城市间旅游线路信息测度及其流空间特征——基于2019—2021年在线平台大数据  

Measurement of Tourist Route Information Between Cities and Its Flow Space Characteristics:Based on Big Data of the Online Travel Platforms from 2019 to 2021

作　　者：黄松[1] 李燕林[2] 王梦飞 HUANG Song;LI Yanlin;WANG Mengfei(College of Social Culture and Tourism,Guangxi Normal University,Guiling 54100l,Guangxi,China;College of Vocation-Technical Teachers,Guangxi Normal University,Guiling 541004,Guangxi,China)

机构地区：[1]广西师范大学历史文化与旅游学院,广西桂林541001 [2]广西师范大学职业技术师范学院,广西桂林541004

出　　处：《经济地理》2022年第11期204-215,共12页Economic Geography

基　　金：国家自然科学基金项目(41361019);广西自然科学基金项目(2021JJA150104);广西人文社会科学发展研究中心“科学研究工程·新农村发展研究专项项目”(XNC2019002)。

摘　　要：基于2019—2021年在线平台截面数据,文章对珠江—西江经济带城市间旅游线路信息及其流空间特征进行全面测度和动态分析。结果表明:(1)新冠肺炎疫情前(2019年)和新冠肺炎疫情期间(2020、2021年),省会城市之间、省会城市与非省会城市之间旅游线路信息流向与流量特征的差异十分明显,新冠肺炎疫情期间则基本一致。新冠肺炎疫情之前与新冠肺炎疫情期间各城市聚集总量的变化相对较小,排序靠前的城市均在广州、南宁、崇左、百色、佛山中产生,但输出总量排序的变化相对较大。(2)2019—2021年广州的旅游线路信息规模持续独占第1梯队;南宁在2019年居第3梯队,2020、2021年上升至第2梯队。反映新冠肺炎疫情等因素的影响导致旅游线路信息一定程度向省会城市聚集。崇左、百色在2019年居第2梯队,但在2020、2021年规模持续缩小,反映特色旅游资源城市的旅游线路信息规模对疫情等因素敏感。(3)2019—2021年第1、2、3大旅游线路信息优势流呈现的主从关系特征,均对疫情作出反应。尽管新冠肺炎疫情等因素一定程度打乱了2019年形成的旅游线路信息主导型城市、次级主导型城市(包括次级主导聚集型和发散型城市)、从属型城市的完整主从关系序列,但由三大旅游线路信息优势流所呈现出的主从关系特征的总体态势仍然得以不同程度的延续。The information on tourism routes between cities provided by major online travel platforms has a clear direction,providing a key to explore the"flow direction"problem that is difficult to grasp in the current research on tourism information flow.Based on the big data of the online platforms in 2019-2021,this paper measure the inter-city tourism route information and its flow space characteristics in the Pearl River-West River Economic Belt.The results show that:1)In 2019(before the COVID-19 Pandemic)and 2020-2021(during the COVID-19 Pandemic),there are great on the direction and quantity of flow of tourist route information between provincial capitals and between provincial capitals and non-provincial capitals,but they are basically the same during the COVID-19 Pandemic.Before and during the COVID-19 Pandemic,the changes in the total amount of aggregation in each city are relatively small,the top-ranked cities are all produced in Guangzhou,Nanning,Chongzuo,Baise,and Foshan,but the change in the total output ranking is comparatively large.2)From 2019 to 2021,tourism route information scale in Guangzhou continues to occupy the first echelon,Nanning belongs to the third echelon in 2019 and the second echelon in 2020 and 2021.Reflecting the impact of the COVID-19 Pandemic and other factors,tourism route information has been gathered for the provincial capital cities to a certain extent.Chongzuo and Baise rank the second echelon in 2019,but their scale continues to shrink in 2020 and2021,reflecting the sensitivity of the scale of tourism route information in cities with distinctive tourism resources to factors such as the COVID-19 Pandemic.3)The first,second and third dominant tourist route information flows present the characteristics of the master-slave relationship from 2019 to 2021.Although the COVID-19 Pandemic and other factors have disrupted the complete master-slave relationship sequence of tourism route information-led cities,subdominant cities(including sub-dominant agglomeration and divergent cities),and su

关 键 词：旅游线路信息 流空间特征 在线旅游平台 旅游信息流 新冠肺炎疫情 珠江—西江经济带 

分 类 号：F592[经济管理—旅游管理]