基于数字足迹的游客时空行为特征分析——以南京市为例

Study on Spatial-Temporal Characteristics of Tourist Behavior Based on Digital Footprints:Taking Nanjing for Example

以南京市为例,以网络游记为基本数据源,提出了旅游数字足迹结构化表达和建库方法,并结合文本分析和GIS时空间分析方法,从旅游形象、游客行为时序变异及空间格局等方面分析了南京游客时空行为特征。结果显示:(1)"历史"可作为南京旅游形象整体认知,且受气温和假期因素影响游客多选择在春夏季出游;(2)到访南京旅游景区空间最邻近指数为0.48,核心城区成为到访景区、游客聚集区域;(3)到访南京旅游轨迹空间上表现为由核心城区向外辐射,旅游流空间结构则以夫子庙为核心逐级向外展开。在此基础上,从旅游景区形象提升、旅游景区游客容量控制、旅游市场营销等方面探讨了南京旅游发展优化措施。

Because of its high timeliness and strong interaction, digital footprint becomes a research topic on the spatialtemporal characteristics of tourist behavior. Taking Nanjing as a study area and based on online travel note, this article analyzes the spatial-temporal characteristics of tourist behavior in Nanjing on the perspective of the tourism image, the temporal variation and spatial pattern of tourist behavior by the use of text analysis and GIS temporal-spatial analysis.The analysis results show that: 1) The word of history can be used as the overall cognition of Nanjing tourism image, and tourists choose to travel in spring and summer influenced by the factors of temperature and holiday. 2) The nearest neighbor index of visited tourist attractions in Nanjing is 0.48, and the core of Nanjing city becomes the gathering area of scenic spots and tourists. 3) Tourism trajectories of Nanjing radiates outward from the core city in the spatial distribution,and the spatial structure of tourist flow with Confucius Temple as a core expands outward. On these basis, the optimization measures of tourism development in Nanjing are discussed from the aspects of tourism image enhancement,tourist capacity control and tourism marketing.