The transport sector, pivotal in sustaining economic activity and regional development, stands as a double-edged sword, enhancing competitiveness and mobility while posing substantial challenges to environmental sustainability. It remains heavily dependent on fossil fuels, characterized by inefficient infrastructure and scant emphasis on environmental stewardship. This trajectory not only undermines long-term viability but also exacerbates pollution levels, including greenhouse gases and air and noise pollutants, thus degrading environmental quality and posing health risks globally. Consequently, there is an imperative need for a paradigm shift towards sustainable transport practices. This study employs the Ranking Alternatives with Weights of Criterion (RAWEC) methodology to assess the sustainability of various transport modes within the European Union in 2020. Evaluation criteria included employment numbers, turnover, final energy consumption, greenhouse gas emissions, and transport-related fatalities. Criterion weight coefficients were calculated using the Standard Deviation Method, Entropy, and FANMA methods. The findings underscore the necessity for strategic adjustments in transportation planning and policy to align with sustainability objectives.

Evaluation of engineering characteristics (ECs) according to customer requirements (CRs) is the most decisive step of the house of quality in quality function deployment (QFD) method. In most cases, high degrees of correlation between ECs exist and should be modelled. The paper develops a specific measure ('influence gap') and novel underlying procedure (smallest gap technique) for ECs evaluation aiming to capture all interdependencies. The influence gap enables to characterise each EC according to its distance from ideal-maximum influence on all requirements. The relationships between CRs and ECs and their inter-relationships are obtained using interval-valued fuzzy DEMATEL method. From the practical point of view, the most important information for decision maker(s) generated by the model is the clear insight about the contribution of each EC when launching a new product/service. Practicability and usability of the proposed methodology is illustrated over a specific transportation service. [Received: 6 January 2018; Accepted: 2 December 2018]

Urban traffic significantly contributes to air pollution, and its effects are expected to increase in the coming years. Environmental policy measures can help achieve long-term goals, in which new modes of mobility for residents can play a significant role. However, local-level decision-making is also crucial. In the face of economic volatility, cities must carefully decide on sustainable transportation expenditures that respect budget limitations and promote local air quality standards. To create a sustainable traffic strategy and address the rise in traffic demands due to increased passenger transport, the use of buses with alternative drive technologies and fuel options is becoming increasingly important in European cities. However, buses utilizing alternative drive technologies and fuel options have varying impacts on air pollution, and the required investments and expenses vary. To determine the appropriate propulsion technology and fuel for buses specifically in Nis, the analysis based on multiple criteria will be conducted using the CRITIC (Criteria Importance Through Intercriteria Correlation) and in the following TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) methods according to the defined criteria. The CRITIC method utilizes different normalization types to compute weighting coefficients and analyze their effect on the alternative rankings. Additionally, Spearman's rank correlation coefficient will be used to examine the degree of correlation between the rankings of different alternative drive technologies and fuel options for buses, calculated through the TOPSIS method.