Abstract：Taking Ninghai County of Ningbo City as an example， social network analysis is considered as the basic theory. The micro-scale tourism flow network space structural characteristics and its spatial effects are explored using Ucinet6.0 to deal with the node line module data from Ninghai County tourism big data platform and combining with Arcgis10.3 spatial visualization tools. The study shows that the overall density of tourism network in Ninghai County is high， exhibiting the trend of decreasing from the center of the city to the surrounding towns. The nodes of the Grand View Cultural Park and Roushi Park in the center of the city are important tourism hubs， which have a strong driving effect on other rural tourism nodes. Traffic is one of the important factors affecting the tourism flow of Ninghai county. This paper summarizes the space concentration， diffusion， and linkage effects of tourism flow. To build Ninghai County into a national “regional tourism demonstration base”， some measures and suggestions are put forward ， including building a new pattern of tourism space in Ninghai， developing distinctive multi-destination travel boutique line and constructing a new pattern of diversified tourism transport network .
梁玥琳,胡孟姣. 宁波市宁海县旅游流网络空间结构及其效应研究[J]. 华中师范大学学报(自然科学版), 2018, 52(5): 742-749.
LIANG Yuelin,HU Mengjiao. Study on the network spatial structure of tourism flow and its effects in Ninghai County of Ningbo. journal1, 2018, 52(5): 742-749.
2018, Vol. 52 
