Spatial analysis of quantitative and qualitative factors affecting urban construction in Iran

The purpose of this research is to determine the factors affecting urban construction and to investigate the spatial differences caused by them in the urban areas of the provinces of the country. The type of research is "applied" and its method is "descriptive-analytical" which has been done using "factor analysis" and "cluster analysis" models. The findings of the research show that by reducing the initial 93 indicators to 42 selected indicators, 9 significant factors which calculate and explain 76.79% of the variance of the society are effective in the development of urban construction in the country. Based on this, the country's provinces can be divided into four levels using the cluster analysis model; 7 provinces have the most intense urban constructions. 3 provinces have "relatively high" urban constructions, 9 provinces have "relatively low" urban constructions, and 11 provinces have "weak" urban constructions. Multivariate regression predicts the contribution of "Residential constructions", "Resistance of construction materials" and "Increase of building or construction development" components in the quantitative and qualitative expansion of urban constructions more effectively than other factors.