چكيده لاتين :
Today, small towns are one of the tourist attractions. The level of environmental quality determines how much tourists are attracted in such tourist destinations. The small town of Color is one of the functions of Khalkhal city in Ardabil province, which is visited by many tourists due to its suitable climate and the existence of numerous natural attractions. But nowadays, this tourism potential is not used properly to attract the maximum number of tourists. The purpose of this study is to evaluate the impact of environmental quality based on physical-environmental, functional-structural, socio-cultural and managerial components, and its relationship with tourist attraction in this small city.
Keywords: Environmental quality, tourist destination, small towns, color city
Extended Abstract
Introduction:
Today, one of the attractive destinations for tourists are small towns, which are taking the form of tourism development in various dimensions in such cities. Therefore, in order to achieve the goal of attracting tourists to tourism destinations in small cities, examining the quality of environmental services is of great importance in the process of attracting tourists. The quality of provided services has a direct impact on attracting tourists.
Strengthening infrastructure, preserving landscapes and the environment, and framework reconstruction improve the appearance and small towns’ image from the perspective of tourists and strengthen the quality of the environment to attract tourists.
Methodology:
This research’s approach is descriptive-analytical. Library method and field studies have been used to collect information. The main data collection tool is a researcher-made questionnaire. The tools for measuring and analyzing the data are statistical methods (parametric and non-parametric) and SPSS software. Cochran's formula was used to determine the number of samples and 200 people were interviewed as statistical samples. The variables used in this research are: environmental quality components (independent variable) which include physical-environmental, socio-cultural, structural-functional, managerial components and the dependent variable of this research is tourist attraction.
Findings:
Since the attraction and loyalty of tourists to the tourism destinations is highly dependent on their satisfaction with environmental conditions and quality, through the T test, we examine the extent and intensity of the impact of the four components of environmental quality on tourist attraction. According to the average of numerical desirability in the studied components (number 3), the majority of the studied items have an average higher than the desirability. Due to the significant level at the alpha level of 0.05, all indicators have direct effects on tourist attraction and this point also has an effect on tourist satisfaction. Data analysis of Table shows that the physical-environmental component (with an average of 4.14) has the highest average percentage among the four components and social, cultural and managerial, functional-structural components are in the next ranks.
The greatest impact on the rate of tourist attraction in the study area is in the physical-environmental dimension, the second rank belongs to the socio-cultural component and the least impact on the tourist attraction belongs to the components of urban management.
The greatest impact on the rate of tourist attraction in the study area is in the physical-environmental dimension and the second rank belongs to the socio-cultural component and the lowest impact on the tourist attraction belongs to the components of urban management.
In order to measure the importance of dimensions and components of environmental quality, stepwise regression was used. The results of stepwise regression analysis show that the physical-environmental component with a coefficient of determination (R2) of 0.848 has the greatest impact on tourist attraction in the area.
Conclusion:
The choice of urban tourism destinations by tourists is influenced by various factors, one of the most important of which is the role of environmental quality factors that guide tourists in choosing a tourist destination to small towns.
In this study, an attempt was made to explain the role of environmental quality in attracting tourism to tourism destinations in the small town of Color in Ardabil province.
According to the obtained results, it can be said that the components of environmental quality are effective in introducing and attracting tourists, and the set of components of environmental quality provide the basis for tourists' satisfaction
The results showed that tourists in the level of alpha 0.05 have been satisfied with the environmental quality of tourism in the city in all areas and most of it is related to the physical-environmental component with an average of 4.14 and socio-cultural, managerial and functional-structural components are in the next ranks, Therefore, it can be said that the physical and environmental factors of the tourist destination, which have the components of quality of space and tourism facilities, weather conditions, green space, visual beauty, have had a significant impact on attracting tourists in the small town of Color. The physical components of the environment can provide a competitive environment for choosing a tourist destination in this city. Significant regression results also showed that the physical-environmental component with a beta coefficient of 0.183 is more effective in attracting tourists than other components. As a result, it has the necessary explanatory power over other variables.
percentage among the four components and social, cultural and managerial, functional-structural components are in the next ranks.
The greatest impact on the rate of tourist attraction in the study area is in the physical-environmental dimension, the second rank belongs to the socio-cultural component and the least impact on the tourist attraction belongs to the components of urban management.
The physical-environmental component has a significant effect on tourist attraction. This effect is also evi In order to measure the importance of dimensions and components of environmental quality, stepwise regression was used. The results of stepwise regression analysis show that the physical-environmental component with a coefficient of determination (R2) of 0.848 has the greatest impact on tourist attraction in the area. Has been studied. Dent in the value of the standardized beta coefficient.
Conclusion:
The choice of urban tourism destinations by tourists is influenced by various factors, one of the most important of which is the role of environmental quality factors that guide tourists in choosing a tourist destination to small towns.
In this study, an attempt was made to explain the role of environmental quality in attracting tourism to tourism destinations in the small town of Color in Ardabil province. According to the obtained results, it can be said that the components of environmental quality are effective in introducing and attracting tourists, and the set of components of environmental quality provide the basis for tourists' satisfaction.
The results showed that tourists at the level of alpha 0.05 have been satisfied with the environmental quality of tourism in the city of Color in all areas and most of it is related to the physical-environmental component with an average of 4.14 and socio-cultural, managerial and functional-structural components. Are in the next ranks. Therefore, it can be said that the physical and environmental factors of the tourist destination, which have the components of quality of space and tourism facilities, weather conditions, green space, visual beauty, have had a significant impact on attracting tourists in the small town of Chlorine. The physical components of the environment can provide a competitive environment for choosing a tourist destination in this city. Significant regression results also showed that the physical-environmental component with a beta coefficient of 0.183 is more effective in attracting tourists than other components. As a result, it has the necessary explanatory power over other variables.
