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人文地理  2020, Vol. 35 Issue (1): 132-140    DOI: 10.13959/j.issn.1003-2398.2020.01.015
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高铁沿线旅游流网络结构及其互动关系研究——以合福高铁沿线地区为例
李磊1,2, 陆林1,2, 孙小龙3, 虞虎4,5
1. 安徽师范大学 地理与旅游学院, 芜湖 241000;
2. 安徽师范大学 旅游发展与规划研究中心, 芜湖 241000;
3. 贵州师范大学 国际旅游文化学院, 贵阳 550001;
4. 中国科学院 地理科学与资源研究所, 北京 100101;
5. 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
STUDY ON THE NETWORK STRUCTURE AND INTERACTIVE RELATIONSHIP OF TOURISM FLOW ALONG HIGH-SPEED RAILWAY: AN EXAMPLE OF HEFEI-FUZHOU HIGH-SPEED RAILWAY
LI Lei1,2, LU Lin1,2, SUN Xiao-long3, YU Hu4,5
1. School of Geography and Tourism, Anhui Normal University, Wuhu 241000, China;
2. Center for Tourism Planning and Research, Anhui Normal University, Wuhu 241000, China;
3. School of International Tourism & Culture, Guizhou Normal University, Guiyang 550001, China;
4. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
5. Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China

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摘要 利用复杂网络分析方法,对合福高铁沿线城市和景区两个尺度上的旅游流网络结构和互动关系进行研究。结果表明:①合福高铁沿线旅游流网络规模大,覆盖面积广,但网络密度极低,具有显著的"中心-外围"结构;②合福高铁沿线核心旅游城市和重点旅游景区在网络中的功能突出、角色重要,其中高能级景区表现出较强的辐射效应,对周边节点具有较强的带动作用;③合福高铁沿线旅游景区之间已经形成了"一超多强"、"双核互动"和"单节点"三种合作关系,但网络中的合作关系受行政边界的屏蔽仍十分明显。
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李磊
陆林
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关键词 旅游流网络互动关系复杂网络分析方法Gephi不同尺度合福高铁    
Abstract:Using complex network analysis method, study the structure characteristics and interactive relationship of tourism flow network on two scales of cities and scenic spots along the Hefei-Fuzhou high-speed railway. The results show that:1) The tourism flow network along the Hefei-Fuzhou high-speed railway has a large overall scale and a wide coverage area, but the network density is extremely low, with a significant "center-periphery" structure. 2) Tourist destinations along Hefei-Fuzhou high-speed railway form the hierarchical distribution with distinct structure, which can be divided into four basic types of integrated tourism center, regional tourism center, general tourist destination and marginal tourist destination according to the importance in the network. 3) The tourism cooperation between the cities along the Hefei-Fuzhou high-speed railways is not significant, but it has formed three typical types of partnership which is "super power and multi-great power", "dual-core interaction" and "single node" on the scenic scale, and these partnerships are still dominated by a city's internal nodes along the high-speed rail.
Key wordstourism flow network    interactive relationship    complex network analysis method    Gephi    different scales    Hefei-Fuzhou high-speed railway   
收稿日期: 2019-01-28     
PACS: F901  
基金资助:国家自然科学基金重点项目(41930644)
通讯作者: 陆林(1962-),男,安徽芜湖人,教授,博导,主要研究方向为旅游地理与旅游管理。E-mail:llin@263.net。     E-mail: llin@263.net
作者简介: 李磊(1993-),男,河南罗山人,硕士,主要研究方向为高铁旅游和旅游规划。E-mail:ahnulilei@163.com。
引用本文:   
李磊, 陆林, 孙小龙, 虞虎. 高铁沿线旅游流网络结构及其互动关系研究——以合福高铁沿线地区为例[J]. 人文地理, 2020, 35(1): 132-140. LI Lei, LU Lin, SUN Xiao-long, YU Hu. STUDY ON THE NETWORK STRUCTURE AND INTERACTIVE RELATIONSHIP OF TOURISM FLOW ALONG HIGH-SPEED RAILWAY: AN EXAMPLE OF HEFEI-FUZHOU HIGH-SPEED RAILWAY. HUMAN GEOGRAPHY, 2020, 35(1): 132-140.
链接本文:  
http://rwdl.xisu.edu.cn/CN/10.13959/j.issn.1003-2398.2020.01.015      或     http://rwdl.xisu.edu.cn/CN/Y2020/V35/I1/132
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