Abel Anissa

This research is about neighbourhood environmental qualities around residential condominiums in Toronto. The major objectives are to analyze any relationship between the condo locations and environmental quality of the neighbourhoods, to describe and identify the best/worst environmental quality neighbourhoods, and to analyze the explanatory power of neighbourhood quality in predicting the magnitude of condominium development. The methodology employed includes, Principal Component Analysis which is used to isolate components suited to describe the surrounding areas of condominiums. Weighted Linear Combination Correlation Analysis (WLCCA) is also used to prove/disprove whether there are statistically significant relationships between the condo locations and environmental quality of their residing neighbourhoods. Furthermore, Weighted Linear Combination Regression Analysis (WLCRA) is executed to prove whether building height is associated in any way to the quality of their surrounding neighbourhood. The Principal Component Analysis shows that few condominium locations are classified as good/bad quality neighbourhoods for all environmental quality indicators, but others resulted in different evaluations. These findings are supported by correlation analysis, which substantiates the argument that condominium locations do not have similar environments. In addition, the regression analysis also indicates that the environmental quality of the residing neighbourhood has very low explanatory power on the size of the condominium.