Research On The Spatial And Temporal Characteristics Of Tourists In Guilin Before And After COVID-19 Based On Big Data

Since the reform and opening up,as people improve their living standards and the rapid development of Internet information age,all kinds of emerging tourism platform gradually launched,passengers can from professional tourism network to obtain information,more and more passengers through online tourism platform for scenic spots information selection location,at the same time in the process or after the tour,in tourism network platform published their real travel notes,share their travel schedule,schedule,transportation and other information.After the COVID-19 outbreak,China’s tourism industry has been greatly affected.Therefore,it is meaningful to study the characteristics of passenger time and space before and after COVID-19.The maturity of the Internet and big data technology has created conditions for the study of the spatial-temporal characteristics of passengers.In this paper,taking Guilin city as the research object,and using big data technology,we collected 1264 effective tourism articles published on ctrip,Tongcheng,Hornet’s Nest,Qunar and other travel websites.In 1264 travel in real travel as the original research data,using the empirical research,mathematical statistics,the nearest index method and nuclear density estimation method and so on the new crown outbreak of Guilin passenger time and space characteristics,through the comparative analysis of the normal stage in 2019,the outbreak phase of 2020 and normalized in 2021 three stages of passenger time and space characteristics.Finally,the following conclusions are drawn:(1)COVID-19 has a great impact on the number of days of stay in Guilin.In 2019,2020 and2021,the average number of stay of passengers in Guilin was 3.31 days,3.45 days and 3.21 days respectively.In the past three years,the average number of stay of passengers in Guilin showed a trend of the first increase and then decline.Under the epidemic situation,short-term local peripheral tourism and long-term vacation tourism are very popular.(2)The outbreak of COVID-19 led to abnormal seasonal time characteristics of tourists in Guilin.In the normal stage of 2019 and the normal 2021 of the prevention and control stage,the slow season of Guilin tourism is winter,and summer and autumn are the peak season.The off-season for Guilin tourism is spring,and the peak season is summer and autumn.(3)COVID-19 has caused great fluctuations in the inter-annual and monthly number of visitors to Guangxi.It destroys the traditional space and temporal characteristics of Guilin passengers.That is,before the epidemic,traditional factors such as seasonal climate,holidays and tourism resources become the dominant to the epidemic fluctuations and the prevention and control situation play a decisive role.(4)after the outbreak of 2020 and 2021 than before the outbreak in 2019,Guilin tourists visiting scenic spots(attractions)is still mainly concentrated in the central city,yangshuo county,longsheng autonomous county,passenger visit frequency before 25 ranking,compared with the outbreak before 2019,2021 Guilin city center passenger access frequency proportion rise,and the decline of yangshuo.The frequency of passenger visits in Lingchuan has increased significantly compared with that before the epidemic.(5)Spatial distribution characteristics of passengers in the four seasons: Yangshuo County is in the fifth level of the visiting scenic spots classified by natural breakpoint method in the four seasons of three years.The number of passengers is the highest in Guilin,which is less affected by the seasons,but the passenger density is significantly smaller than that in the four seasons before the epidemic.Affected by the epidemic,the level of Longsheng ethnic autonomous counties has fluctuated between the third and fourth places.(6)Comparative analysis of the first passenger destination: The epidemic has a great impact on the first destination of the tourists in Guilin.In 2019,2020 and 2021,the proportion of the first passenger destination of Guilin,Yangshuo County and Longsheng Autonomous County decreased from 90.36% to 81.88%,and again to 78.51%.(7)Comparative analysis of tourism flow path characteristics: The spatial behavior characteristics of single-node tourism ranged from 12.21% in the normal stage in 2019,1 7.51%in 2020 in the outbreak stage,and 17.78% in 2021 in the normal prevention and control stage.The proportion of the number of single-node tourists continued to increase.In the past three years,Guilin Center and Yangshuo County have been the largest proportion of single node.(8)Comparative analysis of multi-node path characteristics of tourism flow: due to the severe impact of COVID-19,The number of passengers coming to Guangxi has dropped sharply,In 2019,2020 and 2021,the number of tourism flow paths was 647,212 and 222,respectively;Post-outbreak 2020 and 2021 compared with pre-outbreak 2019,The number of passengers coming to Guangxi has dropped sharply,The number of tourism nodes and tourism paths decreases and the density becomes smaller,A decrease in interregional associations;After the outbreak of 2020 and 2021,Longsheng Ethnic Autonomous County and the downtown city of Guilin,The Lijiang River Scenic Area,Yangshuo County has formed between the four places of Guilin city tourism flow path channel is more prominent than before the epidemic;The number of lines between Xing’an County and Gongcheng Yao Autonomous County and the corridor is decreasing year by year.