摘要
在旅游业高质量发展的推动下,智慧景区建设是大势所趋。采用ArcGIS技术,以《互联网周刊》(2017—2020年)入围全国智慧景区的前100名高水平智慧景区为研究样本,分析高水平智慧景区的类型结构及空间特征。通过分析可知,高水平智慧景区在全国的空间分布中呈现出以京津冀、长三角为中心的两个高密度区。在不同类型的高水平智慧景区空间分布特征中,自然景观型智慧景区、文化遗产型智慧景区、商业主题型智慧景区都呈凝聚型空间分布,社会型智慧景区发展尚未成规模,呈离散型空间分布态势。自然景观型智慧景区占比最高,文化遗产型旅游区次之,商业主题型智慧景区和社会型智慧景区占较低。另外,政策引领、经济发展水平、旅游资源禀赋以及科学技术是影响高水平智慧景区空间特征形成的主要因素。
Driven by the high-quality development of tourism,the construction of smart scenic spots has become the general trend.Types and spatial characteristics of high-level smart scenic spots is analyzed using ArcGIS technology and samples of top 100 high-level smart scenic spots shortlisted by Internet Weekly(2017-2020).The results show that the high-level smart scenic spots in China centered in density on the Beijing-Tianjin-Hebei region and the Yangtze River Delta;in type,natural landscape smart scenic spots,cultural heritage smart scenic spots and commercial theme smart scenic spots are condensed in spatial distribution,while social smart scenic spots,having not yet developed in scale,are discrete in spatial distribution;in proportion,natural landscape smart scenic spots is the highest,which is followed by cultural heritage tourism areas,and the commercial theme smart scenic spots and social smart scenic spots are relatively small in proportion.In addition,policy guidance,economic level,natural tourism resource and science and technology are the major influencing factors of spatial characteristics of high-level smart scenic spots.
作者
孙世英
苏勤
Sun Shiying;Su Qin(School of Geography and Tourism,Anhui Normal University,Wuhu 241000,China)
出处
《洛阳师范学院学报》
2022年第4期29-33,共5页
Journal of Luoyang Normal University
关键词
智慧景区
类型
空间特征
影响因素
smart scenic spot
type
spatial characteristics
influencing factor