[1]杜家禛,靳 诚,徐 菁,等.长江三角洲虚拟旅游流空间格局及其影响因素分析[J].南京师大学报(自然科学版),2021,44(02):48-54.[doi:10.3969/j.issn.1001-4616.2021.02.008]
　Du Jiazhen,Jin Cheng,Xu Jing,et al.The Spatial Pattern of Virtual Tourism Flow and Its InfluencingFactors in Yangtze River Delta[J].Journal of Nanjing Normal University(Natural Science Edition),2021,44(02):48-54.[doi:10.3969/j.issn.1001-4616.2021.02.008]
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长江三角洲虚拟旅游流空间格局及其影响因素分析()
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《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
第44卷
期数:
2021年02期
页码:
48-54
栏目:
·地理学·
出版日期:
2021-06-30

文章信息/Info

Title:
The Spatial Pattern of Virtual Tourism Flow and Its InfluencingFactors in Yangtze River Delta
文章编号:
1001-4616(2021)02-0048-07
作者:
杜家禛1; 靳 诚1; 2; 徐 菁3; 周玉翠4
(1.南京师范大学地理科学学院,江苏 南京 210023)(2.江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023)(3.南京晓庄学院旅游与社会管理学院,江苏 南京 211171)(4.衢州学院商学院,浙江 衢州 324000)
Author(s):
Du Jiazhen1; Jin Cheng1; 2; Xu Jing3; Zhou Yucui4
(1.School of Geography,Nanjing Normal University,Nanjing 210023,China)(2.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)(3.Tourism and Social Administration College,Nanjing Xiaozhuang University,Nanjing 211171,China)(4.College of Business,Quzhou University,Quzhou 324000,China)
关键词:
虚拟旅游流; 半参数GWR模型; 影响因素; 百度指数
Keywords:
virtual tourism flow; semi-parametric GWR model; influencing factors; Baidu index
分类号:
K902,F592
DOI:
10.3969/j.issn.1001-4616.2021.02.008
文献标志码:
A
摘要:
旅游流作为地理学与旅游学的交叉领域,一直是旅游地理学研究的重点问题. 当前旅游流研究多从现实角度探讨,未考虑到虚拟网络空间中的信息流动,缺乏对虚拟旅游流格局及其影响因素探索. 本文将百度指数中的搜索指数作为虚拟旅游流分析数据,利用ArcGIS和Geoda软件解析了长江三角洲虚拟旅游流空间格局,通过模型对比选取半参数GWR模型,从流入、流出视角在市域尺度探寻了虚拟旅游流影响因素. 结果表明:2013—2018年虚拟旅游流具有明显的地缘偏向,呈现核心—边缘结构; 2013年旅游流网络密度在流入虚拟旅游流半参数GWR模型中是具有流动性的局部参数,是旅游流流入主要牵引力,而人口和人均可支配收入则是流出虚拟旅游流的非固定性参数,人口的增长对旅游流流出的扩大作用优于人均可支配收入的增加; 2018年A级景点数是流入虚拟旅游流的非固定性变量,对长江三角洲市域流入虚拟旅游流具有推动作用,而社会消费品零售总额、互联网宽带用户接入量则为流出市域中的显著性流动变量.
Abstract:
Tourism flow,which is the cross-field within tourism and geography,plays an important role in study of Tourism Geography. However,previous studies have lacked exploration regarding the pattern of virtual tourism flow and its influencing factors and missed consideration about information flow in cyberspace. In fact,most studies on tourism flow only be discussed from practical point recently. In this paper,the search index in the Baidu index is used as the analysis data of virtual tourism flow. The space pattern of virtual tourism flow in Yangtze River Delta has been explored by ArcGIS and Geoda. A semi-parametric GWR model is employed for analyzing virtual tourism’s influencing factors from the perspective of inflow and outflow by comparison. The results show that:firstly,it is easy to find the feature of geographical bias in virtual tourism flow which shows the core-periphery structure in space from 2013 to 2018. Secondly,in 2013,the density of tourism flow network in the semi-parametric GWR model of the inflow of virtual tourism flow is a local parameter with liquidity,which also is the main traction force for the inflow of tourism flow,while population and per capita disposable income are non-fixed parameters of the outflow of virtual tourism flow. Population growth has a greater effect on the expansion of tourism outflow than the increase in per capita disposable income. Thirdly,the amount of A-level tourism spots in 2018 is non-fixed variable which belongs to the inflow of virtual tourism flow,promoting the inflow of virtual tourism flow in Yangtze River Delta city area,while the total retail sales of consumer goods and the amount of Internet broadband user access are significant flow variables for the outbound virtual tourism flow of cities.

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备注/Memo

备注/Memo:
收稿日期:2020-07-31.
基金项目:国家自然科学基金项目(41871137)、安徽省社会科学普及项目(GZ18023)、安徽省哲学社会科学规划项目(AHSKY2018D17).
通讯作者:靳诚,博士,教授,研究方向:区域发展与旅游地理. E-mail:jincheng163.com
更新日期/Last Update: 2021-06-30