Spatial Patterns of Tourist Attractions in the Yangtze River Delta Region

Yuewei Wang, Xinyang Wu, Zhizheng Liu, Hang Chen () and Yuyan Zhao
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Yuewei Wang: School of Business, Liaoning University, Shenyang 110036, China
Xinyang Wu: School of Economics and Management, Northwest University, Xi’an 710127, China
Zhizheng Liu: School of Business, Liaoning University, Shenyang 110036, China
Hang Chen: School of Tourism Management, Shenyang Normal University, Shenyang 110034, China
Yuyan Zhao: School of Management, Shenyang Jianzhu University, Shenyang 110168, China

Land, 2022, vol. 11, issue 9, 1-22

Abstract: Tourism is distinctly regional with respect to the regional distribution of tourism resources, tourist attractions and supply, and spatial continuity of tourist activities. Using point-of-interest data from 2166 tourist attractions in the Yangtze River Delta, this study analyzes the spatial distribution pattern of tourist attractions and their influencing factors by applying the methods of nearest proximity index, kernel density analysis, standard deviation ellipse, hotspot analysis, and spatial superposition analysis. The results show that the number of modern recreational tourist attractions accounts for the largest proportion. The spatial distribution pattern shows more attractions in the north than the south and more in the east than the west. The spatial density of tourist attractions in Shanghai is far greater than that in other regions, followed by Jiangsu and Zhejiang. The five types of tourist attractions show a significant aggregation state. Natural ecological tourist attractions are clustered near Nanjing and Huangshan; historical and cultural tourist attractions are formed in a T-shape by Shanghai, Hangzhou, and Nanjing; modern recreational tourist attractions are clustered in Shanghai and Hangzhou; and industrial integration tourist attractions are clustered in Shanghai, Nanjing, and Hangzhou. Physical geography, traffic, and social economy are the main factors affecting the spatial distribution of tourist attractions.

Keywords: spatial patterns; tourist attraction; GIS; Yangtze River Delta (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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