Examples of the Implementation of Fuzzy Models in Tourism in the South Moravian Region - Geoinformatics for Intelligent Transportation - page 169

7 Solution of Bike Trail Dif culty Rating

When we think about cycle route, we consider time, weather, trail length, points of
interest and we solve the route dif nd out the

route quality and suitability for different categories of target bikers. Bike trail
dif

cultness or demandingness, too. We

culty recognizes whether the route is suitable for families with children, for
recreational sportsmen, maybe for athletes. In 2003 and 2005 the projects were
made with intent to collect information about cycle routes and their facilities. In
2007 the data were updated by terrain research, especially the status of surface and
dif

culty of bike trails.
During actual checking well-known routes it was veri ed that the characteristic

of bike trail dif culty has already disagreed with the reality. Each rating depends on

time, it is affected by the subjective view and data collection is a hard task in terrain.
Therefore, we need to utilize another approach for instance by fuzzy reasoning. The
slope and the quality or the type of the road surface which were chosen as analytical
inputs impact on the dif

culty.
The data are published on the web cycling portal of the South Moravian Region
http://www.cyklo-jizni-morava.cz , including the interactive bike trail map with
choosing routes and points of interest.
The modelling is accomplished over rasters in ArcGIS 10.1 using ModelBuilder
and geoprocessing tools, especially Spatial Analyst Tools — Fuzzy Membership,

Fuzzy Overlay, Raster Calculator, Cell Statistics and Python.

7.1 Methods

We use two input variables, X 1 for the type of the road surface and X 2 for the angle
of the slope (both de ned by crisp values) and output variable Y for the bike trail

dif culty.

Assume the following input and output fuzzy subsets which are given by verbal
values and rules representing their relationship.
Type of road surface (data CEDA StreetNet 2012)
K 1 paved roads (asphalt, pavement, concrete)
K 2 maintained roads (unpaved, gravel)
K 3

other unpaved roads (forest and cart roads)

Angle of slope (DMT 2012, in degrees, cells size 10 m)
S 1 moderate slope
S 2

steep slope