基于地理标记照片的城市旅游热点区域演化特征研究--以北京市为例

Evolutionary Characteristics of Urban Tourism AOI Based on Geotagged Photos:A Case Study of Beijing

对长期旅游大数据的深入挖掘有助于把握旅游城市演化发展规律。使用YFCC100M地理标记照片数据集,提出分区与自适应优化的DBSCAN空间聚类方法,并分别从点与网络视角对北京市旅游热点区域的时空演化特征进行研究。结果显示:(1)北京市城市环路是旅游流聚集程度的重要分界线,奥运会的举办对城市旅游带动明显,奥运村、亚运村与三里屯等的兴起形成了新的城市旅游格局。(2)北京市核心区与主城区内旅游流聚集区由分散的条带状向紧凑的团块状发展,AOI(Area of Interest)空间形态在2008年后趋于稳定;主城区与核心区AOI在暑期客流集聚密度与分布不均衡性最高,郊区AOI在下半年客流集聚密度上升。(3)北京市旅游流网络的规模和客流量逐渐增加,整体呈现扩张态势,网络中热门节点对冷门节点具有带动作用,存在正相关演化趋势。

In-depth mining of long-term tourism big data is helpful to grasp the evolution and development laws of tourism cities.Based on the YFCC100M geotagged photo dataset,this paper proposes a DBSCAN spatial clustering method with partitioned and adaptive optimization,and analyzes the spatiotemporal evolution characteristics of Beijing’s tourism hot spots from the point and network perspectives.The main results are as follows:1) The urban ring road of Beijing is an important dividing line to split the degree of tourist flow aggregation,the area near the axis line of the second ring road is the tourism core,the Olympic Games has promoted the urban tourism obviously,and the Olympic Village,Asian Games Village and Sanlitun have formed a new urban tourism spatial structure.2) Tourist agglomeration areas in the core and main urban areas of Beijing developed from scattered strips to compact clusters,and the spatial pattern of AOI (Area of Interest) tended to be stable after 2008.AOIs in the main urban and core area have the highest agglomeration density and distribution imbalance of tourists flow in summer,while AOIs in the suburbs increases in the latter half of a year.3) Tourists flow network in Beijing shows a trend of continuous expansion and the more popular nodes in the network have a driving effect on the less popular ones.