The Role of Native Architecture in Tourism Development with an Emphasis on the Economic Dimension: A Case Study of Kandovan

Native architecture plays a pivotal role in shaping the geographical landscape of a region and significantly contributes to tourists' experiences. The positive impact of native architecture on tourism is crucial, serving as a fundamental aspect intertwined with the culture and history of a particular area. This article delves into the significance of native architecture in the Kandavan region, exploring its influence on attracting both domestic and international tourists and examining the interconnectedness of these factors. The primary objective is to analyze how this architectural style contributes to tourism development and its subsequent effects on the local economy in the Kandavan region. Data essential for this study were gathered through a questionnaire distributed in the geographical area of Kandavan village, located in East Azarbaijan province. The statistical population consisted of 140 rural tourists who were randomly selected and responded to the questionnaires. Statistical analysis was conducted using SPSS software to investigate the impact of local architecture on tourism development. The chi-square test of the logistic regression model was employed to assess the relationship between independent variables, including the role of native architecture, tourism experience, job opportunities, and local business, with the dependent variable, i.e., tourism development. Upon analyzing the data, the results demonstrated that In conclusion, the multivariate regression analysis revealed a significant relationship between the role of native architecture, represented by a positive coefficient of 0.418, and local trade, characterized by a positive coefficient of 0.657, with economic development. These findings underscore the importance of supporting indigenous architectural practices and bolstering local business to expedite the advancement and growth of tourism in the region. Furthermore, statistical tests confirm the significance of these relationships. These analyses provide valuable insights for tourism area managers and economic decision-makers, enabling them to formulate improved strategies for tourism development and implement more effective decisions in the realm of tourism.