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4 Conclusion
The study is based on data from census 2011 (daily commuting between munici-
palities, demographical attributes), the register of cars (car ownership), and the
Database of public transport connections (description of public transport conditions
in municipalities).
The strong relationship between individual transport use and geographical loca-
tion has been proved. The highest share of individual transport is in western areas and
less populated municipalities. According to the local transport demand and supply,
municipalities are divided into 12 categories. A correlation analysis with many
demographical (age, education, population) and geographical (altitude, area, distance
to regional and national borders, x and y coordinates) factors including commuting
time enable to characterize following groups of municipalities by selected attributes:
1st group with small demand and small supply for public transport indicates
high car ownership index, small number of residents, high altitude, and close-
ness of regional borders (internal peripheries).
￿
2nd group with high supply and demand for public transport shows very small
car ownership index, closeness to country border (external peripheries), younger
population with higher education (complete secondary and tertiary) and longer
commuting time. These municipalities are located very often in eastern parts of
the country.
￿
3rd group with high supply of public transport but low utilisation in commuting
is probably interlinked with short commuting time, young and middle educated
population in smaller municipalities.
￿
￿
4th group with high demands for public transport but with low supply of such
services is typical by longer commuting time (above 30 min), in peripheral
mountain areas, with older population. These municipalities are mostly clustered
in two larger areas.
The result shows typical features of transport choice conditions in the country.
Further research should focus more on regional differences to deliver adjusted
recommendations to regional transport decision makers.
Acknowledgments Application has been developed as a part of higher education development
fund frv š 956/2013/b1. Authors thank the agency for financial support.
References
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2. Bhat C, Koppelman FS (1999) A retrospective and prospective survey of time-use research.
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139
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