Spatial Distribution Characteristics and Influencing Factors of Cultural and Tourism Resources in Xihu District of Hangzhou

Tiansong Zhu, Kaiping Yu and Bo Wang ()
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Tiansong Zhu: School of Earth Sciences, Zhejiang University, Hangzhou 310030, China
Kaiping Yu: School of Earth Sciences, Zhejiang University, Hangzhou 310030, China
Bo Wang: School of Earth Sciences, Zhejiang University, Hangzhou 310030, China

Sustainability, 2023, vol. 15, issue 14, 1-20

Abstract: Exploring the spatial distribution characteristics of regional cultural and tourism resources (CTRs) is crucial to the sustainable development of cultural and tourism industries. Based on 651 CTRs obtained from the latest round of field surveys in the Xihu District of Hangzhou, this article analyzed the spatial distribution of these CTRs from an overall, categorical, and hierarchical multiple perspective using the average nearest neighbor index and kernel density analysis and explored the reasons for the differences in the spatial distribution of the above different types of CTRs using multiple linear regression and Geodetector. The results indicate that the CTRs present a spatially clustered state, and the distribution of CTRs in different categories and grades has diverse characteristics, as natural resources have three high-density areas, humanistic resources have one high-density area, and both general and superior resources have only one high-density area, but the low-density areas are different. In addition, the spatial distribution of the overall, different categories, and different grades of CTRs in this region is influenced by several factors, with the West Lake generating the greatest impact. Additionally, interactive factors can have a greater impact than single factors. These results enrich the research content of Hangzhou’s cultural and tourism industries and provide theoretical support for the high-quality development of Xihu District’s cultural and tourism industries.

Keywords: cultural and tourism resources; spatial distribution; influencing factors; Geodetector; Hangzhou’s Xihu District (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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