People
Ing. Petr Šatra, Ph.D.

2020, International Journal of Advanced Trends in Computer Science and Engineering, 9 (1.4 Special Issue), p. 360-366), ISSN 2278-3091

The goal of the research is to study the mode choice on the Origin-Destination pairs (O-D pairs) between municipalities of the Czech Republic. However, the data set of O-D pairs, which are described by number of travelers commuting to work or school from one municipality to another, is consisting over 50 % of O-D pairs with only one traveler. Modal split on these O-D pairs is then distorted in favor of only one mode of transport, making the whole data set mis-leading. The paper is presenting and evaluating methods for filtration and removal of O-D pairs of lesser importance from the data set. The options for modal split study are also improved by segregation of the data set into groups of O-D pairs according to their direction characteristics.

2019, 19th International Multidisciplinary Scientific Geoconference SGEM 2019, Sofia, STEF92 Technology Ltd.), p. 1063-1070), ISBN 978-619-7408-89-8, ISSN 1314-2704

This paper aims to find the influence of the climate on the travel behavior in various geographical areas of the Czech Republic. The travel behavior is to be represented by the modal split of two main groups of travelers – work commuters and school commuters. The basic geographic areas to be used for the analysis will be the territories of various municipalities. The climate is defined by average annual temperature and average annual precipitation, both from the period 1991 to 2010. Both climatic conditions are available in form of GIS maps (shapefiles), distinguishing areas, where temperature or precipitation are in certain intervals. The modal split in the municipalities is analyzed by the means of Bayesian clustering, which is pointing at clusters of municipalities, where some means of transport are predominant, or their share significantly increases. Locations of the municipalities in the respective clusters will be displayed in GIS maps. The process of clustering is verified by the comparing the resulting clusters in GIS with other map files, such as railway network or topographical map, which are not then used in the further process of finding the influences. The verified clusters are then compared in GIS with the climatic maps, finding the influence of the climatic conditions in the clustered municipalities on the mode choice in these municipalities. Found influence will be used to improve the land use planning process in terms of the transport infrastructure to support the goals of the sustainable mobility.

2018, IOP Conference Series: Earth and Environmental Science, Bristol, IOP Publishing Ltd.), ISSN 1755-1307

Our research is looking at the travel behaviour from a macroscopic view, taking one municipality as a basic unit. The travel behaviour of one municipality as a whole is becoming one piece of a data in the research of travel behaviour of a larger area, perhaps a country. A data pre-processing is used to cluster the municipalities in groups, which show similarities in their travel behaviour. Such groups can be then researched for reasons of their prevailing pattern of travel behaviour without any distortion caused by municipalities with a different pattern. This paper deals with actual settings of the clustering process, which is based on Bayesian statistics, particularly the mixture model. An optimization of the settings parameters based on correlation of pointer model parameters and relative number of data in clusters is helpful, however not fully reliable method. Thus, method for graphic representation of clusters needs to be developed in order to check their quality. A training of the setting parameters in 2D has proven to be a beneficial method, because it allows visual control of the produced clusters. The clustering better be applied on separate groups of municipalities, where competition of only identical transport modes can be found.

2017, Proceedings of the 5th Annual International Conference on Architecture and Civil Engineering, Singapore, Global Science & Technology Forum (GSTF)), p. 418-425), ISSN 2301-394X

The goal of the research is to perform a macroscopic analysis of the modal split in all municipalities of the Czech Republic, based on the available data. The focus will be on periodically repeated travels to work and school. These travels have the largest share among all realized travels. Geographic segmentation of the analyzed data will allow carrying out targeted application of conclusions resulting from the analysis per each municipality or group of municipalities. Applications which may by verified by the research are for example a system of prioritization of support of different transport modes in each area or sensitivity analysis of modal split and particular transport mode support mechanism. The research has shown so far, that the transport modes Train and Urban Public Transport show very strong complementarity and that there is a high competition between the transport mode BUS on one side and the mutually supplementing modes Train and Urban Public Transport on the other side. On the other hand, competition of the transport mode Passenger Car with the mutually supplementing modes Train and Urban Public Transport is negligible, however at the same time, there is a high competition of transport mode Passenger Car and sole transport mode of Urban Public Transport.