ANALYSIS ON CHANGE OF THE DOMESTIC TOURISM ATTENTION PATTERN AND INFLUENCING PATHS DURING COVID-19'S EPIDEMIC SITUATION
XUE Chen-lu1, JIN Cheng1,2, XU Jing3
1. School of Geography, Nanjing Normal University, Nanjing 210023, China; 2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China; 3. Tourism and Social Administration College, Nanjing Xiaozhuang University, Nanjing 211171, China
Abstract:Since the outbreak of Corona Virus Disease 2019 (COVID-19), the tourism industry has been struck. Under the coexistence situation with COVID-19 epidemic, how to restore and develop tourism is an important research topic. Based on the Baidu search index in the second quarter of each year from 2019 to 2021, this paper constructs the domestic tourism attention matrices in three stages: Situation before the epidemic, situation when epidemic was preliminary controlled, situation when epidemic prevention was normalized. The spatial analysis and social network analysis methods were used to explore the changes of tourism attention pattern before and during the epidemic, and the influencing paths of COVID-19 epidemic on tourism attention were analyzed based on tourism gravity model. The results showed that: After the outbreak of the epidemic, 1) The scale of tourism attention decreased significantly, and the tendency of long-distance and inter-provincial mobility decreased. As implementing regular epidemic prevention and control measures, the scale has rebounded. 2) The connection density of tourism attention matrix decreased greatly, and the regional clustering was enhanced. The sources of tourists concentrate in the eastern region, the centrality changes less; the destinations are mainly in the western region, the centrality decline more. 3) The epidemic situation of COVID-19 acts on the basic unit of the tourism attention network pattern through two paths: Security factors and social-economic factors.
薛晨璐, 靳诚, 徐菁. 新冠疫情时期国内旅游网络关注格局变化与影响路径分析[J]. 人文地理, 2023, 38(6): 182-190.
XUE Chen-lu, JIN Cheng, XU Jing. ANALYSIS ON CHANGE OF THE DOMESTIC TOURISM ATTENTION PATTERN AND INFLUENCING PATHS DURING COVID-19'S EPIDEMIC SITUATION. HUMAN GEOGRAPHY, 2023, 38(6): 182-190.
裘援平.新冠肺炎疫情下国际形势的变与不变[J].世界社会主义研究,2020(7):8-9.[Qiu Yuanping. The change and constancy of the international situation under the COVID-19 Epidemic[J]. World Socialism Studies, 2020(7):8-9.]
[2]
李九全,李开宇,张艳芳.旅游危机事件与旅游业危机管理[J].人文地理,2003,18(6):35-39.[Li Jiuquan, Li Kaiyu, Zhang Yanfang. Crisis accidents and it's management in tourism[J]. Human Geography, 2003,18(6):35-39.]
[3]
Duan J, Xie C, Morrison A M. Tourism crises and impacts on destinations:A systematic review of the tourism and hospitality literature[J]. Journal of Hospitality&Tourism Research, 2021,46(4):667-695.
[4]
王少华,王璐,王梦茵,等.新冠肺炎疫情对河南省旅游业的冲击表征及影响机理研究[J].地域研究与开发,2020,39(2):1-7.[Wang Shaohua, Wang Lu, Wang Mengyin, et al. Study on impact characterization and influence mechanism of novel coronavirus pneumonia on tourism industry in Henan province[J]. Areal Research and Development, 2020,39(2):1-7.]
[5]
Rastegar R, Seyfi S, Rasoolimanesh S M. How COVID-19 case fatality rates have shaped perceptions and travel intention?[J]. Journal of Hospitality and Tourism Management, 2021,47:353-364.
[6]
Rasoolimanesh S M, Seyfi S, Rastegar R, et al. Destination image during the COVID-19 pandemic and future travel behavior:The moderating role of past experience[J]. Journal of Destination Marketing&Management, 2021,21. https://doi.org/10.1016/j.jdmm.2021.100620.
[7]
夏杰长,丰晓旭.新冠肺炎疫情对旅游业的冲击与对策[J].中国流通经济,2020,34(3):3-10.[Xia Jiechang, Feng Xiaoxu. The impact of novel coronavirus outbreaks on tourism industry and the countermeasures[J]. China Business and Market, 2020,34(3):3-10.]
