摘要
随着社交网络的普及与移动互联网技术的快速发展,信息技术被广泛应用于旅游行业中,来自互联网的旅游足迹为旅游时空行为研究提供了新的数据来源。本文从马蜂窝旅游网收集数据,选择旅游目的地为南京的游记,从游记中获取游客在玄武区内的旅游线路。运用数据挖掘、社会网络分析等方法,分析游客的时间行为及空间行为,得到结论:游客到访景区的时间特征方面,景区资源分布比重未呈现明显季节性差异,热门景区类型稳定保持排名前六;游客旅游路径的空间分布呈现三个核心区域空间分布密集,周边分布较零散的特点。最后针对数据呈现的特征,尝试为南京市玄武区旅游发展和空间优化提出建议。
With the popularity of social networks and the rapid development of mobile Internet technology,information technology has been widely used in the tourism industry,and the travel footprint from the Internet provides a new data source for the study of space-time behavior of tourism.This paper collects data from the Mafengwo travel website,selects the travel notes of Nanjing as the destination,and obtains the tourist routes in Xuanwu district from the travel notes.Data mining and social network analysis were used to analyze the temporal and spatial behaviors of tourists,and conclusions were drawn:in terms of the temporal characteristics of tourists visiting scenic spots,there was no significant seasonal difference in the proportion of resources in scenic spots,and the types of popular scenic spots remained in the top six.The spatial distribution of tourist routes is characterized by dense spatial distribution in the three core areas and scattered distribution in the surrounding areas.Finally,according to the characteristics of the data,this paper tries to put forward suggestions for the tourism development and spatial optimization in Xuanwu district of Nanjing.
作者
陈子微
姚建盛
CHEN Zi-wei;YAO Jian-sheng(College of Tourism&Landscape Architecture,Guilin University of Technology,Guilin 541006)
出处
《软件》
2020年第5期179-183,共5页
Software
关键词
旅游数字足迹
时间行为
空间行为
Tourism Digital Footprint
Temporal Behavior
Spatial Behavior
作者简介
陈子微(1996-),女,本科生,专业方向:智慧旅游;姚建盛(1980-),男,博士,讲师,主要研究方向:智慧旅游。
