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Intersections
This last factor involves the analysis of intersections where the more intersections a street race crosses the more unsuitable it is because it can lead to unnecessary and unpredictable factors such as cars or pedestrians that happen to be crossing the street at night. To analysis this, a filter is used to filter out all the road intersections. Using two different 7x7 filters, I am able to capture close to 95% of all the intersections with certain accuracy. Then I combined both filter images using an overlay with the maximum function selected. The intersection values ranged from 0.58 – 1.00.


Road Filter Map 1 '+'
Cross Intersection near Queen Elizabeth Park


Road Filter Map 2 'x'

Diagonal Intersections in Downtown


Road Filter Model



IDRISI’s graphic modeling environment, Macro Modeler, provides a graphic representation of the algorithm and shows the processing flow from the beginning to the end of the method. To find the most suitable locations, certain criteria must be met and evaluated. A Multi-criteria decision models was produced for probable locations for street racing. Roads were used as constraints because street racing takes place on roads. Factors (ie.  slope, police stations, landuse values, and intersections) will be standardized to a scale of 0-255 in the MCE where 0 is not suitable and 255 is perfectly suitable (i.e. the darker the output the better the suitability).


Cartographic Model of all 5 criterions