Quantitative Analysis of Compensatory Model: Effects of Influence of Shopping Mall on the City Structure

This research showcases multi attribute decision support methodology applied to analyze the impact of shopping malls on the city structure. Influence of shopping mall on the city is described as the sum of effects, which affects the quality of life, the neighborhood, the work of city transportation system and architectural and urban perception of the city. The influence of shopping mall is measured in the form of different attributes rated on a scale and then rating summation is carried using Compensatory model to evaluate each attribute with respect to belief and actual impact. The main attributes are distinguished to measure the influence of shopping malls on quality of life, the work of transportation system, the economics and the architectural & urban perception of the city. The weights of attributes are estimated from a data collected through surveys conducted through an online survey system. The initial rating for the attributes is done through surveys carried out among the experts in the city of Normal and Bloomington. Compensatory models/Multi attribute model is used to evaluate high preference attitude towards ranking the attributes as per the weights estimated through the model. A quantitative analysis using multiple regression analysis is carried out to check the viability of the results calculated through compensatory model. A multivariate correlation analysis is carried out to showcase the interrelation of the attributes and how the change in one attribute showcases a change or stability in another attribute. Overall the research estimates the effect of shopping mall on the city structure where the attributes are rated by the factor of belief and final outcome.