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USE OF GEOGRAPHICAL INFORMATION SYSTEM FOR FINDING THE INFLUENCE OF CLIMATIC CONDITIONS ON THE TRAVEL BEHAVIOR IN VARIOUS GEOGRAPHIC AREAS
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J. Carsky;P. Satra
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1314-2704
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English
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19
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2.2
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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.
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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1063-1070
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30 June - 6 July, 2019
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website
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cdrom
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5595
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climatic conditions; modal split; Bayesian clustering; municipalities; GIS
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