The EU Green Deal sets challenging goals for cities, including a 90% reduction in Green House Gas (GHG) emissions from transport by 2050. This requires an integrated and coordinated approach to urban mobility planning, represented by Sustainable Urban Mobility Plans (SUMPs), and encouraged by European policies. However, the experience of cities with SUMPs varies substantially among the EU Member States. Using qualitative and quantitative methods of data analysis, this paper aims to explore the institutional settings, practices, and barriers to sustainable mobility in Czech cities and differences between cities with and without a SUMP. The data were collected using interviews and an online questionnaire survey among stakeholders who substantially influence the urban planning praxis. The data reveal that monitoring, evaluation, and public involvement are underestimated by analyzed cities and the perception of a need for a significant transport behavior change is still quite low among local politicians. A SUMP brings substantial benefits to Czech cities of all sizes, even in the initial phase of its implementation. The cities that have developed a SUMP apply various sustainable transport measures more often, create more participation activities, and are better at evaluation than cities without a SUMP.

In this paper, we analyse the specific behaviour of passengers in personal transport commuting to work or school during the COVID-19 pandemic, based on a sample of respondents from two countries. We classified the commuters based on a two-step cluster analysis into groups showing the same characteristics. Data were obtained from an online survey, and the total sample size consists of 2000 respondents. We used five input variables, dividing the total sample into five clusters using a two-step cluster analysis. We observed significant differences between gender, status, and car ownership when using public transport, cars, and other alternative means of transportation for commuting to work and school. We also examined differences between individual groups with the same socioeconomic and socio-demographic factors. In total, the respondents were classified into five clusters, and the results indicate that there are differences between gender and status. We found that ownership of a prepaid card for public transport and social status are the most important factors, as they reach a significance level of 100%, unlike compared to other factors with importance ranging from 60 to 80%. Moreover, the results demonstrate that prepaid cards are preferred mainly by female students. Understanding these factors can help in planning transport policy by knowing the habits of users.

At the beginning of 2020 there was a spinning point in the travel behavior of people around the world because of the pandemic and its consequences. This paper analyzes the specific behavior of travelers commuting to work or school during the COVID-19 pandemic based on a sample of 2000 respondents from two countries. We obtained data from an online survey, applying multinomial regression analysis. The results demonstrate the multinomial model with an accuracy of almost 70% that estimates the most used modes of transport (walking, public transport, car) based on independent variables. The respondents preferred the car as the most frequently used means of transport. However, commuters without car prefer public transport to walking. This prediction model could be a tool for planning and creating transport policy, especially in exceptional cases such as the limitation of public transport activities. Therefore, predicting travel behavior is essential for policymaking based on people’s travel needs.

The CIVITAS Initiative supports implementation and evaluation of sustainable mobility measures. Using CIVITAS documents and data from semi-structured interviews with 25 cities, we analyze the contribution of CIVITAS to improvement of policy documents at the city level. We further suggest and develop an Index of Policy Environment to describe the cities and to verify whether the composition and quality of strategies and policy documents as well as the ways of communication with key stakeholders influence implementation and impacts of different sustainable transport measures.Our findings indicate that policy environment influences the implementation process of sustainable mobility measures though the effect is not fatal and usually does not prevent the measure implementation. According to some findings, transport modes might have different sensitivity to particular aspects of policy environment