Abstract
While many cities around 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.
Highlights
Rapid urban population growth has a negative impact on urban mobility systems
This paper proposes 23 smart mobility system evaluation indicators, which are divided into 5 groups
When searching for scientific articles on smart mobility, we found that most articles were published by the Italian research teams
Summary
It has brought the need to address the problems of improving transport services and increasing demand for public transport. Cities are facing challenges such as traffic jams, rising property prices, environmental pollution, overpopulation and reliance on private vehicles (Farooq, Xie, Stoilova, & Ahmad, 2019). While the world population is increasing, it is declining in the Baltic States. The number of cars is growing and cities are facing the same problems. The right strategy to effectively manage transport services is a major concern for cities around the world. Intelligent mobility system or transport is a critical sub-system of the city. The transport sector consumes a lot of energy and is one of the biggest polluters in cities (Miloševic, Miloševic, Stevic, & Stanojevic, 2019)
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