Quantitative Analysis of Compensatory Model : The Impact of Shopping Malls on the City Structure

This study showcases the multi-attribute decision support methodology applied to analyze the impact of shopping malls on the city structure. The influence of shopping malls on the city is described as the sum of the effects of 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 out 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 the city structure. The weights of attributes are estimated from the data collected through an online survey. The initial rating for the attributes is done through surveys carried out among experts in the twin cities of Bloomington-Normal. 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 effect of shopping mall on the city structure are analyzed based on the factor of belief and final outcome