Objective 4 - To evaluate the strengths and weaknesses of the GIS MCE model.
It is recognized that the model is only able to recommend an area at the scale of the coarsest data used, in this case census dissemination area. Therefore, the model can be used to determine which census dissemination areas to further investigate. The model accounts for uncertainty regarding the weighting of criteria, as it is recognized that the weights assigned to our model are largely subjective. This is done by adjusting the individual weights within the pair wise chart to manipulate the importance of factors based on the specific siting of a dispensary. This is easily accomplished based on the design of our pairwise model, using Microsoft Excel to revise calculations quickly. Accounting for this uncertainty is considered good practice in objective MCE analysis, and allows for analysis of results based on criteria weight sensitivity (Feick, 2004). The model uses alternatives in selected pairwise ranks to change the scale of criterion, observing impacts on MCE outcomes (Feick, 2004).
Weaknesses and Limitations
The limitations of our model are mainly concerned with accounting for additional information that might be seen as important when determining the location of a dispensary or any other commercial store. This includes not being able to account for criteria such as average income and demographics. The reasoning behind this is that our model pertins to data according to the dissemination area and this data is only availble as a census tract. Another limitation of our model is how dissemination areas that are not approved for development are ruled out of consideration completly, even if there are certain locations within the dissemination area that could be permitted for a dispensary.