Spatial pattern and influencing factors of tourism based on POI data in Chengdu, China

Wen Liang (), Yahaya Ahmad () and Hazrina Haja Bava Mohidin ()
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Wen Liang: University of Malaya
Yahaya Ahmad: University of Malaya
Hazrina Haja Bava Mohidin: University of Malaya

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 4, No 77, 10127-10143

Abstract: Abstract Based on the analysis of the spatial distribution characteristics and influencing factors of 2879 attractions POI in Chengdu, this paper studies the spatial distribution types, spatial concentration, and equilibrium of attractions by using standard deviation ellipse, geographic concentration index, and kernel density estimation. Buffer analysis, near analysis, correlation analysis, and grey relation analysis are used to study the influencing factors of tourism in Chengdu. The results show that: (1) The overall attractions POI in Chengdu is in an east–west direction, and except for other types of attractions POI, the remaining types are also in an east–west direction. (2) The spatial agglomeration areas of different types of attractions POI in Chengdu were quite different. Among them, parks and city squares were mainly concentrated in the central urban areas, namely Jinjiang, Qingyang, Jinniu, Wuhou, and Chenghua, forming a prominent gathering area. (3) There were differences in the influence degree of each factor on the spatial distribution of attractions POI. Topography and drainage, transportation, tourist source market, and other factors significantly correlated with the distribution of attractions, which were the main factors affecting the spatial distribution of attractions. Industrial development and economic population were also important factors affecting the distribution of attractions. Tourism is an important thrust for urban development. The study of the spatial distribution of tourism and its influencing factors has clear guiding significance for later tourism development, which can help optimize the integration of tourism resources, promote the cooperation of regional tourism development and provide a basis for decision-making for tourism development.

Keywords: ArcGIS; Chengdu; Points of interest; Spatial analysis; Tourism (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03138-8

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