Explain the correlation between creativity variables and the level of creativity in urban areasCase study: Areas of Rasht

The aim of this study was to investigate the correlation between creativity variables with the level of creativity in Rasht and also to identify the effectiveness of each indicator in the realization of urban creativity. To conduct this research, creativity variables in four dimensions including creative infrastructure (13 indicators), creative activities (12 indicators), creative community (9 indicators) and quality of life (10 indicators) were selected A questionnaire technique was used to collect information. According to Cochran's formula, the maximum sample size was estimated to be 384 people. The number of questionnaires in each region was determined according to the relative share of the population in each region. Pearson correlation coefficient and linear regression were used to analyze the data. The results of regression analysis in region one showed that the creative community variable with a modified coefficient of 0.651 has the greatest impact on urban creativity. Also, in the region, two variables of creative community with a modified coefficient of 0.659 have the greatest impact on urban creativity. The results showed regression analysis in region three The variable of creative activities with a modified coefficient of 0.523 has the greatest impact on urban creativity. The results showed regression analysis in region four The variable of quality of life with a modified coefficient of 0.612 has the greatest impact on urban creativity. The results of regression analysis in region five showed that the variable of creative community with a modified coefficient of 0.645 has the greatest impact on urban creativity