南京市游客路径轨迹空间特征研究——以地理标记照片为例

Urban Tourist Path Trajectory Spatial Characteristics——An Empirical Analysis of Geotagged Photos

地理信息系统与通讯技术和网络技术的发展和融合,为游客追踪数据生产和采集提供了技术支持。本文借助于Panoramio这一新兴网络媒介与互动平台,利用社会网络挖掘技术,发现、提取Panoramio中游客地理标记照片信息数据,运用Arcgis的空间热点分析技术、追踪分析技术对采集的数据进行空间信息的处理和表达,探索基于地理标记照片的南京市游客空间分布格局和路径轨迹模式。研究发现:①南京市游客地理标记照片呈现出高度的地理集聚特征,形成"大分散、小集聚"圈层式空间分异模式。南京城市核心区占主导,近郊区整体上弱于核心区,体现了中心-外围逐渐递减的特点,说明南京市游客空间选择具有明显的向心性。②通过Getis-Ord Gi*分析,识别了核心热点区,热点区具有倾向于重点旅游景区集聚、城市中央商务区集聚、重要文化空间集聚、重要交通设施集聚等特征,充分说明了照片空间分布和城市地域的旅游资源引力、商业集聚状况、重要文化设施、交通枢纽地区等因素密切相关。③借助追踪分析方法,挖掘出单节点轨迹、区域内部轨迹、区域间路径轨迹3种路径方式。62.69%游客选择单节点轨迹方式,13%游客选择区域内部路径轨迹方式,24.31%游客选择区域间路径轨迹方式。④识别了110种不同路径轨迹序列,形成7类区域间路径轨迹模式,游客路径轨迹中存在着明显的结构分层,形成了强中心线型结构。

Geographic information systems, communications technology and network technology development provided technical support for collecting visitors tracking data. This paper explores urban tourist path trajectory spatial characteristics in Nnajing city based on geotagged photos, using Panoramio interactive media platform and social networking mining technology with hotspot analysis and tracking analyst techniques. Study found that： （1） Visitors geotagged photos in Nanjing city shows spatial characteristics on the geographic concentration and ＂big scattered, small gathering＂. Suburbs in Nanjing are weaker than the core area. These furtherly demonstrate the core- periphery characteristics. （2）By using Getis-Ord G~＂ analysis, core hotspot areas are identified. Core hotspot areas have tended to concentrate on the tourist attractions, the central business district, important cultural facilities and transportation facilities. （3）Using tracking analysis, the paper reveals single node trajectory, intraregional path trajectory and interregional path trajectory. 62.69% visitors chose single-node trajectory, 13% visitors chose intraregional path trajectory and 24.31% tourists chose interregional path trajectory. （4）110 different path trajectory model are identified, and there are 11 types model on tourist path trajectory in Nanjing. The ＂core-core＂ （47.78%） and ＂core- second core＂ （43.82%） are dominate, forming a strong central linear structure.