自然科学版
陕西师范大学学报(自然科学版)
旅游业高质量发展研究专题
基于百度指数的中国省域旅游信息流网络结构特征及其影响因素
PDF下载 ()
韩剑磊1,明庆忠2*,史鹏飞2,骆登山2
(1 云南财经大学 旅游与酒店管理学院,云南 昆明 650221;2 云南财经大学 旅游文化产业研究院,云南 昆明 650221)
明庆忠,男,教授,博士生导师,主要从事区域旅游规划与开发管理研究。E-mail:mingqingzhong01@163.com
摘要:
基于百度指数所表征的旅游信息流,运用社会网络分析和地理探测器等方法,对我国省域旅游信息流网络空间结构特征及影响因素进行分析。研究表明:中国省域旅游信息流空间网络整体关系有弱化趋势,核心-边缘结构明显;旅游信息流的规模、关联及控制效率水平呈明显的“客源地-目的地”二元空间异化结构特征。省域间旅游信息流主要由东部地区外向流出,内向流入我国西部地区,呈现由东到西的信息流向。旅游目的地信息流关联水平由西南部地区向东北部地区递减,旅游客源地信息流关联水平由东部地区向中部、西部地区递减;目的地及客源地市场旅游信息流表现出集聚化、一体化空间关联发展特征。旅游信息流中转中心呈3级梯度向心分布,各省域在有效利用旅游信息流进行空间辐射关联方面表现出东西强、中部次之、南北较弱的“S”型空间分布特征;我国旅游信息流网络在“客源地-目的地”两个空间维度受到指向明确、强弱差异明显的“推力-拉力-阻力”三方面作用力综合影响,表现出明显的空间作用差异。
关键词:
百度指数;旅游信息流网络;影响机理;社会网络分析;地理探测器
收稿日期:
2020-08-15
中图分类号:
F590
文献标识码:
A
文章编号:
1672-4291(2021)06-0043-11
基金项目:
国家社会科学基金青年项目(19CGL029);国家自然科学基金(41671147);云南省教育厅科学研究基金(2019J0934)
Doi:
10.15983/j.cnki.jsnu.2021.04.017
The structural characteristics and influencing factors of tourism information flow network in China based on Baidu index
HAN Jianlei1,MING Qingzhong2*,SHI Pengfei2,LUO Dengshan2
(1 School of Tourism and Hotel Management,Yunnan University of Economics and Finance, Kunming 650221,Yunnan,China;2 Tourism and Cultural Industry Research Institute, Yunnan University of Economics and Finance, Kunming 650221,Yunnan, China)
Abstract:
Tourism information has a directional influence on tourism decision-making and behavior and its large-scale flow is an important decisive force in the organizational form and spatial pattern of regional tourism market. Based on the tourism information flow represented by Baidu index, the methods of social network analysis and geographic detector are used to analyze the characteristics and influencing factors of the spatial network of China′s provincial tourism information flow.The results show that there is a weakening trend in the overall relationship of China′s provincial tourism information flow spatial network.A “core-edge” structure is obviously shown as well. The scale, correlation and control efficiency of tourism information flow show an obvious characteristics of “source-destination” two-dimensional spatial dissimilation structure. The information flow of inter-provincial tourism flows outward from the eastern region and inward into the western region of China, showing a overall flow of information from east to west. The association level of information flow in tourist destinations decreases from the southwest region to the northeast region and the correlation level of information flow in tourist sources decreases from the eastern region to the central and western region. The tourism market information flow of destination and tourist source area is characterized by agglomeration, integration and spatial correlation. The effective utilization of tourism information flow for spatial radiation correlation in each province shows a spatial distribution of “S” type, which is strong in the east and west followed by the middle and weak in the north and south. China′s tourism information flow network in the “source-destination” two spatial dimensions is influenced by three forces of “thrust-pull-resistance” with clear direction and strength difference, showing an obvious difference in spatial effect.
KeyWords:
Baidu index; tourism information flow network; influence mechanism; social network analysis; geographical detector