After defining 60 m of space around each route, suitability
scores for each corridor are extracted, and Table 4 summarizes the
results. Route 1 shows the lowest suitability scores in the grand
total, whereas Route 2 results in the highest. Looking at the
numbers in detail, it is evident that each route ranked good suitability
- low suitability scores in its prioritized variables. This is a
reasonable output as the initial intention for dividing the variables
into groups is to purposely avoid and detour around those variables
in each factor structure. Route 1 scored the lowest in suitability
score for Population Density, Job Density, and Occupancy Rate
variables, all of which represent the Socio-Demographic Factor.
Route 2 scored the least in Road Network, Noise, and Land Use
variables, and Route 3 indicates the lowest suitability scores for the
variables in Factor 3, Ground Resources. Route 4, designed to avoid
the variables in Factor 4, Water Resources, accordingly demonstrates
the lowest suitability in Hydrology, Floodplain, andWetland
variables. Finally, Route 5 scored the least suitability in Factor 5’s
Slope, Vegetation, and Productive Farm variables. This result indicates
that the proposed modeling process reveals the possibility
of maintaining the research proposition. As stated in the research
question two, if the modeling process is correctly carried out, the
outcome should indicate lowest suitability scores for each corresponding
variable and Table 4 clearly shows the evidence.