基于多源数据的城市旅游流空间网络结构特征——以洛阳市为例

对网络大数据和社会调研数据的融合、挖掘,构建洛阳市区各景点间游客流动的关系矩阵,基于社会网络和空间统计分析方法,探究洛阳市区旅游流空间网络结构特征。结论如下：①洛阳市区旅游流网络呈现出东南龙门石窟和东北白马寺旅游区极为密集,中心老城区网络联系较为紧密,北部邙山旅游区相对稀疏,西部旅游区几乎孤立的空间分布格局,表现出明显的四大旅游集群的态势。②洛阳市区旅游流网络是典型的核心-边缘网络,且核心景区对边缘景区的“涓滴效用”有限。③洛阳市区旅游节点分为4个系统,分别为一级旅游核心、次级旅游核心、一般旅游节点和边缘旅游节点。④ 一级核心景点涉及面较广,对整体流动具有较强的支配作用,而边缘节点主要受到一级和次核心节点的约束。

Characteristics of Spatial Network Structure of Tourist Flow in Urban Area of Luoyang

By integrating and exploring the large network data and social survey data, the relationship matrix of tourist flows among various scenic spots in urban area of Luoyang was constructed. By combining social network and spatial analysis, characteristics of Luoyang's tourist flows network were further analysed. Conclusions were shown as follows: 1) The network of tourism flow in Luoyang urban area showed that the networks of Longmen Grottoes in the southeast and Baima Temple in the northeast were very dense, the network of the old urban area in the center was relatively close, the tourism area in the north is relatively sparse, and the spatial distribution pattern of in the western area was almost isolated. On the whole, there were four obvious tourism clusters. 2) Tourist flows network is typical core-periphery, links between the core spots and the peripheries were very sparse, and the trickle-down effect was limited. 3) Tourism nodes in Luoyang urban area were divided into four systems: the first-class, the second-class, the general, and the marginal tourism node. 4) The first class core scenic spots were more extensive and had a strong dominating effect on the overall flow. The edge nodes were mainly constrained by the first-level and the second-class tourism core.