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基于多源数据的昆明市夜间旅游空间分布及适宜性评价

Spatial distribution and suitability evaluation of nighttime tourism in Kunming utilizing multi-source data.

作者信息

Zhang Bowen, Luo Man, Du Qihui, Yi Zeyu, Dong Lijiang, Yu Yunfen, Feng Jiajia, Lin Jinping

机构信息

School of Earth Sciences, Yunnan University, Kunming 650500, China.

出版信息

Heliyon. 2023 Jun 1;9(6):e16826. doi: 10.1016/j.heliyon.2023.e16826. eCollection 2023 Jun.

Abstract

In the post-pandemic era, nighttime tourism is vital in promoting the diversified development of tourism, enhancing the vitality of cities, and improving reemployment rates. Using Kunming City, China, as an example, this study used multi-theory and multi-source data to construct an evaluation model of the spatial distribution and suitability of nighttime tourism. The projection pursuit model and spatial analysis method were used to reveal spatial distribution and explore the suitability characteristics and spatial differences of nighttime tourism development. Our results revealed the following: (1) nighttime tourism resources showed a 'large aggregation, small dispersion' spatial distribution pattern, which is characterized by a distribution along the railway line; (2) at present, the spatial distribution of nighttime tourism in Kunming displays a pattern of 'taking a high-density large gathering area as the center and extending around; ' and (3) the most suitable nighttime tourism area accounts for 11.83% of the total land area of Kunming; highly suitable area accounts for 17.53%. The general suitable and unsuitable areas accounted for 43.29% and 27.35%, respectively. The results of this study assist in providing a scientific basis for the strategic planning and development of the nighttime tourism industry in Kunming.

摘要

在后疫情时代,夜间旅游对于促进旅游业多元化发展、增强城市活力以及提高再就业率至关重要。本研究以中国昆明市为例,运用多理论和多源数据构建了夜间旅游空间分布与适宜性评价模型。采用投影寻踪模型和空间分析方法揭示空间分布,并探究夜间旅游发展的适宜性特征和空间差异。研究结果表明:(1)夜间旅游资源呈现“大集聚、小分散”的空间分布格局,其特点是沿铁路线分布;(2)目前,昆明市夜间旅游的空间分布呈现“以高密度大聚集区为中心并向周边延伸”的格局;(3)最适宜夜间旅游的区域占昆明市土地总面积的11.83%;高度适宜区域占17.53%。一般适宜和不适宜区域分别占43.29%和27.35%。本研究结果有助于为昆明市夜间旅游业的战略规划和发展提供科学依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32b7/10258417/bbdb7812cbf9/gr1.jpg

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