Laila Vossoughi; Zohre Kiani feizabadi; Azam Nejaddehbakri
Abstract
Today, the growing demand for traveling to attractions disastered by natural and human disasters has created a new type of tourism. According to tourism industry activists and planners, tourism development in these sites could be effective in recovering them. Hence, paying attention to demand, as an ...
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Today, the growing demand for traveling to attractions disastered by natural and human disasters has created a new type of tourism. According to tourism industry activists and planners, tourism development in these sites could be effective in recovering them. Hence, paying attention to demand, as an important part of the tourism system, attributes are important. Accordingly, in this article, assessing demand attributes on the after-the-earthquake Arg-e Bam (one of the cultural properties inscribed on the UNESCO World Heritage List) after recovering was considered. the present research in terms of purpose is an applied one and the methodology in which used is a descriptive-survey one. The statistical population of the study consists of visitors who visited Arg-e Bam during the first three months of 1396; According to the Morgan table and statistical surveys, 200 individuals were estimated as samples by the simple random sampling. The measuring tools SPSS 22 and AMOS software have been used for analyzing the research data, modelizing path analysis equations, and doing statistical tests. The research results show that there is a significant relationship between demographic attributes of demand (age, gender, and education level) and motivation of visitors; there is a positive and significant relationship between behavioral attributes of demand (motivation, purpose, and number of trips) and satisfaction of visitors, also there is no significant relationship between visitors’ satisfaction and their loyalty, and significantly positive effect of the destination image (positive and negative) on the motivation of the visitors, and no significant effect of the destination image (positive and negative) on visitors’ satisfaction and loyalty.
