Smart City Gnosys
Smart city article details
| Title | Evaluation Criteria Of Smart City Mobility System Using Mcdm Method |
|---|---|
| ID_Doc | 24726 |
| Authors | Zapolskyte, S; Burinskiene, M; Trépanier, M |
| Year | 2020 |
| Published | BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING, 15, 4 |
| DOI | http://dx.doi.org/10.7250/bjrbe.2020-15.501 |
| Abstract | While many cities a round the world qualify themselves as "smart cities", there is no comprehensive way to evaluate to what extent they are "smart". This article proposes a framework for comparison of the level of "smartness" of the urban mobility systems. The most relevant indicators that have the greatest impact on smart mobility systems were selected in the course of literature review. The impact of indicators on smart mobility systems is variable. Evaluating smart mobility systems, different authors distinguish between different indicators, which usually do not duplicate. The paper categorizes the indicators of the smart mobility system into five groups, called "factors": motor travel and congestion reduction measures; pollution reduction measures; travel safety and accident reduction measures; traffic management tools and services; smart infrastructure measures. A number of indicators are attributed to each of the listed groups. A Multiple Criteria Decision-Making method, namely, the Analytic Hierarchy Process (AHP) method, has been used to evaluate the significance of the smartness level used in the research. This method bases the weighting of subjective criteria on expert judgement. Rank correlation is used to determine the consistency of expert opinions. A model has been developed to compare smart mobility systems of individual cities and their infrastructure. |
| Author Keywords | benchmarking; intelligent infrastructure; multicriteria analysis; smart city mobility system; smartness index |
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