[8]
李默涵,陈钢华.与新冠肺炎疫情相关的旅游研究进展及学术贡献——基于10本英文期刊载文的分析[J].旅游学刊,2023,38(3):136-146.[Li Mohan, Chen Ganghua. Assessing research on the COVID-19 pandemic and tourism published in English-language journals:Research progress and academic contributions[J]. Tourism Tribune, 2023,38(3):136-146.]
[9]
Casado-Aranda L, Sánchez-fernández J, Bastidas-manzano A. Tourism research after the COVID-19 outbreak insight for more sustainable, local and smart cities[J]. Sustainable Cities and Society, 2021. https://doi.org/10.1016/j.scs.2021.103126.
[10]
Williams C C. Impacts of the coronavirus pandemic on Europe's tourism industry:Addressing tourism enterprises and workers in the undeclare economy[J]. International of Tourism Research, 2020. https://doi.org/10.1002/jtr.2395.
[11]
Sharma A, Nicolau J L. An open market valuation of the effects of COVID-19 on the travel and tourism industry[J]. Annals of Tourism Research, 2020,83. https://doi.org/10.1016/j.annals.2020.102990.
[12]
Chen X, Xia E, He T. Influence of traveller risk perception on the willingness to travel in a major epidemic[J]. International Journal of Sustainable Development and Planning, 2020,15:901-909.
[13]
Ivanova M, Ivanov I K, Ivanov S. Travel behaviour after the pandemic:The case of Bulgaria[J]. Anatolia, 2021,32(1):1-11.
[14]
唐顺铁,郭来喜.旅游流体系研究[J].旅游学刊,1998,3:38-41.[Tang Shuntie, Guo Laixi. Research on tourism flow system[J]. Tourism Tribune, 1998,3:38-41.]
[15]
刘法建,张捷,陈冬冬.中国入境旅游流网络结构特征及动因研究[J].地理学报,2010,65(8):1013-1024.[Liu Fajian, Zhang Jie, Chen Dongdong. The characteristics and dynamical factors of Chinese inbound tourist flow network[J]. Acta Geographica Sinica, 2010, 65(8):1013-1024.]
[16]
闫闪闪,靳诚.旅游流研究进展与启示[J].资源开发与市场,2020, 36(2):193-200.[Yan Shanshan, Jin Cheng. Research progress and enlightenment of tourist flow[J]. Resource Development&Market, 2020,36(2):193-200.]
[17]
Shih H. Network characteritics of drive tourism destination:An application of network analysis in tourism[J]. Tourism Management, 2006,27(5):1029-1039.
[18]
Hwang Y, Gretzel U, Fesenmaier D R. Multicity trip patterns:Tourists to the united states[J]. Annals of Tourism Research, 2006,33(4):1057-1078.
[19]
马耀峰,李永军.中国入境后旅游流的空间分布研究[J].人文地理, 2001,16(6):44-46,35.[Ma Yaofeng, Li Yongjun. Research on spatial region-division of inbound tourist flow in China[J]. Human Geography, 2001,16(6):44-46,35.]
[20]
杨兴柱,顾朝林,王群.南京市旅游流网络结构构建[J].地理学报, 2007,62(6):609-620.[Yang Xingzhu, Gu Chaolin, Wang Qun. Urban tourism flow network structure construction in Nanjing[J]. Acta Geographica Sinica, 2007,62(6):609-620.]
[21]
吴晋峰,潘旭莉.京沪入境旅游流网络结构特征分析[J].地理科学, 2010,30(3):370-376.[Wu Jinfeng, Pan Xuli. Characteristic of Beijing and Shanghai inbound tourists flow network[J]. Scientia Geographica Sinica, 2010,30(3):370-376.]
[22]
张妍妍,李君轶,杨敏.基于旅游数字足迹的西安旅游流网络结构研究[J].人文地理,2014,29(4):111-118.[Zhang Yanyan, Li Junyi, Yang Min. The tourism flow network structure of Xi'an based on tourism digital footprint[J]. Human Geography, 2014,29(4):111-118.]
