Transportation is undergoing its most significant transformation since the inception of road transport. This transformation is fueled by concerns about climate change and technological advancements. Understanding the current situation in medium- sized cities across Europe is crucial to developing transportation concepts for urban areas within the EU. This study offers insights into the current state of urban mobility in post- communist countries and depicts the current spatial mobility in a medium-sized city. The aim of this study is to evaluate the influence of selected socioeconomic factors on the mobility of employees and students. This study, conducted in 2019, employed quantitative research methods, including a questionnaire survey. In total, 545 employees and students participated in the survey, representing a significant indicator of mobility in the city of Zlín. Data analysis was performed using nonparametric methods. The results indicate a relationship between respondents’ job classification, age group, transportation time, and choice of means of transport. These findings can be applied to countries with similar historical and cultural development backgrounds, such as Poland, Hungary, and Slovakia.
The behavioral features of the population are addressed in transport models by different levels of territorial disaggregation and the creation of demand strata in a territory. The need for input data grows exponentially with the demand for a detailed zonal system of the territory. The basic source is the mobility survey. This article deals with the comparison of the calculation of the probability of choosing a transport mode for trips using the classic multinominal logit model and the best-worst method. We used data from a mobility survey in the Žilina region as a basic sample. The analysis covered 11 districts and their gravity areas. The individual transport relations are evaluated in detail in the analysis. The results confirm the high degree of accuracy of the best-worst method in the calculation of mode choice on a regional scale. Despite the promising results of the agreement in the confrontation with the mobility survey, it is necessary to verify the modeled data with a more detailed area with disaggregation on-demand strata.