TY - JOUR
AU - Mou, Jiarui
AB - The detection of the movement of urban tourist groups has been a hot spot in the management of smart city and smart traffic planning. The development of ICT communication technology and its big data information have brought new research perspectives and technical means to this problem. Taking Jinan online travel blog data as an example, combined with social network analysis method, mathematical statistics and GIS spatial analysis methods, this paper calculates the structural parameters such as the density, central potential and centrality of network nodes from the two levels of network and nodes, constructs the tourist flow network diagram in Jinan, and further analyzes the node attributes and network structure system as well as function relationship. The results show that: the distribution of tourist attractions in Jinan is extremely uneven, and there is a phenomenon of “cluster” of attractions, forming an aggregation distribution trend centered around Qianfo Mountain as a whole; the tourism nodes have significant characteristics of hierarchical differentiation. The role of nodes in the network has led to an obvious trend of network centralization, among which the core nodes have a high degree of control over the network; and the structure of tourist flow network in Jinan is unbalanced, with Baotu Spring, Daming Lake and Quancheng Square having higher network connectivity but lower overall network density. The research based on the background of big data reveals the mobile network structure characteristics of urban smart tourism crowd, which might provide a direct scientific decision-making basis for urban smart management and smart traffic planning.
TI - Complex network effect of urban smart tourism: spatial patterns of crowd movement in Jinan, China
JO - Proceedings of SPIE
DO - 10.1117/12.2637036
DA - 2022-05-06
UR - https://www.deepdyve.com/lp/spie/complex-network-effect-of-urban-smart-tourism-spatial-patterns-of-0nvclnUMVy
SP - 122492N
EP - 122492N-8
VL - 12249
IS - 
DP - DeepDyve
ER -