Analysis Role of spatial factors in rural-urban labor seasonal migration, Case study: Sarvabad County

This study aims is to explore the role of spatial factors in the rural labor seasonal migration to the cities. For this purpose, of spatial factors, the three components of Earth's average of rural household, distance from city and rural height choose and the seasonal migration from rural areas has been calculated on the basis of these three parameters. The study population will comprise the heads of rural households of Sarvabad County. Of 65 Village in county, 13 villages (20%) randomly selected as sample and of 11700 rural households, 323 heads of households were selected based on logical formula Cochran. In each of the 13 villages 24 questionnaires randomly distribute and completed. Finally, with using the Pearson correlation between immigration and spatial factors, distance, the household average of land and village heights has been investigated. Descriptive findings showed that the largest number of immigrants stay to 4 months in the seasonal migration (54%), seasonal migration for 48 per cent up to 10 years .More immigrants are spring migrants season (60%) and the return spring season (60%), autumn season is (39.3). Seasonal migrants jobs for 57% of the sample, is a construction worker. According to Pearson, two parameter of the land average of household and distance from the city with measure of seasonal migration has been highly correlated and altitude of villages is no correlated. Accordingly, we can conclude spatial factors in the development of seasonal migration of rural labor force are involved in the Sarvabad County.