李航飞, 唐承财. 广东省市域旅游联系网络结构特征及成因分析[J]. 华南师范大学学报(自然科学版), 2021, 53(6): 96-104. doi: 10.6054/j.jscnun.2021098
引用本文: 李航飞, 唐承财. 广东省市域旅游联系网络结构特征及成因分析[J]. 华南师范大学学报(自然科学版), 2021, 53(6): 96-104. doi: 10.6054/j.jscnun.2021098
LI Hangfei, TANG Chengcai. An Analysis of the Structural Characteristics of the Tourism Contact Network in Cities of Guangdong Province and Their Causes[J]. Journal of South China Normal University (Natural Science Edition), 2021, 53(6): 96-104. doi: 10.6054/j.jscnun.2021098
Citation: LI Hangfei, TANG Chengcai. An Analysis of the Structural Characteristics of the Tourism Contact Network in Cities of Guangdong Province and Their Causes[J]. Journal of South China Normal University (Natural Science Edition), 2021, 53(6): 96-104. doi: 10.6054/j.jscnun.2021098

广东省市域旅游联系网络结构特征及成因分析

An Analysis of the Structural Characteristics of the Tourism Contact Network in Cities of Guangdong Province and Their Causes

  • 摘要: 为有效促进广东省区域旅游协调发展,以2012—2018年百度指数中的网络关注度为依据,利用社会网络分析方法探讨广东省市域旅游联系的网络结构特征,并分析其形成机制. 研究结果表明:(1)广东省市域旅游联系网络密度不断增大,网络集中度不断下降,网络向均衡化方向发展. (2)广东省四大区域旅游网络联系派系结构不明显,“俱乐部”效应不显著,但在空间上呈现较为明显的“核心—边缘”结构特点;珠三角地市,特别是广州、深圳市,一直处于核心区,点度中心度高,为多维尺度(MDS)图中的第一梯队,东莞、佛山、惠州、珠海市为第二梯队,其余地市为第三梯队. (3)影响广东省市域旅游网络联系强弱的因素主要有时间距离、空间近邻效应、经济发展水平及旅游资源.

     

    Abstract: To effectively promote the coordinated development of regional tourism in Guangdong Province, the internet attention degree of Baidu index from 2012 to 2018 and the social network analysis method are used to study the structural characteristics of tourism contact network in cities of Guangdong Province and the mechanism for their formation. The following results are obtained. First, the density of the tourism contact network has been increasing, the concentration of the network has been declining and the network develops in the direction of equalization. Second, the factional structure of tourism networks of four regions of Guangdong Province is not obvious. Nor is the "club" effect. But the "core-edge" structure are relatively obvious. The cities in the Pearl River Delta, especially Guangzhou and Shenzhen, have always been in the core area with a high point center degree, belonging to the first echelon in the MDS chart. The cities such as Dongguan, Foshan, Huizhou and Zhuhai are in the second echelon, and the rest of the cities fall into the third echelon. Third, the main factors affecting the strength of the tourism network in Guangdong Province are time, distance, spatial neighbor effect, economic development and tourism resources.

     

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