Complex network effect of urban smart tourism: spatial patterns of crowd movement in Jinan, China

Jiarui Mou

doi:10.1117/12.2637036

8 May 2022 Complex network effect of urban smart tourism: spatial patterns of crowd movement in Jinan, China

Jiarui Mou

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 122492N (2022) https://doi.org/10.1117/12.2637036
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

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.

Citation Download Citation

Jiarui Mou "Complex network effect of urban smart tourism: spatial patterns of crowd movement in Jinan, China", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 122492N (8 May 2022); https://doi.org/10.1117/12.2637036

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KEYWORDS

Statistical analysis

Social network analysis

Databases

Mining

Radiation effects

Social networks

Spatial analysis

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