Impact of Particular Indicators of Urban Development of Cities in the Czech Republic on Average Road Traffic Intensity - Geoinformatics for Intelligent Transportation - page 77

Table 1 List of processed indicators
Name of indicators Number of analysed cities

(at least in one time span)

A. Agricultural area in the administrative city area 36

B. Forest area in the administrative city area 36

C. The area of water bodies in the administrative city area 36

D. Built-up areas and courtyards in the administrative city area 36

E. Other areas and barren land in the administrative city area 36

F. Traffic areas in the core area 36

H. Productive area in the core city area 36

I. Residential area in the core city area 36

J. Recreational areas in the core city area 36

K. Other areas in the core city area 36

L. Population of the city 36

M. Number of inhabitants using public transport system daily 23

N. The population growth 36

O. Economically active population 36

P. Number of inhabitants commuting to work 22

Q. CO 2 emissions from large sources 23

R. Dust emissions from large sources 23

Litman [ 2 ] describes the methods for evaluating how transport planning deci-
sions in land how land use planning decisions affect transport. He

uses 12 factors as a location of development relative to the regional urban centre,
which reduces vehicle mileage per capita. The higher number of people or jobs per
unit areas reduces the vehicle ownership, etc. He mentions that actual impacts will
vary depending on speci

fl uence land use —

c conditions and combinations of applied factors.
Similar argumentation about the relation between transportation and land use can
be found in Jacobson [ 3 ] who states that land use type distribution and transportation
system are interdependent. It means that transportation elements have an influence
on land structure and land use has an effect on the transportation network shape. This
relation is extremely important because — from the point of view of road traf c — it

can de ne our living space especially in cities, where the type of transportation is

de ned by its location, and the density of population and spatial structure of land use

types in the area. For example, the street layout with the funnel type of major traf

c
arterials causes congestion in major streets and buildings are set far apart by vast
parking areas, and wide access roads and that discourages walking among them.
The affects of various land use characteristics on travel activity were analysed in
many other publications, e.g. Ristim ki and Kalenoja [ 4 ].

The relation between transport and land use has an impact on business analysis,
especially access management. Banister [ 5 ] emphasizes that transportation infra-
structure is one of the crucial phenomena of economic development. Transportation
is a source of carbon emissions, which are assumed to have an in

ä

fl uence on global