The article pertains to the utilization of the application potential of MCDM/MCDA (Multi-Criteria Decision Making/Multi-Criteria Decision Analysis) methods in decision-making problems in the field of transport in light of sustainable development. The article consists of a theoretical and an empirical part. As part of the literature studies, a review was carried out on the latest applications of MCDM/MCDA methods for decision-making problems in the field of transport. In the empirical part, a multi-criteria analysis of the placement selection for a strip of expressway located in north-eastern Poland was carried out. For this purpose, a hybrid approach was used, consisting of three selected MCDM/MCDA methods: DEMATEL, REMBRANDT, and VIKOR. The ranking was compared with the results achieved in the EIA report of the investment and the results were obtained by using a different set of MCDM/MCDA methods that were proposed in the first part of the research, i.e., AHP, Fuzzy AHP, TOPSIS, and PROMETHEE. The performed multi-criteria analyses allowed for an eventual multi-dimensional evaluation of the most popular MCDM/MCDA methods currently applied in the field of transport.

The primary goal of this paper is to present the application potential of MCDM/MCDA (multi-criteria decision-making/multi-criteria decision analysis) methods in the field of architecture and urban planning and in energy efficient construction, especially in the context of sustainable development paradigm. The first part of this paper is devoted to literature studies pertaining to multi-criteria decision-making support in the selected fields. On the basis of the delivered review, it was demonstrated that the most popular methods belonging to the MCDM/MCDA group that have been used so far for the purpose of resolving selected decision-making challenges, is the AHP (analytic hierarchy process) method with modifications, TOPSIS (technique for order of preference by similarity to ideal solution) method, as well the up-and-coming COPRAS (complex proportional assessment) method. In addition, by reviewing the literature, it was found that MCDM/MCDA methods constitute an effective support tool at the stage of evaluating and selecting project solutions, and are especially helpful in framing various social, economic, environmental criteria that are permanently linked to the rule of sustainable development. The empirical section of this paper, through a case study, presents a comparative analysis of the classical AHP method with its extension onto fuzzy sets. The case study pertained to the criteria for the location of single-family residential buildings with solar installations.

The primary objective of the work is to analyze the largest Polish cities in terms of the smart city indicators, which currently form one of the most important models of development. Special attention was paid to smart and sustainable solutions for public transport and infrastructure. An MCDM (Multiple Criteria Decision Making)/MCDA (Multiple Criteria Decision Analysis) method was used. First, the selected method (PROMETHEE) allowed to indicate the smartest and least smart cities with respect to six main dimensions: smart economy, smart people, smart governance, smart mobility, smart environment, and smart living. Secondly, the PROMETHEE method allowed compilation of a final ranking, taking into account publicly available indicators of the smart city concept. Finally, 43 smart city indicators that are available in public statistics were proposed. In addition to the primary goal of the study, i.e., diagnosis of Polish cities in terms of the global concept of smart city, a critical analysis of the availability of necessary statistical indicators was also carried out, indicating potential directions for database development.

The paper’s priority aim is to review the scientific literature on multi-criteria analysis in the transport sector. The work is a continuation of research published in the previous works: Broniewicz, Ogrodnik, Multi-criteria analysis of transport infrastructure projects; and Broniewicz, Ogrodnik, A comparative evaluation of multi-criteria analysis methods for sustainable transport. This paper updates the literature review of the subject matter, considering scientific papers published between 2021 and 2024. Based on a literature review, the topic’s popularity under study was assessed, the most popular methods/groups of MCDM/MCDA methods applied to transportation decision-making problems were identified, and new research topics that emerged in recent years were also identified. The article also includes the case study—a multi-criteria analysis of a selected road investment in Poland. The project variant was selected using four different criteria weighting methods, and the obtained results were compared. The comparative analysis performed allowed for the assessment of the application potential of the selected MCDM/MCDA methods. Special attention was paid to the weighting methods. Based on the multi-criteria analysis, a comparable set of weights was obtained using the AHP and Fuzzy AHP methods, while different results were obtained using the CRITIC method characterized by an objective approach to weighting. The TOPSIS method was used for the final ranking of the variants of the selected real road investment. The results confirmed the ranking obtained from the official design documentation of the selected investment.

The priority objective of this study is to identify the most popular MCDM/MCDA methods typically used to create city rankings and to conduct a comparative analysis of the selected methods. In the first part, a literature review was prepared, on the basis of which it was established that the following methods were most commonly used to assess cities: TOPSIS, AHP and PROMETHEE. In addition, the above city rankings usually pertained to the subject of sustainable development and the concept of smart city. In the subsequent empirical part, a ranking of Polish cities was created using PROMETHEE and TOPSIS methods, which enabled a comparative analysis of these methods; especially in terms of the algorithm, data selection, as well as the possibility of integration with other methods.