Xiaohang Li, Tong Yang, Bin Meng, Siyu Chen, Shuying Zhang
{"title":"基于用户生成内容数据的北京游客行为模式与感知分析","authors":"Xiaohang Li, Tong Yang, Bin Meng, Siyu Chen, Shuying Zhang","doi":"10.1007/s12061-025-09712-z","DOIUrl":null,"url":null,"abstract":"<div><p>Understanding tourist behavioral patterns and perceptual preferences is crucial for effective destination management and sustainable tourism development. This study proposes an analytical framework integrating spatial, temporal, and semantic information to analyze tourist behavior patterns and perceptual preferences using user-generated content (UGC) data from Sina Weibo, with Beijing as a case study. The results reveal that 54 tourist hotspots were identified using the ST-DBSCAN clustering method, uncovering spatial distribution characteristics where tourism attractions are concentrated in the central city area and dispersed in suburban areas. Five types of tourist travel path patterns were recognized, with seasonal fluctuations influenced by the interaction of holiday duration and climatic conditions. Tourist visitation volumes also exhibited significant seasonal variations, peaking in summer and autumn while declining in winter due to cold weather conditions. Semantic analysis results indicate that changes in high-frequency words reveal differences in the temporal variation of attraction appeal across different types of tourist attractions. BERTopic modeling extracted five major themes and 37 subtopics, reflecting the diversity of tourist preferences. This study provides scientific guidance for tourism destination management in Beijing and validates the proposed framework’s applicability in problem identification and decision support.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Tourist Behavior Patterns and Perceptions in Beijing Based on User-Generated Content Data\",\"authors\":\"Xiaohang Li, Tong Yang, Bin Meng, Siyu Chen, Shuying Zhang\",\"doi\":\"10.1007/s12061-025-09712-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Understanding tourist behavioral patterns and perceptual preferences is crucial for effective destination management and sustainable tourism development. This study proposes an analytical framework integrating spatial, temporal, and semantic information to analyze tourist behavior patterns and perceptual preferences using user-generated content (UGC) data from Sina Weibo, with Beijing as a case study. The results reveal that 54 tourist hotspots were identified using the ST-DBSCAN clustering method, uncovering spatial distribution characteristics where tourism attractions are concentrated in the central city area and dispersed in suburban areas. Five types of tourist travel path patterns were recognized, with seasonal fluctuations influenced by the interaction of holiday duration and climatic conditions. Tourist visitation volumes also exhibited significant seasonal variations, peaking in summer and autumn while declining in winter due to cold weather conditions. Semantic analysis results indicate that changes in high-frequency words reveal differences in the temporal variation of attraction appeal across different types of tourist attractions. BERTopic modeling extracted five major themes and 37 subtopics, reflecting the diversity of tourist preferences. This study provides scientific guidance for tourism destination management in Beijing and validates the proposed framework’s applicability in problem identification and decision support.</p></div>\",\"PeriodicalId\":46392,\"journal\":{\"name\":\"Applied Spatial Analysis and Policy\",\"volume\":\"18 3\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Spatial Analysis and Policy\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12061-025-09712-z\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-025-09712-z","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Analysis of Tourist Behavior Patterns and Perceptions in Beijing Based on User-Generated Content Data
Understanding tourist behavioral patterns and perceptual preferences is crucial for effective destination management and sustainable tourism development. This study proposes an analytical framework integrating spatial, temporal, and semantic information to analyze tourist behavior patterns and perceptual preferences using user-generated content (UGC) data from Sina Weibo, with Beijing as a case study. The results reveal that 54 tourist hotspots were identified using the ST-DBSCAN clustering method, uncovering spatial distribution characteristics where tourism attractions are concentrated in the central city area and dispersed in suburban areas. Five types of tourist travel path patterns were recognized, with seasonal fluctuations influenced by the interaction of holiday duration and climatic conditions. Tourist visitation volumes also exhibited significant seasonal variations, peaking in summer and autumn while declining in winter due to cold weather conditions. Semantic analysis results indicate that changes in high-frequency words reveal differences in the temporal variation of attraction appeal across different types of tourist attractions. BERTopic modeling extracted five major themes and 37 subtopics, reflecting the diversity of tourist preferences. This study provides scientific guidance for tourism destination management in Beijing and validates the proposed framework’s applicability in problem identification and decision support.
期刊介绍：
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
