Evaluation of Satisfaction with Post-War Reconstruction in light of the Sense of Belonging in the Survivors, A Case Study: Rafi, Khuzestan province

Evaluating and documenting post-war reconstruction (one of the most complex types of reconstruction processes) is a good way to learn from possible future accidents. The 8-year war between Iran and Iraq ruined the city of Rafi completely. The process of reconstruction began after the liberation with a different approach to other experiences (emphasis on the promotion of the role of survivors and attention to their needs and wants). The aim of this study was to evaluate the success rate of Rafi reconstruction from the perspective of creating a sense of belonging in residents, as one of the most important determinants of residential satisfaction. The research approach is quantitative and qualitative. The three main hypotheses of the research are based on the effect of satisfaction and sense of belonging in post-war reconstruction on the revival of social and economic traditions, as well as rebuilding in-situ and land ownership preservation. Samples of the study have been collected in a random-cluster method, and the necessary data for testing the research hypotheses was collected through questionnaires, field studies, and interviews. The research hypothesis was then tested using a dependent t-test. The average obtained for the process of reconstruction and creating a sense of belonging through the revival of social and economic traditions of the people (Hypothesis 1) 2.43 out of 5; creating a sense of belonging to the place of residence by in-situ building and maintaining land ownership (Hypothesis 2) 3.45 out of 5; and the degree of desirability of this process for people (Hypothesis 3) is 2.87 out of 5 on the Likert scale. As a result, the first and third hypotheses are rejected and the second one is accepted. At the end, according to the unique features of the high reconstruction process, a set of tips and suggestions for application in future experiences is presented by prioritizing research indicators.