摘要
虚拟现实技术在旅游业的广泛应用催生了虚拟旅游这一新生事物。本研究基于中国542家虚拟旅游景区浏览量数据,运用泰尔系数、核密度分析、回归模型等方法,分析虚拟旅游景区浏览量的规模特征及其影响因素。研究表明:(1)中国虚拟旅游景区规模尚小,省级空间尺度的分布与5A级、4A级旅游景区空间格局基本吻合。(2)虚拟旅游景区浏览量的规模随景区质量等级降低呈现递减规律,且等级越高,内部差异越大;地文景观类和水域景观类的虚拟旅游景区数量较少,但平均浏览量高于其他类型的虚拟旅游景区;东部和西部地区浏览量规模的省际差异大于中部和东北地区;假期与平时的浏览量规模波动幅度较小。(3)虚拟旅游景区浏览量受城市经济属性、社会属性、景区属性等多种因素影响,其中,地区第三产业占比、5A级旅游景区数量和移动手机用户数量等因素的影响最为显著。研究揭示了中国虚拟旅游景区浏览量的基本规律,为虚拟旅游景区发展提供理论支撑。
The wide application of virtual reality technology in the tourism industry has given birth to the new form of tourism,i.e.virtual tourism.In this paper,we collected data on the views of 542 virtual tourist attractions,analyzed the scale characteristics of the view volume of virtual tourist attractions by using the Thiel coefficient,kernel density analysis,and we built regression models to analyze the influencing factors of the views of virtual tourist attractions.The research shows that:(1)The scale of virtual tourist attractions in China is still small,and the distribution of provincial spatial scale is basically consistent with the spatial pattern of 5A and 4A scenic spots.(2)The scale of view volume decreases with the decrease of scenic spot level,and the higher the level,the greater the internal difference;the number of virtual tourist attractions in the categories of geographic landscape and water landscape is relatively small,but the average view volume is higher than other types of virtual tourist attractions;the provincial differences in the scale of view volume within the eastern and western regions is much larger than that in the central and northeastern regions;the fluctuation in the size of view volume between holidays and weekdays is small.(3)The view volume of virtual tourist attractions are influenced by a variety of factors such as city economic attributes,social attributes,scenic spot attributes,among which the factors of the proportion of regional tertiary industry,the number of 5A-level scenic spots and the number of cell phone users are the most significant.The research reveals the basic law of the view volume of virtual tourist attractions in China,and provides theoretical support for the development of virtual tourist attractions.
作者
林娟
吴彬彬
邢舒雨
Lin Juan;Wu Binbin;Xing Shuyu(College of Cultural Tourism and Public Administration,Fujian Normal University,Fuzhou 350117,China;The Higher Educational Key Laboratory for Smart Tourism of Fujian Province,Fuzhou 350117,China)
出处
《中国生态旅游》
CSCD
2024年第1期167-182,共16页
Journal of Chinese Ecotourism
基金
国家自然科学基金项目(42271254,42371180)。
关键词
虚拟旅游
旅游景区
浏览量
影响因素
负二项回归模型
virtual tourism
tourist attractions
view volume
influencing factors
negative binomial regression model