6 research outputs found

    Application of microsimulation models in passenger transport: results from the Czech republic and abroad

    No full text
    This paper summarizes recent experience with microsimulation models applied to analyze economic and environmental impacts of transportation scenarios. First, relevant international studies from the European and North American countries are reviewed. Then, the paper introduces a microeconomic model calibrated and simulated for five largest cities in the Czech Republic. This model is the first attempt to apply a microsimulation model in the transport sector in the Czech Republic. Finally, results of simulations of different scenarios are discussed. Model simulations suggest that the increase in the excise tax on fuels is welfare improving. In cities, where operation costs of public transport are significantly subsidized, this tool should be accompanied with a fare increase as well, because of costs of public funds. A decrease in fares is not likely to be welfare improving because of small induced modal split and high requirements of public funds needed to cover such policy.passenger transport, microsimulation models, urban transport, transport regulation

    Games for environmental awareness-raising education – experience and results of the Traffic Snake Game in the Czech Republic

    No full text
    Článek představuje a shrnuje výsledky environmentálně dopravní kampaně v České republice s názvem „Oblékáme hada Edu“. Jedná se o českou verzi evropské hry Traffic Snake Game, do které se ČR zapojila v roce 2014. Tato hra je cílená na děti z mateřských škol a 1. stupně základních škol, které se hravou formou učí uvažovat o zdravotních a environmentálních dopadech volby jednotlivých druhů dopravních prostředků a jsou podporovány co nejvíce využívat k cestám do školy udržitelné dopravní módy – chůzi, jízdu na kole či koloběžce, veřejnou dopravu a případně společnou jízdu dětí z více rodin automobilem.  V ČR se do této environmentálně-dopravní kampaně zapojilo od roku 2014 zatím 49 škol, z toho 12 opakovaně. Článek diskutuje hlavní faktory úspěchu a dopady této kampaně na způsoby cestování do školy jak během samotné kampaně, tak i tři týdny po kampani, a srovnává faktory ovlivňující dopady kampaně, jako jsou pravidelné opakování hry a vliv období, kdy se tato hra hraje (jarní versus podzimní termín). Článek končí diskusí a doporučeními pro další pokračování kampaně i v dalších letech.   The article presents and summarizes the results of the environmental campaign in the Czech Republic entitled "We Dress Up the Snake Edu". This is the Czech version of the European game Traffic Snake Game, which was joined by the Czech Republic in 2014. This game is aimed at children from kindergartens and 1st grade primary schools who in a playful way reflect the health and environmental impacts of choosing individual means of transport and are encouraged to make the most of sustainable transport decisions – walking, cycling or transport on scooters, public transport and, where appropriate, joint driving of children from several families by car.In the Czech Republic, 49 schools have been involved in this environmental campaign since 2004, of which 12 have participated repeatedly. The article discusses the main success factors of this campaign, and its impacts on travel-to-school decisions, both during the campaign itself and three weeks after the campaign. The authors compare the factors influencing the campaign's impact, such as the regular repetition of the game, influence of the period when this game is played (spring versus autumn term). The article ends with discussions and recommendations for continuing the campaign in the coming years

    Two-Step Cluster Analysis of Passenger Mobility Segmentation during the COVID-19 Pandemic

    No full text
    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
    corecore