Geoscience Reference
In-Depth Information
minimal number of facilities that cover maximum demand points. This analysis
determines the suitable number of the rental station. The address data was input to
the location analysis as demand points. The last step was the suggestion of capacity
of stations.
3 Raster of Suitable Areas
The
first spatial analysis was the creation of suitable areas for location of rental
stations. Suitable areas were created as a weighted raster that expressed the high
population movement. The pixel size was discussed. The sizes 10 and 20 m were
tested. The size 10 m better expresses the situation near the streets in the centre of
the town.
Input data for the raster were vector data: street lines, bicycle lane/path, station of
public transport and railway stations. All these data were actualized and veri
ed in
summer 2012 [
8
]. Stations of public transport and railway stations are important.
The continuation of bus transport with cycling is supposed [
7
]. Buffer zones (50 m)
of these points and the line vector data were converted to the rasters. In addition,
another data were considered. Data about commuters were taken from the Czech
Statistical Office. Commuters are supposed to be a client of rental stations. Number
of commuters was originally assigned to the street lines. Accommodation facilities
and their capacities were multiplied by 0.29. The occupation of hotels is 29 % in
average. All these data and address points with the number of inhabitants were
converted to the separate rasters. The last input data was vector polygon theme
—
land use that was also converted to the raster [
9
]. The building block areas and
water had value 0. All rasters were reclassi
ed.
Using tool Raster Calculator from Map Algebra toolset was created the
nal
raster of suitable areas. The scale of weight was from 0 to 9. The weight 0 means
“
unsuitable area
”
, the weight 1
3 means
“
not much suitable area
”
, the weight 4
6
-
-
means
“
suitable area
”
and the weight 7
9 means
“
the most suitable area
”
. The detail
-
part of raster of suitable areas is in Fig.
1
. The
calculation of
raster of suitable areas was tested for two municipal parts of town. One part was
from the centre of town, and the second one was neighbourhood municipal part.
Finally, the weights of suitability from raster were assigned to the address points.
These address points were the input for next network analyses as potential places of
self-service stations.
The steps of input data preparing and next spatial processing were assumed to
record as a model (data
first step of analysis
—
flow diagram) in ModelBuilder. The advantage would be an
automatic batch processing and repetitive using of model [
10
,
11
]. The idea was not
realized due to the necessity of manual setting of class in reclassifying process.
fl
Search WWH ::
Custom Search