长江流域资源与环境 >> 2021, Vol. 30 >> Issue (2): 290-301.doi: 10.11870/cjlyzyyhj202102004

• 区域可持续发展 • 上一篇    下一篇

基于百度指数的长江三角洲虚拟旅游流流动特征和影响因素分析

杜家禛1,徐  菁2* ,靳  诚 1,3   

  1. (1.南京师范大学地理科学学院,江苏 南京 210023,2.南京晓庄学院旅游与社会管理学院,江苏 南京 211171;3.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)
  • 出版日期:2021-02-20 发布日期:2021-03-18

Regional Virtual Tourism Flow and Its Influencing Factors Based on Baidu Index:A Case Study in Yangtze River Delta

DU Jia-zhen 1, XV Jing 2 ,JIN Cheng 1,3   

  1. (1.School of Geographical Science,Nanjing Normal University,Nanjing 210023,China;2.Tourism and Social Administration College,Nanjing Xiaozhuang University,Nanjing 211171,China;3.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
  • Online:2021-02-20 Published:2021-03-18

摘要: 旅游流是游客在空间区域内的集散过程所带来的一系列经济社会发展效应,是旅游系统的神经中枢和纽带。传统旅游流研究多集中于现实旅游流,对虚拟旅游流涉及较少,数据获取多依靠调查问卷与景区提供,具有局限性。文章基于百度指数,在保证数据容量与准确度的基础上以长江三角洲为研究对象,构建O-D虚拟旅游流矩阵探究区域虚拟旅游流流动特征,并利用地理加权回归(GWR)模型从流入市域、流出市域两方面,分析不同市域的虚拟旅游流影响因素。结果表明:(1)长江三角洲虚拟旅游流空间分布不均,流动性较强,形成以合肥、南京、苏州、杭州、上海为核心节点的放射状网络。(2)A级景区数量、住宿和餐饮业从业人员以及公路里程可以较好的解释流入虚拟旅游流市域分布。其中,A级景区对流入虚拟旅游流影响最为显著,住宿和餐饮业的发展对长江三角洲西北部虚拟旅游流的流入具有推动力,而公路里程对整个长江三角洲流入虚拟旅游流影响最小。(3)私人汽车拥有量、社会消费品零售总额、互联网宽带用户接入量对流出虚拟旅游流有较强的影响。社会消费品零售总额代表的经济因素是市域虚拟旅游流流出的决定因素,经济越发达的区域,人们的出游意愿越强烈,也更愿意利用网络抓取旅游信息流追求高质量旅游出行行为。

Abstract: The tourism flow is a series of economic and social effect caused by the concentration and diffusion of tourists in spatial area,and it is the nerve center and vessel of tourism system.Former studies on tourism flow are mostly concentrated on realistic tourism flow instead of virtual tourism flow,and data acquisition is based on questionnaire or statistical data of scenic spots which has limitations.The paper,supported by Baidu index and based on the substantial and accurate data,constructs O-D virtual tourism flow matrix to conduct research on the characteristics of regional virtual tourism flow and uses the Geographic Weighted Regression(GWR)model to analyze the influencing factors of virtual tourism flow in different cities from two aspects of inflow and outflow.The following results can be obtained:(1)The virtual tourism flow in the Yangtze River Delta is unevenly distributed and has strong mobility,forming a radial network with Hefei,Nanjing,Suzhou,Hangzhou and Shanghai as the core nodes.(2)The number of A-level scenic spots,accommodation and catering industry employees and highway mileage can better explain the distribution of the inbound virtual tourism flow.Among them,the A-level scenic spots have the most significant impact on the inbound virtual tourism flow.The development of accommodation and catering industry has a driving force to the inbound virtual tourism flow in northwest of the Yangtze River Delta,and the mileage of highways has the least impact on the inbound virtual tourism flow throughout the Yangtze River Delta.(3)Private car ownership,total retail sales of consumer goods,and Internet broadband user access have a strong impact on outbound virtual tourism flow.The economic factor represented by the total retail sales of consumer goods is the decisive factor for the outbound virtual tourism flow.The more developed the economy is,the more people want to travel.They are also more willing to use the network to capture tourism information flow and pursue high-quality tourism travel behavior.

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