摘要
出游时长与旅游行为密切相关。基于携程网游记数据,综合利用文本挖掘、地理信息系统空间分析、社会网络分析等方法,挖掘1~3 d、4~6 d和7~10 d三种出游时长下旅游景区到访特征。结果表明:①短途旅游受景区知名度、可达性与城市配套的影响,随时长增加,旅游景区“多核摄动”且密织成网;②旅游景区到访空间异质性显著,随出游时长增加,从金三角逐步发展为钻石四边形结构,知名景区溢出效应显著;③短时旅行只能走马观花,时间充裕有助于灵活多样的线路设计;④三种出游时长下旅游景区共现网络整体密度较低,且随出游时长的增加而逐渐变密,均呈现显著的等级层次性和核心–外围结构特性。
The duration of travel is closely related to tourist behaviors.Based on the user-generated content data from Ctrip,this study employs text mining,statistical analysis,GIS spatial analysis,social network analysis,and other methods to explore the characteristics of tourist visits to attractions under three travel durations:1-3 days,4-6 days,and 7-10 days.The results show that:①For short-term travel,the popularity and accessibility of attractions,as well as their proximity to urban areas,have significant influences.As the travel duration increases,tourist attractions become increasingly interconnected,forming a dense network of“multi-core perturbation”.②The spatial heterogeneity of tourist attraction visits is significant,with a gradual shift from a“golden triangle”to a“diamond-shaped”structure as the travel duration increases.The overflow effect of well-known attractions is significant.③Short-term travel allows for only a superficial experience of the attractions,while longer durations enable more diverse and flexible route planning.④The overall density of the tourist attraction co-occurrence network is low under all three travel durations,gradually increasing with longer travel durations.Additionally,the network exhibits significant hierarchical and core-periphery structural characteristics.
作者
张红
李玥
王宇
ZHANG Hong;LI Yue;WANG Yu(School of Urban and Regional Science,East China Normal University,Shanghai 200241,China;Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China)
出处
《时空信息学报》
2023年第1期124-134,共11页
JOURNAL OF SPATIO-TEMPORAL INFORMATION
基金
国家自然科学基金面上项目(42171420)
四川省科技支撑计划项目(2020YJ0325)
上海市哲学社会科学规划课题(2020BGL034)
上海市自然科学基金项目(21ZR1421100)
上海市软科学基金项目(22692108000)
华东师范大学2022年教学改革与研究项目(2022HSJG006)。
关键词
出游时长
网络游记
旅游景区
文本共现
空间结构
travel duration
user-generated content
tourist attractions
text co-occurrence
spatial structure
