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Spatio-temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Mid-spine Belt of Bea.jpgul China
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Zizhen HUANGFU1, 2, Chunla LIU1, 2, Mei XU3
Science Technology and Industry | 2025, 25(1) : 150 - 158
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Science Technology and Industry | 2025, 25(1): 150-158
• Regional Practice •
Spatio-temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Mid-spine Belt of Bea.jpgul China
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Zizhen HUANGFU1, 2, Chunla LIU1, 2, Mei XU3
Affiliations
  • 1 College of Geographical Sciences, Hunan Normal University, Changsha 410081, China
  • 2 Key Laboratory of Geospatial Big Data Mining and Application, Hunan Normal University, Changsha 410081, China
  • 3 College of National Park and Tourism, Central South University of Forestry and Technology, Changsha 410004, China
Published: 2025-01-10
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Traditional villages in the Mid-Spine Belt of Bea.jpgul 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.

Mid-Spine Belt of Bea.jpgul China  /  traditional village tourism  /  tourist flows  /  social network analysis  /  network structure
Zizhen HUANGFU, Chunla LIU, Mei XU. Spatio-temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Mid-spine Belt of Bea.jpgul China[J]. Science Technology and Industry, 2025 , 25 (1) : 150 -158 .
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  • Receive Date：2024-07-19
  • Online Date：2025-07-20
  • Published：2025-01-10
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  • Received：2024-07-19
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Affiliations
    1 College of Geographical Sciences, Hunan Normal University, Changsha 410081, China
    2 Key Laboratory of Geospatial Big Data Mining and Application, Hunan Normal University, Changsha 410081, China
    3 College of National Park and Tourism, Central South University of Forestry and Technology, Changsha 410004, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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