Motivational model of sport tourism on development tourism model in Khorasan Razavi

Sport tourism is one of the growing species of tourism in which competitions and sporting events attract a large number of tourists. In this regard, the present study presents strategies for sports tourism development in Khorasan Razavi province.

The research method is descriptive-analytic and library and field studies including direct and regular observation and questionnaire are used to collect information. Cronbach's alpha coefficient was used to obtain the reliability of the questionnaire. The obtained coefficient (0.81) indicates the desired reliability of the questionnaire. In order to assess the validity of the questionnaire, the appearance and content of the questionnaire was confirmed by 50 lecturers and students of sport management and tourism experts in formulating the questionnaire. The groups involved in this research are faculty members of universities, students and graduates of the Ph.D. in Sport & Tourism Management of Universities and senior officials in physical education. The data were analyzed using SPSS software and SWOT model

The results of the research and the model show that aerobics, such as caving, are among the sport tourism attractions of Khorasan Razavi province. Also, several factors affect the process of development of sport tourism in the province. In this study, these factors were assessed in terms of internal factors (weaknesses and strengths) and external factors (opportunities and threats). Accordingly, the most important strength and weakness of sport tourism development in Khorasan Razavi province is the low cost of attending sports events and the lack of use of existing experiences in the field of cross-development of sport and tourism, as well as the most important opportunity and threat in terms of the possible presence of tourists And foreign athletes and the low quality of the services of the tourism agencies

Finally, by combining internal and external factors on the Swat model, defensive strategies were identified as optimal strategies.