Abstract：This article took Huangshan City， Anhui Province as a case site. Data of group tour and self-guided tour flow of Huangshan City were generated through the internet. With the help of social network analysis method， long-distance tourists and short-distance tourists by time distance were distinguieshed and network characteristics of the above two type tour flows of Huangshan City were analyzed. The results are shown as follows. 1) Huangshan City’s group tour and self-guided tour networks present different characteristics. The short-distance tour in the group tour was small and scattered， and the long-distance tour was small and concentrated. The self-guided tour in the short-distance tour had a wide and dense scale， while the long-distance tour had a wide and scattered scale. 2) The tour flow of Huangshan City had an obvious core-periphery structure. The core area and the peripheral area were not closely connected， and the hierarchical characteristics of group tours were more obvious than that of self-guided tours. 3) The group tour was more dependent on the core node， while the various scenic spots in the self-guided tour were closely connected and balanced. Based on this， from the perspective of destination management， suggestions are made on the optimization of the internal and external tourism network structure of Huangshan City. The tour flow network structure of Huangshan City was basically stable， and there was a strong and stable spatial relationship with the location of high-level and highly attractive “iconic” urban tourism resources. In the future， this would be an important criterion for tourist destinations to judge whether a tourist destination is a mature type.
2022, Vol. 56 
