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Use of geographical information system for finding the influence of climatic conditions on the travel behavior in various geographic areas

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F19%3A00339429" target="_blank" >RIV/68407700:21260/19:00339429 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.5593/sgem2019/2.2/S11.131" target="_blank" >http://dx.doi.org/10.5593/sgem2019/2.2/S11.131</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5593/sgem2019/2.2/S11.131" target="_blank" >10.5593/sgem2019/2.2/S11.131</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Use of geographical information system for finding the influence of climatic conditions on the travel behavior in various geographic areas

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    21100 - Other engineering and technologies

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    19th International Multidisciplinary Scientific Geoconference SGEM 2019

  • ISBN

    978-619-7408-89-8

  • ISSN

    1314-2704

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    1063-1070

  • Publisher name

    STEF92 Technology Ltd.

  • Place of publication

    Sofia

  • Event location

    Albena

  • Event date

    Jun 30, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article