Study on Spatial Pattern of Regional Tourism under Influence of High-Speed Tourism Corridor: Case Study of Taihang Mountain Expressway

Abstract

In order to study the influence of the Taihang Mountain Expressway on the tourism industry pattern of the Taihang Mountain area in Hebei Province, the vector data of the Taihang Mountain Expressway, the data of 43 exit nodes along the Expressway, and the data of 76 scenic spots above 3A level are collected and sorted. The unique association of the scenic spot–expressway exit node is constructed, the sum of the fuzzy contact intensities of the scenic spot–expressway exit nodes and the sum of the fuzzy contact intensities of the associated scenic spot nodes of each expressway exit are calculated, the fuzzy agglomeration of each exit node is calculated, and the spatial tourist grouping scheme based on COP objective function is analyzed and adjusted by using the improved F-AMST model (designed with twice-splitting and twice-clustering). The result shows that (1) under the influence of the Taihang Mountain Expressway, the result of spatial tourist grouping in this area includes 4 primary groups and 8 secondary groups; (2) by comparing with the results of previous studies of the division of mountainous tourism agglomeration areas in Hebei Province, the result of spatial tourist grouping is basically consistent with those of mountainous tourism agglomeration areas, but the fuzzy clustering intensity of spatial tourist grouping is significantly better than that of agglomeration division, that is, the completion and opening of the Taihang Mountain Expressway enhances the agglomeration among scenic spots; (3) under the influence of the Taihang Mountain Expressway filtration effect, there are 18 “vacuum filtration” nodes without scenic area connection and 3 “secondary filtration” nodes with less fuzzy association intensity; and (4) the Taihang Mountain Expressway provides opportunities and possibilities for the formation of new tourist destination geospatial patterns, the grouping of a cross-administrative region boundary, and the combination of “fast-slow” combined transport network system.