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Explora: Environment
            and Resource                                                                Tourism resources of Xinjiang



            1. Introduction                                    heatwave conditions, and the distribution of tourism
                                                               destinations in Xinjiang.
            1.1. The practical background
                                                               1.3. The significance of the study
            Xinjiang, China, is located in the heart of the Eurasian
            continent, with a diverse and complex landscape that   Based on the tourism resource database for Xinjiang, we
            includes mountains, deserts, grasslands, basins, rivers,   conducted a comprehensive analysis of the distribution
            and lakes, forming various unique natural destinations.   characteristics of tourism destinations in Xinjiang, as
            The  region’s  long  geological  development  history,   well as the spatial coupling features of elevation, rivers,
            complex geological structures, and volcanic activities   roads, and the heatwave index. By reviewing yearbook
            have preserved several rare geological relics.  Xinjiang   data, we analyzed the tourism revenue in Xinjiang from
                                                  1
            is home to 13 indigenous ethnic groups and serves as   1990 to 2023. Based on the data and analysis, our study
            a core area for the blending of Eastern and Western   offers suggestions for the development of tourism in the
            cultures, offering unique resources for ethnic cultural   region. This study provides a systematic summary of
            tourism.  In addition, Xinjiang borders eight countries   the  tourism  situation  in  Xinjiang,  offering  support  for
                   2
            and has 17 open ports, giving it a geographical    further research, regional tourism resource planning,
            advantage for the development of cross-border      environmental protection, and tourism policy-making in
                   3
            tourism.  However, partly due to the long distance from   the future.
            the east, to date, research on the distribution of tourism
            resources in Xinjiang has been limited. 2,4,5  The large-  2. Materials and methods
            scale study across China covers very little information   2.1. Data sources
            about Xinjiang.  Although tourism revenue in the
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            region has seen continuous growth in recent years, a   The data on the distribution of tourism destinations in
            detailed analysis of the overall situation is still lacking.   Xinjiang were mainly derived from the database of the
            Most existing studies focus on specific issues, and the   Chinese  Academy  of  Sciences.   This  database  records
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            tourism revenue data used covers only a short time   630 major tourism destinations in Xinjiang, with detailed
            span. 3,7,8                                        information available for 500 of these places, representing
                                                               the main tourism resources in the region. The tourism
            1.2. The empirical background                      revenue data for Xinjiang were primarily obtained from
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            Tourist behavior is influenced by factors such as   yearbooks  and the statistical bulletins on the national
            the characteristics, accessibility, and comfort of the   economy and social development of the region for 2022
            destination.  The elevation, regional river system   and 2023, published by the Statistic Bureau of Xinjiang
                      9
            distribution, and road network of a tourism destination   Uygur Autonomous Region (https://tjj.xinjiang.gov.cn/).
            can impact tourists’ travel choices. For example,   The  heatwave data  for  Xinjiang were  taken  from  Dong
                                                                    10
            compared to northern Xinjiang, the lower accessibility   et al.,  and the calculation method for the heatwave
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            of tourism destinations in southern Xinjiang results   index was based on Russo and Domeisen.  The elevation,
            in limited tourism development in the region.  Under   major roads, and river data for Xinjiang were sourced
                                                    4
            the global climate change and shifts in environmental   from the Chinese Academy of Sciences Resource and
            factors, the effects of extreme heatwaves on tourism in   Environmental Science data platform (https://www.
            Xinjiang are becoming more evident. Heatwaves refer   resdc.cn/).
            to prolonged periods of abnormally high temperature.
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            At  present, the heatwave  index  is  commonly used to   2.2. Methods
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            characterize  regional heatwave conditions.  High   The tourism destinations were primarily categorized
            temperatures and heat waves can affect the travel   into five types: (i) geomorphological landscape, (ii)
            experience of tourists. If hot weather persists, it may   water scenery, (iii) biological landscape, (iv) historical
            force tourists to cut their trips short or choose other   site and architecture, and (v) leisure, education, and
            destinations, which can, in turn, impact tourism   exercise. The distribution characteristics of each type
            revenue. Some tourism destinations in Xinjiang that are   of these destinations in Xinjiang were analyzed, and
            less affected by heatwaves may become more attractive   ArcGIS 10.3 was used to map the distributions of
            choices, while conversely, destinations that offer high-  tourism destinations. In addition, by incorporating the
            temperature experiences may also attract some visitors.   elevation data for each destination, the distribution
            However, there has been no analysis of the relationship   of  each  type  of  landscape  across  different  elevation
            between elevation, river systems, road networks,   ranges was statistically analyzed. The coupling of


            Volume 2 Issue 2 (2025)                         2                           doi: 10.36922/EER025060010
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