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.

For a long period in Lithuania there was a tendency to build extensively leaving huge wasteland insertions in the urban fabric of the cities. As a result cities overspread such a big territory that the edges of the cities and location of provision centers are almost inconceivable. In this paper the method of game theory fitted for Geographic Information System (GIS) is given to evaluate and calculate the rate of city compactness. This methodology can help city planners to determine and localize problems of urban fabric density, to enhance motivation and versatility of decisions. For evaluation of city compactness efficiency attributes and the weights of it based on expert judgment are established. This model is applied to Kaunas city. On the basis of GIS the data bank of population, public transport stops and places of public attraction is prepared. Area of the city was divided by rectangular grid and analysis was made calculating efficiency attributes for each sector, applying Bayes rule. The results were visualized as diagrams showing most problematical areas.

Non-motorized pedestrian and bicycle traffic is an effective and efficient tool for reducing the negative environmental impacts of transport and improving the quality of life in urban conditions. The strategies of creating new attractive spaces on the waterfront are prevalent amongst the municipalities in different countries. This kind of development intends the construction of new connection bridges, usually meant solely for walking and cycling. There are a significant number of studies covering the theme of pedestrian bridges, but the studies typically focus on technical parameters – serviceability, stress and vibrations, specifications for the design. Researchers and stakeholders rarely discuss displacement strategy, expenditure and future usability. This study aims to find out the best and the most useful bridge locations that would contribute to pedestrian network improvement, would add value to city image and give other benefits. A novel hybrid Multi-Criteria Decision-Making (MCDM) model, based on five different multi-criteria decision-making methods: Multiplicative Exponential Weighting (MEW), method of Evaluation Based on Distance from Average Solution (EDAS), an Additive Ratio Assessment (ARAS) method, expert judgement, and Step‐Wise Weight Assessment Ratio Analysis (SWARA), is presented. A developed model allows solving complicated problems and finding a rationally, balanced solution. Arguments derived from this study help politicians and town planners as well as society.

Bicycling and walking are essential elements of sustainable transportation. These transportation modes effectively reduce the negative environmental impacts of transport and improve the quality of life. It is not only recognized by governments but also naturally become more prevalent in modern society. Nowadays research on bicycling and interest in related topics is dramatically increasing, but while researchers focus on modern technologies and collecting data from portable devices, there are quite a few studies on the effectiveness of investments in bicycle infrastructure, and even less discussed is a question how to set the priorities for construction works of the bicycle path network. To fill this gap this paper presents the universal method of ranking the priorities for development and renewal of bicycle pathway segments. The process is realized by hybrid Multi-Criteria Decision-Making (MCDM) Additive Ratio ASsessment with Fuzzy (ARAS-F) model, based on Eckenrode rating. Given criteria and their weights apply only to the specifics of this case study, and it need adaptation if used for other territories. Presented case study gives insight into the task of upgrading bicycle networks – how to overcome the inequalities, fragmentation and build missing links. Developed hybrid MCDM model integrated into Geographic Information System (GIS) allows quickly find rationally balanced solutions and develop bicycle network in efficient way. Keyword : sustainable transportation, cycling, bicycle route, multi-criteria decision-making (MCDM), Eckenrode rating, additive ratio assessment with fuzzy (ARAS-F), criteria, value

This paper concerns multi‐attribute decision support methodology applied to analyze the impact of retail centres on the city as a complex system. Influence on the city is described as the sum of effects the retail centres give to the quality of life to the neighborhood and other city population, the work of city transportation system, architectural and urban perception of the city. The gamut of impact is estimated and numerical expression is obtained. Using it different alternative objects are compared. The task is described by many attributes. The main attributes are distinguished to measure the influence of retail centres on quality of life, the work of transportation system, on the economics and the architectural ‐ urban perception of the city. On the basis of expert judgment the weights of attributes are estimated. The normalization of the efficiency attributes is done using linear normalization method. The values of different attributes are derived from the rating done by urbanism ground experts. From ideal values the optimal alternative is made. Influence is estimated using Multiplicative Summarized Optimal Criterion method. The strategy of retail centres development is defined by comparison of existing objects to ideal value. The multi‐attribute model for estimation of retail centres influence to the city was used in “Kaunas city municipality specialised plan for dislocation of retail centres”. The research results determined effectiveness of existing objects and future development strategy.