地理研究

地理研究 ›› 2020, Vol. 39 ›› Issue (3): 669-681.doi: 10.11821/dlyj020190021

• 研究论文 • 上一篇    下一篇

基于修正引力模型的中国省际旅游者流空间网络结构特征

周慧玲1,2, 王甫园3,4()   

  1. 1. 桂林理工大学旅游与风景园林学院,桂林 541004
    2. 广西旅游产业研究院,桂林 541004
    3. 中国科学院地理科学与资源研究所,北京 100101
    4. 中国科学院区域可持续发展分析与模拟重点实验室,北京 100101
  • 收稿日期:2019-01-07 修回日期:2019-07-23 出版日期:2020-03-20 发布日期:2020-05-20
  • 通讯作者: 王甫园
  • 作者简介:周慧玲（1975-）,女,湖南永州人,博士,教授,研究方向为旅游地理。E-mail: huiling_zhou@163.com
  • 基金资助:
    湖南省社科成果评审委员会重点课题(XSP18ZD1038);湖南省教育科学“十二五”规划项目(XJK015B-GD031);中国博士后科学基金资助项目(2018M641457);湖南省教育厅重点项目(16A085)

Research on structure characteristics of the inter-provincial tourist flow spatial network in China based on the modified gravity model

ZHOU Huiling1,2, WANG Fuyuan3,4()   

  1. 1. College of Tourism & Landscape Architecture, Guilin University of Technology, Guilin 541004, Guangxi, China
    2. Institute of Guangxi Tourism Industry, Guilin 541004, Guangxi, China
    3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    4. Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China
  • Received:2019-01-07 Revised:2019-07-23 Online:2020-03-20 Published:2020-05-20
  • Contact: WANG Fuyuan

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摘要：

高速交通时代旅游者流空间网络结构具有什么特征,是全国旅游流空间组织和管理需要探索的基础问题。贴近客观实际修正引力模型的相关参数,测算中国省际旅游者流,结合复杂网络分析方法,探索空间网络结构的优势、联系和发育水平。分析发现该网络结构稳定,旅游者流大量汇聚于中国的东南半壁、流动不对称、邻近型和跳跃型空间联系结构并存、层级性明显。具体表现为：首先,从优势水平来看,旅游流大量汇聚于上海（东）-广东（南）-四川（西）-河北（北）区域范围内。其次,从联系水平来看,东部三省江苏、浙江、山东是各地优势流量的主要汇聚之所,西藏的排名靠末。最后,从发育水平来看,旅游流动不对称,网络有“紧密团块型”和“飞地跨越型”两种空间联系结构且表现出层级性,不平衡发育状态将在较长时间内保持不变。

关键词: 引力模型, 旅游空间结构, 省际旅游, 旅游者流空间网络, 结构特征

Abstract:

The characteristics of the spatial network structure of tourist flow in a high-speed transportation era are the fundamental issue that needs to be explored in the spatial organization and management of the national tourist flow. Through modification of relative parameters of the gravity model close to reality to calculate the inter-provincial tourist flow, and with application of the complex network analysis method to measure the superiority, connectivity and development level of the inter-provincial tourist flow spatial network structure in China, the research reveals the following characteristics of the spatial network structure: the structure of the inter-provincial tourist flow spatial network in China is stable, with tourist flows converging in Southeast China, asymmetric flow, coexistent spatial connectivity structures of proximity type and skipping type, and significant hierarchical structure. In practical terms: (1) Seen from the superiority of the inter-provincial tourist flow spatial network in China, main tourist destinations and main target tourism markets are overlapping, the tourism flow largely converges within the region along Shanghai (East)-Guangdong (South)-Sichuan (West)-Hebei (North); (2) Seen from the connectivity level of the inter-provincial tourist flow spatial network in China, three eastern provinces of Jiangsu, Zhejiang and Shandong are main converging places with the superior tourism flow from various regions, among which Jiangsu and Zhejiang even have created a mutually beneficial relationship; while Tibet is at the bottom of the list, especially the flow from Hainan; (3) Seen from the development level of the inter-provincial tourist flow spatial network in China, the entropy is fairly high, and the structure is stable; the tourism flow presents asymmetry at a certain level, and the spatial converge of superior tourism flow is obvious; and there is basically no group-organizing phenomenon within the spatial network; the inter-provincial tourist flow spatial network China has two types of structure, namely “close mass connection structure” and the “enclave spanning connection structure”. The former is represented by Jiangsu, Zhejiang and Shanghai, and the latter by Jiangsu and Guangdong; the inter-provincial tourist flow spatial network in China is of hierarchical nature, roughly presenting a pattern of eastern-central-western gradient weaving; and the status of unbalanced development will remain unchanged for a relatively long time.

Key words: gravity model, tourism spatial structure, inter-provincial tourism, tourist flow spatial network, structure characteristics