| 贵州省避暑旅游流网络结构特征及其影响因素 |
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| 引用本文： | 李磊,陶卓民,陆林,孙小龙,刘红兰.贵州省避暑旅游流网络结构特征及其影响因素[J].地理研究,2021,40(11):3208-3224. |
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| 作者姓名： | 李磊 陶卓民 陆林 孙小龙 刘红兰 |
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| 作者单位： | 1.南京师范大学地理科学学院,江苏省地理信息资源开发与利用协同创新中心,南京 2100232.安徽师范大学地理与旅游学院,芜湖 2410023.贵州师范大学国际旅游文化学院,贵阳 550025 |
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| 基金项目： | 国家自然科学基金面上项目(41571139);国家自然科学基金重点项目(41930644);江苏省高校优势学科建设工程资助项目(164320H116) |
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| 摘 要： | 气候环境对人类行为具有重要影响,在全球变暖和城市热岛效应不断加剧的背景下,避暑旅游已经成为全球旅游者夏季出行的重要选择。贵州省作为中国国内主要的避暑旅游目的地之一,针对避暑旅游流网络特征及影响因素的研究尚未开展。本研究通过对贵州省避暑旅游现象长期的跟踪调查,获取2015—2019年间有效避暑旅游流线路数据2177条,运用复杂网络、GIS空间分析、QAP回归分析等方法,对避暑旅游流网络结构特征和影响因素进行研究。结果表明：① 避暑旅游流网络规模大、密度低,集聚特征明显,网络发育不完善,具有显著的“核心-边缘”结构,核心城市和景区分别呈“板块”和“点轴”状分布,旅游流线路具有“基营”和“环线”式结构特征。② 交通中心城市和核心景区是避暑旅游流的集散中心,贵阳在整体网络中具有突出优势和无法替代的地位,避暑旅游城市和景区在空间上相互交织,形成“贵（阳）安（顺）-荔波-凯（里）镇（远）”的“▽”空间结构。③ 避暑旅游流空间分布受气候舒适度、空间邻近性、旅游资源禀赋、接待服务能力和交通便捷程度等因素共同影响。最后,从区域旅游协调发展、旅游统计数据改革、网络空间结构优化等方面,对贵州省避暑旅游高质量发展提供了对策建议。
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| 关 键 词： | 避暑旅游 旅游流网络 气候舒适度 贵州省 复杂网络分析 QAP回归 |
| 收稿时间： | 2020-11-25 |
Structural characteristics and influencing factors of summer tourism flow network in Guizhou province |
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| LI Lei,TAO Zhuomin,LU Lin,SUN Xiaolong,LIU Honglan.Structural characteristics and influencing factors of summer tourism flow network in Guizhou province[J].Geographical Research,2021,40(11):3208-3224. |
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| Authors: | LI Lei TAO Zhuomin LU Lin SUN Xiaolong LIU Honglan |
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| Institution: | 1. School of Geography, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China2. School of Geography and Tourism, Anhui Normal University, Wuhu 241002, Anhui, China3. School of International Tourism & Culture, Guizhou Normal University, Guiyang 550025, China |
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| Abstract: | Climate and environment have a great influence on human health, and climate comfort is an important factor in tourists' mobility behavior. Under global warming and the increasing effect of urban heat islands, travel to the cool areas has become a major choice for more and more tourists in summer holidays. Guizhou province is located on the Yunnan-Guizhou Plateau in Southwest China. It is one of the coolest areas in summer and one of China's favorite summer tourist destinations. The number of summer tourists in Guizhou has grown rapidly in the past few years, but previous studies have not been carried out on the characteristics and influencing factors of the summer tourism flow network in the province. This paper, based on long-term investigations of the summer tourism phenomena in the study area, obtained 2177 valid summer tourism flow route data from 2015 to 2019. Then, we use complex network analysis, spatial analysis (GIS), quadratic assignment procedure (QAP), and other methods to study the summer tourism flow network's structural characteristics and influencing factors. The results are as follows: (1) Summer tourism flow network presents characteristics of large scale, low density, obvious agglomeration and imperfect development, and a structure of significant "core-periphery". The core cities and scenic spots are distributed in a "plates" and "point axis" pattern, and tourism flow routes have the structural characteristics of "base camp" and "trip chaining." (2) The transportation city and core scenic spots are the centers of summer tourism flow. Guiyang is the most important node city in the network, with outstanding advantages and irreplaceable status in the overall network. In terms of spatial distribution, summer tourism cities and scenic spots form a "▽"-shaped network of Guiyang & Anshun-Libo-Kaili & Zhenyuan. (3) The spatial distribution of summer tourism flow is affected by climate comfort, spatial proximity, tourism resource endowment, reception service capacity and transportation convenience, but urban economic development has no significant impact on it. Finally, this paper provides countermeasures and suggestions for the high-quality development of summer tourism in Guizhou from aspects of coordinated regional tourism development, tourism statistical data reform, and network space structure optimization. |
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| Keywords: | summer tourism tourism flow network summer tourism comfort Guizhou province complex network analysis Quadratic Assignment Procedure (QAP) |
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