基于加权方法的旅游流网络结构特征分析——以南京市为例

Analysis of Tourism Flow Network Structure Characteristics Based on Weighted Method——A Case Study of Nanjing City

应用大数据可全面把握旅游流时空特征。以南京市为例,基于手机信令监测得到的城市目的地内部每日景区组合线路数据,运用加权方法构建旅游流网络,对网络结构特征进行分析。结果表明:①加权方法可量化各节点之间的联系强度,在网络结构参数的计算中能在一定程度上弥补非加权网络带来的集中化、二极化、无效化等不足,有助于具体清晰地描绘网络结构并分析其时序变化特征;②南京市旅游流网络同配性为负,夫子庙和玄武湖为网络中的核心节点,网络结构在第二季度的变化特征是游客生态游倾向上升的反映。

The application of big data comprehensively grasped the spatial and temporal characteristics of tourism flow.This paper took Nanjing City as an example,and adopted weighted network method to construct the tourism flow network which was based on tourist route data of scenic spot daily combination generated from cell phone signaling monitoring inside the city destination.Then tourism flow network structure characteristics of Nanjing were analyzed.The results showed that:①Weighted network method could help to quantify the strength of association between nodes.In the calculation of network structure parameters based on social network analysis(SNA)which was usually unweighted,most nodes in the network gathered around the highest and the lowest value,and the result of network assortativity was often invalid.In weighted network,concentration,polarization and invalidation caused by unweighted network method could be compensated to some extent,which was helpful to depict the network structure and analyze its temporal characteristics concretely and clearly.②The assortativity of tourism flow network in Nanjing was negative.In the network,more popular scenic spots could help promote less popular scenic spots.Fuzimiao and Xuanwuhu were core nodes in Nanjing tourism flow network,and the change characteristics of network structure in the second quarter were a reflection on the rising ecotourism inclination of tourists,which could be helpful for providing decision support for tourism planning solutions.