The paper presents the planning process of an integrated urban transportation system (IUTS) for a medium sized metropolitan area. The proposed approach has a universal character and can be applied by city planners, traffic engineers and municipal authorities in strategic planning of urban transportation systems and designing advanced transportation solutions. It focuses on the integration of both public and private transportation within the metropolitan area. The overall objective of the integration is to enhance the traveling standards within the metropolitan area resulting in the change of the residents’ traveling habits and behavior and modification of the modal split. The proposed planning process is based on macro simulation and Multiple Criteria Decision Making (MCDM/A) methodology. The macro simulation software VISUM is applied to generate different scenarios (variants) of an IUTS. These variants are designed heuristically, based on the analysis of the existing urban transportation system and evaluated by a consistent family of criteria which takes into account interests of different stakeholders. In the evaluation process the Electre III/IV method is applied. Based on the questioner survey and interviews the preferences of the city authorities -decision maker (DM) are recognized and transferred into the preference model characteristic for the applied method. Computational experiments lead to the final ranking and selection of the most desirable IUTS

This article presents a multiple criteria evaluation of different redevelopment variants of a certain section of a major street in a medium – sized metropolitan area. Each of the variants comprises different transportation solutions and concepts as well as distinct investments in transportation infrastructure. The variants have been designed heuristically with the application of PTV VISUM 11.0 computer traffic simulation system and evaluated according to the principles of Multiple Criteria Decision Making/Aiding (MCDM/A) and Group Decision-Making (GDM) methodologies. Traffic simulation for all variants considered has been carried out and different parameters distinctive of particular variants have been generated. A consistent family of criteria has been defined to evaluate the proposed transportation variants. In the set of criteria interests of the group decision maker (Municipal authorities) and three major stakeholders, including: passengers, investor, public transport operator, and municipal authorities have been taken into consideration. Computational experiments have been carried out with the use of ELECTRE III and AHP methods

This paper deals with the problem of selection the most suitable trip-modelling tool (TMT), which is a part of the more complex integrated transport planning system (ITPS) at the regional scale. Since an application of TMT is not autonomous and several different users exist the selection problem is not a trivial. In this paper, an original five-phase selection procedure is presented. The first phase consists in specifica¬tion of both, detailed expectations of all identified users and technical requirements of ITPS. Second phase deals with research on available TMT while a third one is concentrated on defining a comprehensive set of criteria. In this phase critical criteria as well as selection criteria are defined. First one is utilised to eliminate unacceptable TMTs in phase four and second one to evaluate and select most adequate TMT in phase five. In the paper an exemplary application of this procedure is presented. The authors have defined 2 critical criteria and a set of 19 selection criteria. The last one is divided into 3 main subsets, i.e. functional, technical and financial contexts of selection process. All the selection criteria are characterised by 43 sub-criteria and some of them are more detailed extended. Using this procedure 3 out of 6 alternative TMTs including Emme, Aimsun and Visum have been initially accepted and next evaluated. Finally, Visum has been selected and recommended for application into ITPS.

Understanding cycling mobility is essential for developing sustainable urban transport policies. However, variations in data collection methods and a lack of standardized approaches hinder comprehensive analysis and evidence-based decision-making. This study examines how cycling data are gathered across different cities, the insights they provide, and how existing methods can be improved. The scientific literature and policy guidelines are examined, combined with an empirical study analyzing data collection practices in several Polish cities. This paper reveals inconsistencies in data collection techniques, including differences in sensor-based tracking, manual counting, and survey methodologies. Moreover, while some cities employ advanced technologies such as automated counters, others rely on fragmented or irregular data sources. This study highlights best practices observed in international research and policy recommendations, which could guide the refinement of cycling data collection strategies. By identifying common gaps and challenges, recommendations for improving data standardization, integration, and accessibility are proposed. The results contribute to a better understanding of how cities can enhance their cycling data frameworks to support sustainable mobility planning and policy development.

The impact of long-term travel demand changes on mixed decision problems of mass transit lines construction and vehicles’ depots location