Impact of Particular Indicators of Urban Development of Cities in the Czech Republic on Average Road Traffic Intensity - Geoinformatics for Intelligent Transportation - page 79

(yearly) updated from land use of all parcels in the Czech Republic. The data
determine forest areas, water areas, agriculture areas, built-up areas and courtyards,
and other areas and barren soil in administrative city areas

indicators A, B, C, D,
E, I in Table 1 . Administrative city areas are entire city areas of individual cities in
individual years. They were used in all cities in 1995, 2000 and 2005, in some of
them also in 1970, 1980 and 1990. List of indicators used only in 2 time periods
column in Table 3 shows cities with 1995 and 2000 data only.
A core city area is an administrative area of a given city at the end of 1970s. The

—

first period when some villages neighbouring of cities
became parts of these cities, the second half of the 1980s was the second period.
Their land enlarged original administrative areas of these cities. Original city areas
(before joining) were separated from these villages by agricultural or forested areas.
They did not have a common historical development. It was the reason why the
authors analysed the dependence of the road intensity also on land use of core areas
of cities. All land use areas (residential, productive, traf

first half of the 1980s was the

c, recreational and other
areas) in core city areas were processed by an image analysis and interpretation.
These land use areas were derived from city plans (vector data) and aerial ortho-
photos and satellite images (raster data). City plans represent the actual state of land
use of cities and plans for their future. However, their list of land use classes is more
detailed

—

specifying detailed classes of all land use classes. These detailed classes
were merged into the above-mentioned five land use = functional classes. The real
state was veri

ed and/or corrected using both types of remote sensing data for all
cities in GIS. Orthophoto data were provided by COSMOC. Landsat data of the
appropriate years were the satellite remote sensing data downloaded from http://
glovis.usgs.gov . GIS vector data of land use/functional classes were a source of
spatial data

indicators F, G, H, I, J, K in Table 1 . The functional class areas can be
dated by the remote sensing data measurement. Time difference between analysed
years (1970, 1980, 1990, 2000, and 2005) and the remote sensing data were less
than 3 years.

—

3.2 Non-spatial Data

Non-spatial statistical data (population data) are from the Czech Statistical Of ce

web site ( www.czso.cz ) . They are updated at least once per year. These are L, M, N,
O, and P indicators in Table 1 .
Road traf

c intensity data are collected and archived since 1968 by the Road and
Motorway Directorate and are from 1973, 1980, 1990, 1995, 2000, and 2005. The
Directorate measures a number of passing vehicles in selected points in 24 h. These
points ((determined by their Identi

cation numbers and geographical coordinates)
are located on important roads of various classes in the entire country

—

both in, and

out of urban areas. We de ned average road traf c intensity for the analysis. The

average road traf c intensity is a sum of the measured intensities in all points of one

city divided by the number of measured points. This value allowed us to compare