Post-Covid-19 Tourism Recovery Model based on Virtual Tours Tehran Metropolis

With the widespread outbreak of coronavirus (Covid-19), this industry was more affected by the negative effects than other industries due to its service nature and human communication. So that for a long time all tourism activities around the world stopped. In this regard, the purpose of this study is to identify the main factors affecting the recovery of tourism in the post-Covid-19 era based on virtual tours and finally to present a model for the metropolis of Tehran. The present research is applied and in terms of content and method, is in the category of descriptive-analytical research. The statistical population of the present study includes experts and specialists in the field of tourism and urban planning. The volume of the statistical sample is 148 people which is calculated through Sample power software. SPSS and Smart-PLS software were exerted to analyze the data. The findings of data analysis showed that policies and institutions with a coefficient of 0.884, infrastructure and virtual equipment with a coefficient of 0.652, advertising and information with a coefficient of 0.637, understanding of virtual tours with a coefficient of 0.445, the tendency to visit the destination with a coefficient of 0.364, respectively, have the greatest impact on the recovery of post-Covid-19 tourism. Therefore, it is clear that the criteria under study are interconnected in a chain. It is necessary for managers and relevant officials to continuously focus on the criteria and integrate them to achieve tourism recovery.