, 页码 -出版社
MDPI
DOI: 10.3390/su14020715
关键词
benchmarking; multi-criteria analysis; smart city; smart urban mobility system; sustainable mobility; MCDM; evaluation model
资金
- Vilnius Gediminas Technical University
- CIRRELT, University of Montreal
Currently, there is no established method to assess the level of urban smartness. This article develops a hierarchical evaluation model to assess smart city transportation systems using relevant and influential indicators. The evaluation and comparison are conducted using a hybrid multi-criteria decision-making method. The study identifies and ranks a leading city based on its level of smartness.
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.
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