Document Type : Articles extracted from Thesis
Authors
1 University of Zanjan
2 Department of Geography
3 Master's student, Geography and Rural Planning, Faculty of Social Sciences, Zanjan University, Iran
Abstract
In recent years, with the aim of achieving favorable living conditions and creating equality, justice, reducing poverty and inequality, rural settlements have been exposed to large construction plans and projects with high investment volumes to provide the basis for stabilizing the population in villages. This article examines and evaluates the effects of construction measures carried out in stabilizing the rural population of Ek district. In this regard, the basic question of the research is what is the relationship between the construction measures carried out and the stabilization of the rural population in the study area. The research method is descriptive-analytical in nature and applied in nature. The method of collecting information is library and field methods. The statistical population includes 9 villages of Ek district. Data analysis was done quantitatively using field survey data and census data (1355-1395). Descriptive statistics including mean, median and standard deviation were used for data analysis. Then, using the entropy model, population balance and settlement distribution were measured, and structural equation modeling was used to test the hypothesis. The findings of the entropy model show that in measuring the dispersion and the change in the size of the settlements, the entropy level has decreased from 139.6 in 2015 to 119.7 in 2015. Also, the amount of entropy of distribution and spatial distribution of rural population has increased from 159.9 in 1355 to 148.2 in 1395. The lower the amount of entropy indicates a balanced distribution, therefore, based on the results of the model, the distribution of the settlement system and population at the village level has become more balanced. Also, the results of structural equation modeling show that the effects of construction measures carried out in different dimensions have a significant relationship with the reduction of migration, and the highest correlation coefficient between the two social and economic dimensions is 1.06%.
Keywords
)