Increased use of e-powered personal mobility vehicles is usually considered to be a positive change, while it is generally agreed that Personal Mobility Vehicles (PMVs) effectively and efficiently reduce the negative environmental impacts of transport and improve quality of life. There has been great technological progress made by all sectors in the field of personal mobility during the last decade. The use of PMVs for micro-mobility have been welcomed by the market, consumers, and governments and thus they are becoming increasingly popular in modern European society. New technology-driven PMVs provide opportunities to their users, but at the same time create problems with street space sharing, road safety, and traffic offenses. This study gives an overview of recent types of PMVs, offers some insights into upcoming changes and challenges, and raises a discussion on themes related to the increased use of e-powered personal transporters.

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.

Brownfield land is one of the least exploited resources for urban development in a number of Eastern European countries. Establishing a rational strategy for redeveloping brownfields is an unambiguously complex task that requires considering a number of different economic, social, physical and environmental factors. The strategic decision-making has a long term impact on the quality of life, ecological balance and urban structure. Therefore, the paper is aimed at developing a comprehensive set of criteria that contribute to the redevelopment of brownfield land in urban areas. It focuses on six main development strategies that embrace creating residential, green, commercial, recreational activity and industrial areas or leaving land as a reserve. Geographic information system (GIS) tools are employed to collect the spatial information, obtain the initial set of criteria and derive the statistical data. Expert’s evaluations along with a statistical method of gauging the level of concordance of their opinion combined with Delphi method are used for determining significance of criteria within economic, social, physical (urbanistic) and environmental criteria groups. This study establishes the most significant criteria for implementing different scenarios of the brownfield land redevelopment in Vilnius, Lithuania. Developed framework will support the decision-making process in the brownfield land redevelopment aiding a sustainable urban planning.

An increasing number of recent discussions have focused on the need for designing transport systems in consonance with the importance of the environment, thus promoting investment in the growth of non-motorized transport infrastructure. Under such conditions, the demand for implementing the most effective infrastructure measures has a profoundly positive impact, and requires the least possible financial and human resources. The development of the concept of sustainable mobility puts emphasis on the integrated planning of transport systems, and pays major attention to the expansion of non-motorized and public transport, and different sharing systems, as well as to effective traffic management involving intelligent transport systems. The development of transport infrastructure requires massive investment, and hence the proper use of mobility measures is one of the most important objectives for the rational planning of sustainable transport systems. To achieve this established goal, this article examines a compiled set of mobility measures and identifies the significance of the preferred tools, which involve sustainable mobility experts. The paper also applies multicriteria decision making methods in assessing urban transport systems and their potential in terms of sustainable mobility. Multicriteria decision making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and for comparing them between cities. The proposed universal evaluation model is applied to similar types of cities. The article explores the adaptability of the model by assessing big Lithuanian cities.

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.

Urban brownfields are found in all parts of the world. They suffer from a negative image and are generally being viewed as problem areas. However, urban brownfields also offer potentials for new uses and for the ecological regeneration of cities. Strategic decision-making has a long term impact on the quality of life, ecological balance and urban structure. Therefore, the paper is aimed at providing a methodology for selecting the optimal scenario for urban brownfields regarding criteria for urban development and focuses on three possible scenarios representing sustainable urban development in the city. The results of the research are provided as a priority list for each scenario in the context of every neighbourhood of Vilnius city. The obtained results show the scenario optimal for each neighbourhood having the highest priority to implementing solutions in real life. Economic, social, physical (urbanistic) and environmental criteria are considered. Geographic information system (GIS) tools are employed for collecting spatial information, obtaining the initial set of criteria and deriving statistical data. Different MCDA methods, including TOPSIS, EDAS, COPRAS and SAW are used in the research. The correlation between the values of the sets pairs of cumulative criteria for the applied MCDA methods appeared to be satisfactory for the conducted re-search. The developed framework will support the decision-making process in brownfield land redevelopment aiding sustainable urban planning.