Investigating the relationship between attraction of settlements and migration rate by combining Gravity and Regression Model - Case study: Cities of Isfahan Province (2011-2016)

People migrates for various reasons in order to improve Living conditions.Although scholars disagree about the causes of migration, but in general, the reasons for migration can be divided into two groups: economic and non-economic. In other words, it can be said that economic and non-economic attractions cause migration. Although international migration has attracted more attention in academia, it must be kept in mind that the volume of domestic migration is much larger than that of foreign migration. In Iran, after the land reform and the tendency of central planning to industrialize the country, with the shaking of the rural production system and the prosperity of the oil economy in the city, the migration of rural to the city began and so far most research are concentrated on rural migration to city and the problems created in this process and intercity migration have not been studied; Therefore, the purpose of this study is to investigate the relationship between the attractiveness of cities and the rate of their immigration in Isfahan province between 2011-2016. For this purpose, the economic and non-economic attraction of the cities in the mentioned years was calculated using the gravity model. Then we created a regression relationship between the logarithm of the rate of migration of cities as a dependent variable and the amount of economic and non-economic attractiveness of cities as independent variables. The model was significant at error level of 5% and the coefficient of determination of model was 0.70, which indicates a good fit of the model. The results show that in Isfahan province in the mentioned years, the most important reason for internal migration is non-economic motivations.