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 ›› 2022, Vol. 31 ›› Issue (4): 837-848.DOI: 10.3969/j.issn.1004-9479.2022.04.2020454

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Tourist flow network structure and its influencing factors in peripheral tourism areas ————An empirical study of Yunnan Province based on online booking data

Xiaoqing ZHANG1(), Jianxin ZHANG1, Peixue LIU2(), Ruibing WEI1, Lu TANG1   

  1. 1.School of Geography and Occean Science, Nanjing University, Nanjing 210023, China
    2.School of Business Administration, Nanjing University of Finance & Economics, Nanjing 210023, China
  • Received:2020-07-15 Revised:2020-10-11 Online:2022-07-15 Published:2022-07-24
  • Contact: Peixue LIU

边疆省域旅游流的网络结构及影响因素

张小青1(), 张建新1, 刘培学2(), 魏瑞兵1, 唐璐1   

  1. 1.南京大学地理与海洋科学学院,南京 210023
    2.南京财经大学工商管理学院,南京 210023
  • 通讯作者: 刘培学
  • 作者简介:张小青(1995-),女,硕士研究生,研究方向为旅游地理与旅游大数据,E-mail:august_cinderella@163.com
  • 基金资助:
    国家自然科学基金青年项目(42001145);教育部人文社会科学研究青年项目(20YJC790080)

Abstract:

Tourism scenic spots are important to the development of tourism. Analyzing the structure of the frontier province's tourism network and identifying the roles of scenic spots in the network can highlight the spatial function of the scenic spots and promote the efficient development of tourism in frontier areas. Based on the data of online travel route products, this paper used the role recognition model of scenic spots, modular analysis and optimal scale to analyze the network structure and influencing factors of 126 tourist scenic spots in Yunnan, a typical frontier province. The results show that: ①The tourism flow network in Yunnan province presents 6 cluster modules, the position of the module in the tourism flow network is determined by its main role, and the modularization trend of the scenic spots in the destination is obvious, forming a "three-core, multi-axis" mode; ②Tourist scenic spots are identified as four roles: hub scenic spots, important scenic spots, ordinary scenic spots, and fringe scenic spots. The core hubs of high-level scenic spots are prominent and have a significant agglomeration and diffusion effect. Important scenic spots are closely connected with hub scenic spots, ordinary and fringe scenic spots Concentrated in western Yunnan and connected with evacuation;③The frontier provinces Scenic spots with strong nationality and high altitude as well as large differences and high resource endowments have large passenger flows. The research results can provide some suggestions for Yunnan Province to strengthen the construction of global tourism, promote the layout of tourism industry and the role of scenic spots and quality upgrade.

Key words: tourism flow, role of scenic spot, tourist route, optimal scale analysis, peripheral tourism areas

摘要:

旅游景区是旅游业发展的关键,分析边疆省域旅游网络结构,识别网络中的景区角色,可凸显景区空间功能,促进边疆地区旅游业高效发展。研究基于在线预定数据,利用模块化分析、景区角色识别模型和最优尺度回归方法,对典型边疆省域云南省内126家旅游景区进行网络结构及影响因素分析。结果表明:①云南省旅游流网络呈现6个群集模块,模块在旅游流网络中地位由其主要角色决定,目的地内景区模块化趋势明显,形成“三核心、多轴线”的模式;②旅游景区识别为核心景区、重要景区、普通景区及边缘景区4种角色, 高等级景区核心枢纽地位突出,具有显著的集聚扩散效应,重要景区与核心景区联系紧密,普通和边缘景区集中在滇东南部,联系疏散;③边疆省域内民族性强、海拔高、差异大、资源禀赋高的景区客流量大。研究结果可为云南省加强全域旅游建设、推动旅游产业布局及景区角色定位、品质升级方面提供一定参考。

关键词: 旅游流, 景区角色, 旅游线路, 最优尺度, 边缘型旅游地