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福建省旅游小镇空间分布特征及影响因素研究
引用本文:林秀治,陈秋华.福建省旅游小镇空间分布特征及影响因素研究[J].地理科学,2021,41(9):1645-1653.
作者姓名:林秀治  陈秋华
作者单位:福建商学院旅游与休闲管理学院,福建福州350012;福建农林大学管理学院,福建福州350002
基金项目:国家社会科学基金项目(19BJY048);福建省社会科学规划项目(FJ2020C015)
摘    要:以福建省155个旅游小镇为研究样本,运用空间统计分析法对其空间分布特征及影响因素进行研究。结果表明:① 福建省旅游小镇空间分布整体上趋于均匀状态,在各个地市的数量分布上也相对均衡;② 福建省旅游小镇核密度呈现出“东高、西低”的分布特征,生态人居型旅游小镇分布密度最大,特色产业型旅游小镇分布密度最小;③ 福建省旅游小镇发展以冷点区和次冷点区为主,冷点区和热点区空间差异明显;④ 经济基础、城镇化水平、人口密度、客源市场是福建省旅游小镇空间分布的主要影响因素。

关 键 词:旅游小镇  最邻近指数  核密度  福建省
收稿时间:2020-10-17
修稿时间:2021-04-13

Spatial Characteristics and Influencing Factors of Tourist Towns in Fujian Province
Lin Xiuzhi,Chen Qiuhua.Spatial Characteristics and Influencing Factors of Tourist Towns in Fujian Province[J].Scientia Geographica Sinica,2021,41(9):1645-1653.
Authors:Lin Xiuzhi  Chen Qiuhua
Institution:1. College of Tourism and Leisure Management, Fujian Business University, Fuzhou 350012, Fujian, China
2. College of Management, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
Abstract:As an important way of new urbanization construction, tourist town is a social and economic space integrating tourism industry and urbanization construction. The construction of a reasonable spatial layout of tourist towns is of great practical significance to promote the development of tourism industry and the construction of new urbanization in Fujian Province. This study divides the tourist towns in Fujian Province into four types: Ecological habitat type, tourism reception type, resource leading type and characteristic industry type. The spatial distribution characteristics and influencing factors of 155 tourist towns in Fujian Province were studied by using the spatial statistical analysis methods. The results show that: 1) The overall spatial distribution of tourist towns in Fujian tends to be uniform, and the quantity distribution of each city is relatively balanced. 2) The core density of tourist towns in Fujian province shows the distribution characteristics of “high in the east and low in the west”. The number of ecological residential tourist towns is the largest, and the overall distribution density is the largest; the core density of tourist reception towns and resource-based tourist towns is close, followed by; the overall distribution density of characteristic industrial tourist towns is the smallest. 3) The cold spots of Fujian tourist towns are Putian, Quanzhou and Xiamen; the sub cold spots are Nanping, Fuzhou and Zhangzhou; the sub hot spots are Sanming and Ningde; and the hot spots are Longyan. The development of tourist towns in Fujian Province is mainly in cold spot area and sub cold spot area. The spatial difference between cold spot area and hot spot area is obvious, with a significant “block” distribution characteristics. 4) Economic base, urbanization level, population density and tourist market are the main factors affecting the spatial distribution of tourist towns in Fujian Province, and the impact on each type of tourist towns is significant. In the future, the influence of geographical conditions, culture and other factors can be discussed more systematically, and the time evolution law of the spatial distribution of tourism towns in Fujian Province, the influence degree of various influencing factors and the interaction between influencing factors can be deeply explored.
Keywords:tourist town  nearest proximity index  kernel density  Fujian Province  
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