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USE OF GEOGRAPHICAL INFORMATION SYSTEM FOR FINDING THE INFLUENCE OF CLIMATIC CONDITIONS ON THE TRAVEL BEHAVIOR IN VARIOUS GEOGRAPHIC AREAS

Jiří Čarský

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.2/s11.131View metrics

Abstract

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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Publication details

Title
USE OF GEOGRAPHICAL INFORMATION SYSTEM FOR FINDING THE INFLUENCE OF CLIMATIC CONDITIONS ON THE TRAVEL BEHAVIOR IN VARIOUS GEOGRAPHIC AREAS
Authors
Jiří Čarský
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
1063-1070
SWS Citekey
Carsky20191110631070
ISSN
1314-2704
ISBN
978-619-7408-80-5
Language
en
Publication type
Conference Paper
Keywords
climatic conditionsmodal splitBayesian clusteringmunicipalitiesGIS
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