美丽中国中脊带传统村落旅游流时空分布及网络结构分析
DOI:
作者:
作者单位:

作者简介:

通讯作者:

基金项目:


Spatio-temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Mid-spine Belt of Beautiful China
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    美丽中国中脊带传统村落旅游资源丰富、游览价值高,开展旅游流研究有利于推进“中脊带”传统村落旅游资源保护和乡村振兴。基于网络游记数据,利用ArcGIS和社会网络分析方法,对“中脊带”传统村落旅游流的时空分布及网络结构特征进行分析。结果表明:传统村落旅游流以中短期旅游为主,呈现明显的季节波动性;“中脊带”旅游流整体呈现以云南双廊村为核心的空间分布特征,不同省域空间格局类型包括“单核多点”型、“双核多点”型和“多核多点”型;“中脊带”传统村落旅游流网络密度较低,传统村落旅游节点间关系较为松散,传统村落旅游节点对非传统村落节点具有一定依赖性;核心节点以“混合核心型”为主,对边缘节点的辐射带动作用不显著。

    Abstract:

    Traditional villages in the Mid-Spine Belt of Beautiful China are abundant in tourism resources and have a high tourism value. Conducting tourist flow study helps to promote the preservation of traditional village tourism resources and rural revitalization in the MSBBC. Based on online travel data, ArcGIS and social network analysis techniques were used to examine the network structure features and the spatial and temporal distribution of the traditional village tourist flow in MSBBC. Findings indicate that short- and medium-term tourism dominates the tourism flow in traditional villages in MSBBC in terms of temporal distribution, with notable seasonal variations. The Yunnan village of Shuanglang serves as the hub of the entire geographical distribution pattern of the tourism flow. Three categories may be used to categorize the geographical distribution patterns seen in various provinces: "single-core and multipoint," "dual-core and multipoint," and "multi-core and multipoint." The traditional village tourist flow network density in MSBBC is low. Traditional village tourism nodes have a rather loose link with one another, and they rely on non-traditional village nodes. Core nodes mainly belong to "mixed core type", has no significant radiative effect on the edge node.

    参考文献
    相似文献
    引证文献
引用本文

皇甫子贞,刘春腊,徐美.美丽中国中脊带传统村落旅游流时空分布及网络结构分析[J].科技与产业,2025,25(01):150-158

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2025-01-23
×
《科技和产业》
喜报 | 学会期刊《科技和产业》成为国家哲学社会科学文献中心2024年度最受欢迎的经济学期刊