جغرافیا و آمایش شهری منطقهای (Dec 2020)
Investigating the Variables Affecting the Resilience of Rural Housing Against Hazards in plain and mountainous villages Case Study: Villages in Central Parts of Quchan
Abstract
Iran is among the top countries in the world in terms of natural disasters and every year a large number of compatriots lose their homes due to these disasters. Accordingly, the issue of safety of rural housing and proper management against hazards is one of the main goals of planning. This research is of applied type and in terms of the method is descriptive-analytical and the required information has been collected in both documentary and field form (researcher-made questionnaire). The purpose of this study is to investigate the variables affecting the resilience of rural housing against hazards in the plain and mountainous villages of Quchan city. The statistical population of the present study consists of heads of households living in 4 plain villages and 4 mountainous villages. According to the 2016 census, the study area had a population of 11,712 people and 3702 households. Using Cochran's formula, 350 people were selected as the sample size and the questionnaires were distributed based on the Systematic Random Sampling among households according to the population of each village. Data analysis and processing were performed using various tests by the SPSS software environment and GIS software was used to prepare the maps. The results of the Chi-square test illustrate that there is a significant relationship between components such as high-interest rates on loans, inability to repay them, and the degree of resilience of rural housing up to 99% confidence level. likewise, the results of the Friedman test indicate that the lack of a valid guarantor, high mortgage interest rates, and inability to repay are the most significant challenges against housing resilience. In addition, the results of Mann–Whitney U test and the independent t-test demonstrate that there is a significant difference up to 99% between the mountain villages and plain areas in various aspects. Moreover, the results of the logistic regression test demonstrate that the 3 studied variables were able to inspect 58% of the variable changes of satisfaction from assistance and the remaining 42% are related to components that were not identified in the present study and can be predicted by other factors. Accordingly, access to fire stations and the quality of connecting roads, especially in mountain villages play an important role in providing on-time assistance to people in the occurrence of natural disasters.
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