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Geoinformatics for Intelligent Transportation pp 137–147Cite as

Demand and Supply of Transport Connections for Commuting in the Czech Republic

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Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

The question of modal split or modal share for commuting is still very relevant topic in the studies of transport issues. This paper deals with evaluating of real demands for individual and public transport using for daily commuting between municipalities in the Czech Republic based on data from census 2011. Results discover a strong relationship between individual transport use and geographical location. The highest share of individual transport is in western areas and less populated municipalities. Concurrently the public transport supply is analysed based on data from the Database of public transport connections which has been developing by authors since 2007. Comparing evaluated transport demand and supply, all municipalities are divided into 12 categories. Various demographical (age, education, population) and geographical (altitude, area, distance to regional and national borders, x and y coordinates) factors including commuting time are studied and discussed in four most extreme groups. Typically small demand and small supply for public transport is correlated with high car ownership index, small number of residents, and closeness of regional borders (internal peripheries).

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Acknowledgments

Application has been developed as a part of higher education development fund—frvš 956/2013/b1. Authors thank the agency for financial support.

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Authors and Affiliations

  1. Institute of Geoinformatics, VSB-Technical University of Ostrava, 17. Listopadu 15, 708 00, Ostrava, Czech Republic

    Igor Ivan & Jiří Horák

Authors
  1. Igor Ivan
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  2. Jiří Horák
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Corresponding author

Correspondence to Igor Ivan .

Editor information

Editors and Affiliations

  1. Institute of Geoinformatics, VŠB - Technical University of Ostrava, Ostrava, Czech Republic

    Igor Ivan

  2. Department of Geography, Tel Aviv University, Tel Aviv, Israel

    Itzhak Benenson

  3. Department of Technology and Built Environment, University of Gävle, Gävle, Sweden

    Bin Jiang

  4. Institute of Geoinformatics, VŠB - Technical University of Ostrava, Ostrava, Czech Republic

    Jiří Horák

  5. SpaceTimeLab, University College London, London, United Kingdom

    James Haworth

  6. Institute of Geoinformatics, VŠB - Technical University of Ostrava, Ostrava, Czech Republic

    Tomáš Inspektor

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Ivan, I., Horák, J. (2015). Demand and Supply of Transport Connections for Commuting in the Czech Republic. In: Ivan, I., Benenson, I., Jiang, B., Horák, J., Haworth, J., Inspektor, T. (eds) Geoinformatics for Intelligent Transportation. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-11463-7_10

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