Urban tourism revitalization strategy for the post-corona virus (Covid-19) era based on spatial modeling approach

Interest in urban tourism since the early 1980s has greatly changed the trend and methods of tourism (Cianga & Popescu, 2013: 34). Thus, achieving sustainable urban development has always been one of the most important concerns of urban planners. Cities, as a collection of components, spaces, cycles and governing laws, regardless of their current relationships, as the most attractive tourist places, can provide various manifestations of beauty, services and peace for local residents and visitors.Therefore, achieving sustainable urban development has always been one of the most important concerns of urban planners. Therefore, one of the most effective processes of sustainable urban development is tourism, which can become the most important economic poles of cities. However, in the last two years, the corona virus epidemic has directly affected cities and its developments. The present study evaluates the tourism potential of Tabriz metropolis for the development of this industry with a branding approach for the post-epidemic period of Covid-19 with a macro and comprehensive management perspective based on spatial information system, reference location factors and spatial analysis.

The research process is based on data, GIS and hybrid modelling approach. First, 18 social, environmental, meteorological and physical factors affecting the potential of urban tourism were selected and the data became a place from a non-spatial dimension. Data localization process was done in ArcGIS 10.5 software and 18 raster factors were produced. After that, Pearson's correlation was used to ensure the absence of a linear relationship between the factors and the independent effect of each of them. Then, based on the impact of each of the factors, their standardization was done using the increasing and decreasing method in a binary way.

In the present study, all linear correlations are less than 0.7 and all factors will have a unique impact on the modelling output. Also, the density factors of single citizens (0.154), population density (0.153), density of married citizens (0.151) and density of employees (0.135) are of the highest importance and are key factors affecting the development of urban tourism, respectively. Although social factors have a higher impact, all factors have weights higher than 0 and a significant impact. The output maps of the two models used in this study indicate the high potential of tourism in areas 2, 3, 6 and 7.

High-risk areas with high impact of the epidemic have a higher potential for tourism. Using the branding approach, an exciting and attractive atmosphere can be created to attract domestic and foreign tourists.