Immigration is of great importance in Canada. Each year thousands of individuals migrate into the nation and reside is various places within. One such region where new immigrants commonly reside in, is the Greater Vancouver Regional District. The Greater Vancouver Regional District (GVRD) has an area of 2,877 km2 originally classified into 24 individual members of cities, villages and districts (Metro Vancouver, 2011). In the GVRD 40% of the total population are immigrants (Metro-Vancouver, 2011). Thus, immigration is a significant topic when discussing the GVRD.
When people migrate to a new location, they must initially decide on where to reside. They would consider questions such as: Where should I live within the GVRD so that it is the most beneficial for me, and meets the requirements that I desire? This, ideally is the objective of this project; to determine the ideal locations for new immigrants to live in within the GVRD.
In order to determine the ideal locations, initially one has to determine the factors considered when determining that particular location. In addition, in order to accomplish the desired results a Multi-Criteria Evaluation (MCE) will be performed on the data. An MCE is the ideal method because determining the best location to live in will require distinguishing and accessing many factors or requirements the individual desires. This means that the most suitable locations will possess a variety of attributes and factors that satisfies the objective of the project. In addition, I will be conducting a non-Boolean standardization form of MCE. This differs from MCE that utilizes Boolean images and assigns each factor as either suitable or unsuitable. Non-Boolean standardization enables all the factors to be assigned a level of suitability based on a continuous scale (Eastman, 1999). This scale ranges from 0 to 255 in its level of suitability with 0 being the least suitable and 255 being the most suitable. Furthermore, I will be performing the Weighted Linear Combination (WLC) function on the factors. This method allows one to allocate a specific weight to each of the factors thus enables me to choose the level of importance of each of the factors.
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