Assess strengths and weaknesses of the model and suggest recommendations for future research.
The model was successful in its purpose of identifying the optimal census tracks for development, however, due to the inaccessibility of certain data layers and the restrictions of the available data sets, it could be improved upon. It is believed that if these conditions were met, the model would have been as accurate as possible. Strengths are described to show the ideal uses and reasoning for the model.
Inclusivity: The multi-criteria evaluation model allows for all necessary factors important to the focus of the study, in this case those are a mix of socio-economic and physical facters.
Easy Analysis: Can make direct comparisons to metrolinx proposed site by analyzing in which of the census tracts the proposed stations fall under and comparing the scores of those census tracts with the optimal ones found in our study.
Ease of Use: Model is very intuitive so it would be easy for decision-makers and developers to use and understand. The straightforward design creates a simplistic visualization that is easy to interpret by both managers and the public while still providing a large amount of necessary information.
Specific factors have been selected based on literature review to focus the scope of our study. As well, our scale is restricted to that of the census tracts rather than specific points along the rail. This leaves room for extended research based on other factors of interest that may be relevant to other developments.
No employment: Metrolinx (Metrolinx, 2015b) statistics show that 89% of riders use the train to get to work. Statistics Canada does not contain information about employment because of privacy reasons so it was not available on a census tract level. Other correlated indicators were used (education level and income) to determine where working class people may be located.
Restricted to census tracts: Data was collected from Statistics Canada which aggregates data by census tract. Since tracts can be any physical shape or size, buffers were used to ensure that areas within a distance from the track were considered, and not just those intersected by the rail line.
Data limitations: Mostly for areas such as highway junctions or parks, no data existed as there are no residences. Their absence does not affect the results due to the chosen factors and is noticed for completeness.
Allocating weights in any evaluation is a comprimise as it values some things over others and those values are bound to change over time. This model is a representation of the issues at the time of creation, and these factors may change if the model is used into the future.