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广东省国内旅游流流量与流质时空演化分析

Analysis on the Temporal and Spatial Variation of Domestic Tourism Flow in Guangdong Province

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【作者】 王培家陈海鹰

【Author】 Wang Peijia;Chen Haiying;School of Geography and Ocean Science, Nanjing University;Tourism College, Hainan University;

【通讯作者】 陈海鹰;

【机构】 南京大学地理与海洋科学学院海南大学旅游学院

【摘要】 基于广东省2006—2019年国内旅游相关数据,采用流量指数、流质指数及其二维组合矩阵,分析该省国内旅游流流量与流质的时空分布和演变特征。结果表明:广东省国内旅游流量与流质发展不同步,流量波动上升,流质波动下降,呈现“量弱质优—量优质弱—量质皆优”的趋势;流量演化方面,21个城市按时间序列分为趋于降低型、相对稳定型和波动上升型;空间结构上形成了“双核多强”的分布格局;各城市国内旅游流流质演化差异明显,可分为快速成长型、波动上升型、停滞不前型和波动下降型;广东省21个城市旅游流量质组合可划分成同步皆高型、反向偏离型、同步皆低型、正向偏离型和同步中间型,整体呈平稳向好态势。探究广东省旅游流时空分布和协同模式,能够从宏观上动态化、精细化、定量化刻画广东省旅游流发展水平,也能为大湾区国内旅游市场整合度和国际旅游竞争力的提升提供借鉴和指导。

【Abstract】 Based on the domestic tourism data of 21 cities in Guangdong Province from 2006 to 2019, this paper analyzed the temporal and spatial distribution and evolution characteristics of domestic tourism flows in Guangdong Province. Using the quantity and quality of tourism flow and other measurement indicators, a two-dimensional combination matrix was constructed to analyze the coupling relationship and evolution trend of tourism flow quantity and quality in various cities from 2006 to 2019. The results showed that:(1)The quantity and quality of domestic tourism flow in Guangdong Province were not synchronous, suggesting when the tourism flow quantity rises the tourism flow quality decreases. In summary, the evolution of quantity and quality of domestic tourism flow in Guangdong Province showed a trend of "weak quantity and good quality, good quantity and good quality, good quantity and weak quality".(2)From the perspective of tourism flow quantity change, the 21 cities were divided into three types: decreasing, relatively stable and fluctuating growth. The spatial distribution showed a competitive pattern of "double-core and several strong areas", which was generally “optimized trend”. There were obvious differences in the spatial distribution of domestic tourism flows among different cities. Guangdong Province has formed the spatial distribution pattern and agglomeration effect of "double-core and several strong areas",with Guangzhou and Shenzhen as the core and Foshan, Dongguan, Zhongshan, Zhuhai and other cities as the important support.(3)From the perspective of tourism flow quality changes, the growth is divided into four types: types of rapid growth, steady growth, stagnation and fluctuating downward. The quality of tourism flow in most cities has stagnated, or even declined gradually, the number of high-quality tourist cities decreased, good quality tourist cities were basically stable, low-quality tourist cities increased, and the very low-quality tourist cities decreased.(4)The tourism flow quality combination of 21 cities in Guangdong Province can be divided into five types: types with high synchronization, reverse deviation, low synchronization, forward deviation and intermediate synchronization. And cities can be divided into five types: types of quantity and quality increase, types of quantity and quality decrease, types of quantity and quality stability, and types of quantity and quality jump.(5)The quantity and quality of domestic tourism flow were affected by a combination of factors such as location conditions, tourism resource endowments, product supply structure, and economic connectivity. They were not only vulnerable and fluctuating, but also had differences in the spatial and temporal distribution and evolution characteristics of different regions. Based on this, we put forward the following opinions: we should further promote the integrated development of tourism in the Guangdong-Hong Kong-Macao Greater Bay Area, fully develop the diffusion effect of tourism center cities, and build a cultural tourism brand system. Exploring the temporal and spatial distribution and coordination mode of tourism flow in Guangdong Province can describe the development level of tourism flow in Guangdong Province dynamically. It can also provide reference and guidance for the improvement of domestic tourism market integration and international tourism competitiveness in Guangdong-Hong Kong-Macao Greater Bay Area.

【基金】 国家自然科学基金项目“海洋自然保护区旅游生态补偿:适应性、运作机理与实现路径研究”(41661111)
  • 【分类号】F592.7
  • 【下载频次】20
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