Document Type : Research Article
Authors
1
PhD Candidate of Geography and Rural Planning, Rasht Branch, Islamic Azad University, Rasht, Iran
2
Professor of Geography Department, Rasht Branch, Islamic Azad University, Rasht, Iran
3
Assistant Professor of Geography Department, Rasht Branch, Islamic Azad University, Rasht, Iran
Abstract
The current research aims to investigate the economic resilience of the touristic villages of Rasht County against the Covid-19 disease. The current research is applied according to its purpose and the study method is descriptive-analytical according to the method and nature of the research. To collect information, library methods, documents, direct observation methods and field methods have been used. And in order to analyze the data, SPSS software, GIS and Mamdani and Dimtel fuzzy models have been used. Based on the data analysis, the economic resilience of touristic villages in Rasht County against the corona disease is very low. And based on the results of Detmel's model; The indicators (job and activity flexibility, having economic and financial support, having economic and financial capability, flexibility against shocks and finally economic innovation and creativity) are placed in the positive half of the diagram of causal factors. which shows the high influence of these indicators and the indicators (psychological flexibility, solution-seeking, low economic vulnerability, adaptability and adaptability, financial management) are placed in the negative half of the chart of disabled factors which shows the high effectiveness of these indicators. Based on this, it was determined that among the cause indicators, in order: economic innovation and creativity, having economic and financial support, having economic and financial capability, job and activity flexibility, having support economic and financial), have the most and the least influence on the longevity of people in the tourism sector. In the following, the results of the spatial analysis of the villages of Rasht County based on their economic resilience against Corona showed that more than half of the studied villages have economic resilience against Corona in the range of (low and high) is low).
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