香港共享住宿分布与城市功能空间及路网形态的关联研究

Аbstrасt: Tourism is an important part of the service industry. As the third space connecting the city and tourists and the main place for recreation and reception, the distribution pattern and spatial process of the tourism accommodation industry play an important role in promoting the co- evolution of the urban spatial structure. Under the background of informatization connection of supply and demand, improvement of transportation capacity, and multi-center development of cities, the site selection decision of the urban accommodation industry has shifted from focusing on traditional factors such as land rent, policy constraints, and consumption thresholds to comprehensively considering spatial factors such as the convenience of the transportation network and the proximity of service facilities. Shared accommodation is a typical representative of non-standard accommodation, that is, the house owner temporarily rents out all or part of the idle house to the lodger relying on the two-way trading platform on the Internet. Since entering the Chinese market in 2015, Airbnb has become a pioneer in the shared accommodation industry in China. Using space syntax and co-location quotient theory, combined with GIS spatial analysis technology, this paper selects the data of Airbnb's active listings, star- rated hotels, urban road network, and points of interest in Hong Kong in 2021 to construct the 'point-line-surface' research framework of 'accommodation unit- traffic axis- functional space' and analyze the spatial layout patterns of shared accommodation and traditional hotels, as well as the structural correlation characteristics with the form of urban road network and urban functional space. The results show that the shared accommodation presents the banded and clumpy distribution in the city center, and forms sub- cores in some new towns, transportation hubs, and tourist islands. Compared with traditional hotels, the shared accommodation is more affected by the road network form, and has higher requirements for traffic passing ability and neighborhood interaction space in visiting communities.

positive spillover effects when selecting locations. At the local scale, the shared accommodation mainly forms three types of associations with urban functional space: cluster- like association, group- like association, and scatter-like association. The correlation effect between the shared accommodation and the dining space is the most significant. This paper has theoretical significance and practical value for accurately understanding the multi-scale spatial distribution pattern of shared accommodation under the diversified consumption demands of modern cities, promoting the diversified and sustainable development of the urban accommodation industry, and guiding the rational and orderly allocation of urban recreational service resources.