Identify and Analyze the Factors Affecting the Formation of Rural Floating Population (Case Study: Tebadkan Rural District on the Outskirts of Mashhad Metropolis)

Document Type : Research Paper


1 Professor, Department of Geography and Rural Planning, Faculty of Humanities, Ferdowsi University of Mashhad, Mashhad, Iran.

2 Assistant Professor, Department of Geography and Rural Planning, Faculty of Humanities, Ferdowsi University of Mashhad, Mashhad, Iran.

3 PhD Student, Department of Geography and Rural Planning, Faculty of Humanities, Ferdowsi University of Mashhad, Mashhad, Iran.


Today, we are witnessing extensive changes in the movements between cities and villages, so that permanent movement between cities and villages have become daily commutes, which is referred to as population floating. This is more common among the inhabitants of the villages around the metropolises. In addition to economic incentives, various factors can affect the formation and strengthening of the flow of rural floating population. The aim of this study is to investigate the factors affecting the formation of rural floating populations in urban areas. The present research is of applied type and the method of doing it is descriptive-analytical. The statistical population of the study is the households of 20 villages of Tabadakan district around the metropolis of Mashhad. Data were collected using a researcher-made questionnaire and based on research indicators. The results showed that the factors affecting the buoyancy of the rural population can be classified into economic, social, individual, geographical-environmental and institutional factors. Among these, economic factors, social factors and individual factors explained 37.71, 12.13 and 7.78% of the variance of the dependent variable, respectively. Also, the results of the Spearman correlation test showed an inverse relationship with moderate intensity between the two variables of distance from the city and the buoyancy ratio of the rural population. Finally, the results of the logistic regression test indicate that the variables of age, occupation and having a place of residence or home in the city have a statistically significant effect on the dependent variable (floating or non-floating population) and are able to predict changes in the dependent variable.


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