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中国西北地区民族地区旅游资源的空间格局及影响因素研究——以陇县为例。

Spatial Pattern and Influencing Factors of Tourism Resources in Northwestern Ethnic Areas in China-A Case Study of Longde County.

机构信息

Management College, Ocean University of China, Qingdao 266100, China.

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

出版信息

Int J Environ Res Public Health. 2022 Dec 12;19(24):16684. doi: 10.3390/ijerph192416684.

DOI:10.3390/ijerph192416684
PMID:36554565
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9779592/
Abstract

With the in-depth development of the Western Development Strategy and Rural Revitalization, the tourism industry has become an important economic sector to drive local development in northwestern minority areas of China. This study established a database of tourism resources in Longde county and analyzed the spatial pattern of these tourism resources by using the scale index and kernel density. From the perspective of the natural and social environment, this paper quantitatively discusses the influencing factors of the spatial pattern of tourism resources in the county based on a multiple linear regression model. The results showed that: (1) There were 2049 tourism resources distributed in Longde County, and building and facility resources were the most prevalent. (2) The hierarchical structure of tourism resources in the county showed a "pyramid" distribution, where excellent tourism resources accounted for 22.60% of the total resources. (3) The spatial pattern showed an agglomeration distribution, and the spatial differences of all kinds of resources were significant. The resources were mainly distributed in Chengguan Town and Wenbao Township. (4) Topographic conditions, convenient transportation, population density and water system distribution were important factors that affected the spatial pattern of tourism resources. It was suggested that the government issue corresponding policies to optimize the spatial pattern of tourism resources; balance the relationship between the exploitation of tourism resources, tourism development and local economy, and the social and ecological environment; and promote the sustainable development of tourism in the northwestern ethnic areas in China.

摘要

随着西部大开发战略和乡村振兴战略的深入实施,旅游业已成为推动中国西北少数民族地区地方发展的重要经济产业。本研究建立了陇县旅游资源数据库,并利用规模指数和核密度分析了这些旅游资源的空间格局。从自然和社会环境的角度出发,本文基于多元线性回归模型,定量探讨了该县旅游资源空间格局的影响因素。结果表明:(1)陇县共有 2049 处旅游资源,其中建筑及设施资源最为丰富。(2)全县旅游资源的层次结构呈“金字塔”分布,优质旅游资源占总资源的 22.60%。(3)空间格局呈集聚分布,各类资源的空间差异显著,资源主要分布在城关镇和温水乡。(4)地形条件、交通便利度、人口密度和水系分布是影响旅游资源空间格局的重要因素。建议政府出台相应政策,优化旅游资源空间格局;平衡旅游资源开发、旅游发展与地方经济以及社会生态环境之间的关系;促进中国西北民族地区旅游业的可持续发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/76138d447cf2/ijerph-19-16684-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/5d0abf9221c8/ijerph-19-16684-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/4d645554a09d/ijerph-19-16684-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/a8ddf693e38a/ijerph-19-16684-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/b03c5673c97a/ijerph-19-16684-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/876210124016/ijerph-19-16684-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/a3f1ef3f9500/ijerph-19-16684-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/374b08f5f684/ijerph-19-16684-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/76138d447cf2/ijerph-19-16684-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/5d0abf9221c8/ijerph-19-16684-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/4d645554a09d/ijerph-19-16684-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/a8ddf693e38a/ijerph-19-16684-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/b03c5673c97a/ijerph-19-16684-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/876210124016/ijerph-19-16684-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/a3f1ef3f9500/ijerph-19-16684-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/374b08f5f684/ijerph-19-16684-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5e/9779592/76138d447cf2/ijerph-19-16684-g008.jpg

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