Urban Tourism
Zhang Kun, Xie Chaowu
The complexity of urban functions and structure brings new challenges to the spatial layout of tourism industry factors. This study focuses on the main urban area of Fuzhou City and examines the spatial distribution of the six factors of the tourism industry: catering, accommodation, transportation, sightseeing, shopping, and entertainment. Bivariate Ripley’s K function is introduced to reveal the “distance-agglomeration” correlation pattern among these factors. The results show that: (1) the spatial distribution density of the six factors of the tourism industry has a strong correlation with the urban functional zoning, and the pattern of the six factors shows the distribution characteristics of “along the river, large agglomeration and small dispersion”, and forms multiple spatial clusters. (2) The agglomeration hotspots distribution of the six factors of tourism industry has spatial commonality and heterogeneity. The hotspots of catering, shopping, and entertainment factors demonstrate strong spatial correlations, while sightseeing hotspots tend to have a mono-core distribution. Transportation hotspots have a broader distribution range, and accommodation hotspots have a strong tourist flow and transportation orientation. (3) The study identifies four types of “distance-agglomeration” spatial correlation patterns among the six factors of the tourism industry. The patterns include “close distance-strong agglomeration” and “close distance-weak agglomeration”, with the shopping factors at the center. The “long distance-weak agglomeration” pattern is associated with transportation and sightseeing factors, while the “long distance-strong agglomeration” model is centered on entertainment factors. This analysis offers a deepen spatial understanding of the relationships between different factors of the tourism industry.