Zhang Yang, Jin Xue, Liu Rongtian, Wang Yuwei, Jing Ying
School of Civil Aviation, Xi'an Aeronautical University, Xi'an, Shaanxi, China.
School of Economics and Management, Chang'an University, Xi'an, Shaanxi, China.
Heliyon. 2024 Jul 6;10(14):e34246. doi: 10.1016/j.heliyon.2024.e34246. eCollection 2024 Jul 30.
Despite China's building into a leading sporting nation and sport-tourism integration high-quality development strategy in the 20th National Congress of the Communist Party of China, existing tourism studies seldom concern sport-tourism integration, especially their spatial hot spots and evolutional trend based on geospatial big data. This study aims to probe into the spatiality and the underlying mechanism of sport tourism through internet attention data in 2015, 2018, and 2021 by social network analysis, with a specific focus on aero-sports tourism. Shaanxi Province is chosen as the study site given its advantages of rich aero-sports tourism resources and various aero-sports modes (e.g., sky diving, paragliding, etc.). The results are concluded: (1) At the provincial scale, the aero-sports tourism internet attention shows a pattern of "strong in the middle and weak in the north and south". (2) At the regional scale, the sub-group clusters within the three specific regions (Shanbei, Guanzhong, and Shannan) of Shaanxi Province turn to be inter-regional clusters. Guanzhong region, especially with Xi'an as the core, is dominant in connecting its peripheral area. Since 2016, the radiation effects of the Guanzhong Region have shown a homogeneous trend of yearly growth and effect strengthening, yet become loosely connected with a heterogeneous trend in 2021 due to the COVID-19 epidemic. (3) At the city scale, the core area of aero-sports tourism internet attention expanded from Xi'an and Xianyang to Yulin and Baoji from 2015 to 2021, resulting from urban economic strength and aviation flight camp club development. (4) The number of general aviation manufacturers, tourist attendance, and tourism revenue significantly affect aero-sports tourism internet attention.
尽管中国正在建设成为体育强国,且在党的二十大提出了体育旅游融合高质量发展战略,但现有的旅游研究很少关注体育旅游融合,尤其是基于地理空间大数据的体育旅游融合的空间热点和演变趋势。本研究旨在通过社会网络分析,利用2015年、2018年和2021年的互联网关注度数据,探讨体育旅游的空间性及其潜在机制,特别关注航空体育旅游。鉴于陕西省拥有丰富的航空体育旅游资源和多样的航空体育模式(如跳伞、滑翔伞等),故选择陕西省作为研究地点。研究结果如下:(1)在省级尺度上,航空体育旅游互联网关注度呈现“中部强、南北弱”的格局。(2)在区域尺度上,陕西省三个特定区域(陕北、关中、陕南)内的子群簇转变为跨区域集群。以西安为核心的关中地区在连接其周边地区方面占据主导地位。自2016年以来,关中地区的辐射效应呈现逐年增长且效应增强的同质化趋势,但在2021年由于新冠疫情而呈现出松散连接的异质化趋势。(3)在城市尺度上,2015年至2021年期间,航空体育旅游互联网关注度的核心区域从西安和咸阳扩展至榆林和宝鸡,这是城市经济实力和航空飞行营地俱乐部发展的结果。(4)通用航空制造商数量、游客到访量和旅游收入显著影响航空体育旅游互联网关注度。