Investigating Factors Affecting City Migration Using the Amos Structural Equation Modeling and Fuzzy Hierarchy Process Analysis (Case Study: Ahwaz City)

The phenomenon of migrating from the city is a dynamic process that various factors can affect. This group movement is the result of the opinions and decisions of individuals who migrate to achieve better prosperity and better facilities. In this regard, the present paper aims to investigate the factors affecting immigration from Ahwaz city. The research method was descriptive, analytical, and the basis of the study was based on the completion of 390 questionnaires in the seven-year-old areas of Ahwaz. To analyze the data, descriptive statistics and inferential statistics were used in the form of SPSS19, AMOS18 and Excel software. In order to identify the research indicators, the decision making committee was composed of 10 experts and experts and the factors influencing immigration from Ahwaz were identified and modeled in 3 categories and 13 sub-groups. The fuzzy hierarchy analysis (FAHP) model was used to analyze the obtained data from the expert's opinions. In line with the research hypothesis, using Pearson correlation coefficient, we measured the relationship between economic, environmental and social factors with the phenomenon of immigration. The research findings indicate that: 1. Environmental index with a score of 507/0 has the highest score for influencing migration from Ahwaz. 2. Economic index with a score of 254/0 is in the next rank. The 3-point social index with a score of 0/20 has the least impact on the migration from Ahwaz. 4. Analysis of the structural equations of the AMOS model in order to meet the three research hypotheses indicates that economic index (R214 / 2C), environmental (4 / 8C / R) and social (2 156 / 2C). R) each with a significance level of 0.05 have a significant relationship with the migration of people from Ahwaz city, thus, all three hypotheses proposed in this research are confirmed.