基于网络文本大数据的游客时空行为与景区游赏体验分析  

Analysis of Tourists'Spatial-temporal Behavior and Scenic Spot Experience based on Web Text Big Data

作　　者：翟宇佳[1] 范彬彬 施澄[1] 

机构地区：[1]同济大学建筑与城市规划学院

出　　处：《建筑与文化》2023年第4期94-96,共3页Architecture & Culture

摘　　要：利用574条网络游记与2400条网络点评等文本数据,及词频分析、语义编码等方法,分析游客行程、景点间的联系及游客对西安的感知满意度。结果表明,西安游客平均访问6.37个景点,且多在前几站访问回民街、秦始皇陵、华清宫等热门景点。行程分析识别出回民街、大雁塔和秦始皇陵三个主要景点组团。历史文化、热门景点、特色游憩项目与特色美食为西安主要吸引点,但游客对游客量与排队等待时间较不满意。未来规划设计应利用热门景区的巨大流量、管控游客量、开发夜游与演出等特色游憩项目。Using 574 online travelogues and 2400 online reviews,as well as word frequency analysis and semantic coding,we analyzed the connections between tourists'itineraries and attractions and their perceived satisfaction with Xi'an.The results show Xi'an tourists visit 6.37 scenic spots on average.Most tourists visit popular scenic spots such as Muslim Street,Qin Shihuang's Mausoleum and Huaqing Palace in the first few stops.The itinerary analysis identifies three attraction clusters:Muslim Street,Big Wild Goose Pagoda and Qin Shihuang's Mausoleum.History and culture,popular attractions,featured recreational activities and featured food are the main attractions of Xi'an.But tourists are less satisfied with crowding and waiting time.The future planning should focus on utilizing the huge flow of popular scenic spots,crowding management,and developing featured recreational activities such as night tours and performances.

关 键 词：网络文本数据 景点组团 旅游规划 游客感知 

分 类 号：F592[经济管理—旅游管理] TP391.1[经济管理—产业经济]