[23]
方叶林,黄震方,李经龙,等.中国市域旅游流网络结构空间分异及其效应研究——基于携程旅行网的大数据挖掘[J].自然资源学报,2022,37(1):70-82.[Fang Yelin, Huang Zhenfang, Li Jinglong, et al. Research on the spatial differentiation and effects of network structure in tourism flow in Chinese cities:Big data mining based on Ctrip[J]. Journal of Natural Resources, 2022,37(1):70-82.]
[24]
石建中,范齐.亚太经合组织旅游流网络结构演化及影响因素[J].自然资源学报,2022,37(8):2169-2180.[Shi Jianzhong, Fan Qi. The evolution and influencing factors of APEC tourism flow network structure[J]. Journal of Natural Resources, 2022,37(8):2169-2180.]
[25]
李山,邱荣旭,陈玲.基于百度指数的旅游景区络空间关注度:时间分布及其前兆效应[J].地理与地理信息科学,2008,24(6):102-107.[Li Shan, Qiu Rongxiu, Chen Ling. Cyberspace attention of tourist attractions based on Baidu index:Temporal distribution and precursor effect[J]. Geography and Geo-Information Science, 2008,24(6):102-107.]
[26]
Jeon C, Yang H. The structural changes of local tourism network:Comparison of before and after COVID-19[J]. Current Issues in Tourism, 2021,24(23):3324-3338.
[27]
任浩科,魏伟,汪克会.新冠疫情影响下宁夏旅游流网络结构演化研究[J].干旱区地理,2022,46(2):316-324.[Ren Haoke, Wei Wei, Wang Kehui. Study on the structural evolution of tourism flow network in Ningxia under the influence of the COVID-19[J]. Arid Land Geography, 2022,46(2):316-324.]
[28]
徐菁,靳诚.中国省域间旅游关注网络格局及其影响因素空间异质性分析[J].旅游学刊,2020,35(6):14-24.[Xu Jing, Jin Cheng. Analysis of network patterns and spatial heterogeneity of influencing factors of inter-provincial tourism attention in China[J]. Tourism Tribune, 2020,35(6):14-24.]
[29]
杜家禛,靳诚,徐菁,等.长江三角洲虚拟旅游流空间格局及其影响因素分析[J].南京师大学报(自然科学版),2021,44(2):48-54.[Du Jiazhen, Jin Cheng, Xu Jing, et al. The spatial pattern of virtual tourism flow and its influencing factors in Yangtze River Delta[J]. Journal of Nanjing Normal University:Natural Science Edition, 2021,44(2):48-54.]
[30]
吴晋峰,段骅.旅游系统与旅游规划[J].人文地理,2001,16(5):62-65.[Wu Jinfeng, Duan Hua. Tourism system and tourism Planning[J]. Human Geography, 2001,16(5):62-65.]
[31]
保继刚.引力模型在游客预测中的应用[J].中山大学学报(自然科学版),1992,31(4):133-136.[Bao Jigang. An application of gravity model in tourist forecasting[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 1992,31(4):133-136.]
[32]
王兴琼.游客安全感知对其目的地选择的影响研究述评[J].旅游论坛,2009,2(4):485-489,508.[Wang Xingqiong. Review on the effect of traveler's perception of safety on destination choosing[J]. Tourism Forum, 2009,2(4):485-489,508.]
[33]
吴必虎,王晓,李咪咪.中国大学生对旅游安全的感知评价研究[J].桂林旅游高等专科学校学报,2001,12(3):62-68.[Wu Bihu, Wang Xiao, Li Mimi. A study on perceptive evaluation of Chinese undergraduates on travel safety[J]. Journal of Guilin Institute of Tourism, 2001,12(3):62-68.]
[34]
刘逸,孟令坤,曹轶涵,等.扩散性危机影响下公众心理韧性空间特征初探[J].地理科学,2020,40(11):1763-1773.[Liu Yi, Meng Lingkun, Cao Yihan, et al. Exploring the characters of public psychological resilience under diffusive crisis[J]. Scientia Geographica Sinica, 2020,40(11):1763-1773.]