Fig 1.
Location and tourist attractions of Shanxi province.
This map’s political boundaries are drawn based on the standard maps from China’s Ministry of Natural Resources and Department of Natural Resources of Shanxi Province (Surveying and mapping approval No. GS (2019)1686 and No. JS (2021)005). The base map remains unaltered. The same applies to the digital elevation model derived from the U.S. Geological Survey (http://eros.usgs.gov/).
Table 1.
Metrics of the complex network algorithm.
Fig 2.
Attractions clustering according to frequencies of tourist flow directions.
This map’s political boundaries are drawn based on the standard maps derived from the Department of Natural Resources of Shanxi Province (Surveying and mapping approval No. JS (2024)010).
Fig 3.
Cluster categorization based on attraction type percentage.
Fig 4.
Hierarchies of nodes centrality among clusters.
Table 2.
Nodes hierarchy and visit probability among clusters.
Fig 5.
Distance decay curves and probability cumulative curves of three categorization clusters.
Fig 6.
Transport transition probability between clusters.
Table 3.
Hierarchical structure characteristics between clusters.
Fig 7.
Organization pattern and hierarchical structure of tourism flow cascade network.