主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

World Regional Studies ›› 2023, Vol. 32 ›› Issue (10): 134-146.DOI: 10.3969/j.issn.1004-9479.2023.10.2021693

Previous Articles    

Spatiotemporal evolution characteristics and mechanism analysis of tourism leisure industry in Sanya City

Xuan LING1(), Yong MA2,3, Jie REN4   

  1. 1.School of Economics and Finance, Xi'an Jiaotong University, Xi'an 710061, China
    2.School of Tourism Management, Hubei University, Wuhan 430062, China
    3.Research Center of Tourism Development and Management of Key Research Bases of Humanities and Social Sciences in Hubei Province, Wuhan 430062, China
    4.Business School, Zhongnan University of Economics and Law, Wuhan 430073, China
  • Received:2021-09-26 Revised:2022-05-16 Online:2023-10-15 Published:2023-10-25

三亚市旅游休闲业态时空演变特征及其形成机制分析

凌旋1(), 马勇2,3, 任洁4   

  1. 1.西安交通大学经济与金融学院,西安 710061
    2.湖北大学旅游学院,武汉 430062
    3.湖北省人文社科重点研究基地-旅游开发与管理研究中心,武汉 430062
    4.中南财经政法大学商学院,武汉 430073
  • 作者简介:凌旋(1996—),女,博士研究生,研究方向为产业经济与旅游发展,E-mail:lxuan_hermione@163.com
  • 基金资助:
    国家社会科学基金项目(19BJL036)

Abstract:

Taking Sanya City as a case, based on POI data of six types of tourism and leisure forms, comprehensive use of spatial analysis technologies such as the nearest distance index, nuclear density estimation, multispatial clustering and geographical detectors to deeply measure and explore the spatial and temporal evolution characteristics of Sanya tourism and leisure forms and their formation mechanism.The results show: (1)The overall number and characteristic spatial scale rise sharply, and the distribution pattern is "polar core-axis-surface domain"; mainly gather Sanya bay resort and spread the surrounding coastal area, and the agglomeration degree increases with the increase of spatial scale. (2) All kinds of tourism and leisure formats space agglomeration characteristics, including shopping, accommodation, catering industry and overall agglomeration characteristics have highly consistent, all kinds of formats agglomeration distribution characteristics are significantly different and scale dependence is obvious, the tourist attractions formats concentration degree with increasing time distance, the rest of the formats all increase after decrease. (3) The formation of Sanya tourism and leisure form space pattern is determined by the policy guidance of urban development orientation, that is, in the tourism and leisure demand upgrading and upgrading of urban development, from the economic level, population characteristics, traffic conditions and resource endowment affect the evolution of tourism and leisure business space pattern.

Key words: tourism leisure industry, spatiotemporal evolution, Sanya, POI, formation mechanism

摘要:

以三亚市为案例地,通过爬取六类旅游休闲业态POI数据,综合利用最邻近距离指数、核密度估计、多空间聚类、地理探测器等空间分析技术,深入挖掘三亚市旅游休闲业态的时空演变特征及其形成机制。结果表明:(1)业态总体数量及特征空间尺度急剧上升,分布格局呈“极核-轴线-面域”分布形态;主要集聚于三亚湾度假区,散布周边临海区域,且集聚程度随空间尺度的增大呈先增后减态势;(2)各类旅游休闲业态空间集聚特征显著,其中购物、住宿、餐饮业态与总体集聚特征呈现高度一致性,各类业态集聚分布特征显著不同且尺度依赖性明显,其中旅游景点业态集聚程度随时间距离的增加不断减小,其余业态均先增后减;(3)三亚市旅游休闲业态空间格局的形成是由政策引导城市发展决定的,即在旅游休闲需求升级与城市发展的转型升级的双向推动下,从经济水平、人口特征、交通条件及资源禀赋四个方面影响旅游休闲业态空间演变格局。

关键词: 旅游休闲业态, 时空演变, 三亚市, POI, 形成机制