Abstract
Improving the development level of tourism service facilities in historic areas of old cities and realizing the sustainable tourism are important strategies for urban historical protection, economic development, and cultural rejuvenation. Districts at different tourism development stages show different characteristics of tourism service facilities. This study collects location-based service data and uses space syntax to identify the correlation between the distribution of tourism service facilities and street networks, which helps decision-makers to optimize the spatial layout of tourism facilities in the planning of historic areas. Taking the southern historic area of Nanjing, China, as an example, this is an area with a rich collection of cultural heritage and many historic districts, and the study reveals that the areas with strongest street agglomeration and best accessibility, as well as the districts with most mature tourism development, are the core of the tourism facilities. The agglomeration of transportation and accommodation facilities should be set at the traffic nodes as much as possible due to the highest correlation with the street network. Instead, the entertainment, catering, and shopping facilities can be set in the nontraffic node areas under the premise of ensuring good traffic accessibility owing to the insignificantly relationship with the street network. The research results can be used as an important reference for urban decision-makers regarding the planning of historic areas.
Highlights
Tourism sustainability is an extension of the concept of sustainable tourism development
Identifying the cultural value and tourist potential of historic areas, developing cultural heritage rationally, and developing cultural tourism to realize the values of cultural capital are crucial to urban economy, social and cultural rejuvenation, and environmental restoration
Based on the above spatial analysis of the relationship between commercial facilities and streets using the Space Syntax and Kernel density estimation methods, this study adopted the least-squares method to further verify the strength of correlation between tourism service facilities and street networks in historic areas from the perspective of the strength of correlation affecting the optimal layout planning of facilities
Summary
Tourism sustainability is an extension of the concept of sustainable tourism development. Based on the above spatial analysis of the relationship between commercial facilities and streets using the Space Syntax and Kernel density estimation methods, this study adopted the least-squares method to further verify the strength of correlation between tourism service facilities and street networks in historic areas from the perspective of the strength of correlation affecting the optimal layout planning of facilities. The distribution of new tourist service facilities in the historic areas can be planned, and the street network structure can be perfected, providing a reference for optimizing resource distribution and enabling sustainable urban development. The essence of no matter the emerging spatial location data analysis or the mathematical analysis of traditional data, is to study the space and quantity, thereby realizing the optimization or reasonable planning of the layout of tourist service facilities
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