| "Sports" and "tourism" are the products of human society to a certain extent,The two show a high degree of unification in terms of entertainment and restrictive conditions,The "participation" and "appreciation" of sports activities are the necessary conditions for the production and development of higher-level tourism activities.With the structural adjustment of holidays and the continuous improvement of percapita disposable income,People's needs for travel are constantly changing,types of tourism is increasing,The strong "tacit understanding" between "sports" and "tourism" makes the two gradually merge and flourish,Watching,Participating,and Experiencing as a whole a spectator tour was created.China Open is the highest level and largest men's and women's tennis match in China and even in Asia.At the beginning of the competition,it became an important engine for the development and expansion of China's sports tourism.There is strong typicality and representativeness in tourism research.In recent years,Growing group of visitors to the National Tennis Center.In sports tourism research,less attention is paid to the behavioral subject of tourism——people,So,Research on this group has become an urgent issue.Based on,The article intends to study the characteristics of the spatiotemporal behavior of tourists in the 2019 Chinese Tennis Tournament,This article takes the visitors of the 2019 China Tennis Open as the research object,Combining quantitative analysis with qualitative research,Using GIS spatial analysis,Distance Usage Curve,Tourist Concentration Coefficient,and Market Concentration to Describe the Spatial Distribution characteristics of tourists in the 2019 China Open;At the same time,mathematical statistics and GIS software were used to analyze the time behavior characteristics and spatial behavior characteristics of tourists in the 2019 China Open;Further analysis results in the spatiotemporal behavior pattern of tourists watching the 2019 Chinese Open;Finally,the opinions and suggestions on the sustainable development and healthy operation of the China Open are discussed based on the above research results.The main research contents and results are as follows:(1)Based on primary data from the questionnaire,Descriptive statistics of the demographic and travel characteristics of tourists watching the 2019 China Open withSPSS,Statistical discovery:Gender differences among tourists watching the 2019 China Open,Watching tourists generally have higher income,Age group is mainly 20-30 years old,the level of academic qualifications of tourists watching the race is relatively high;In terms of travel characteristics,The high-speed rail is the main means of transportation for tourists to reach destinations,Urban rail transit has become the preferred transportation tool for connecting nodes in Beijing.At the same time,the analysis shows that the motivation of the tourists is not unique,and the revisit rate is high.Using GIS to map the spatial distribution of visitors in the 2019 China Open,It was found that except Ningxia,Tibet,Taiwan,Hong Kong,and Macao,there were customers throughout the country;The neighboring provinces of Hebei,Liaoning,Shanxi,Henan,Shaanxi,and Shandong are the main source of tourists,but there are also more tourists from Shanghai and Guangdong;The study found,Contains 49%of samples within a 1090 KMradius,this radius is the main source of tourists for the China Open.Based on the sample,drawing the tourist space usage curve of the 2019 China Open,It was found that there were tourists watching within a radius of 2417 KM;1734 KM is considered as the gravitational field radius of the 2019 ChinaOpen.The tourist concentration coefficient of tourists watching the 2019 China Open is 183.9133,and the market concentration ratio is 0.3467.(2)Based on the time travel and space travel data of tourists watching the 2019 China open.Firstly,a map of the number of tourists entering and exiting the National Tennis Center to watch the game was drawn,showing that 10 points is the peak of admission.At 14-15 o'clock,the two curves intersect,the number of tourists in the park is the largest.20-22 o'clock is the highest peak of the park,and there are still tourists leaving in the early morning.Secondly,a rose chart of the travel time of the viewing tourists is drawn,indicating that 5 days is the travel time of most viewing tourists.At the same time,most of the viewing time at the National Tennis Center is less than 5 days.The third research was made on accommodation places,visited attractions,and node trajectories,Discover Lincuiqiao as the preferred accommodation for tourists,Most accommodations are located at rail transit stations or junctions,The overall location of the accommodation is a "single-center","anti-comma";On the popularity of visiting attractions,National Tennis Centerhas the highest visit rate,Followed by the Forbidden City and Tiananmen;By studying its node trajectory,it is found that the National Tennis Center is the starting node for the tourists,and the trajectory is mainly arranged along the central axis of Beijing.(3)Time and Space Behavior Model of Tourists in the 2019 China Open.Based on the research results of predecessors at home and abroad,the characteristics of the spatiotemporal behavior of tourists in the 2019 China Open,and the particularity of the Chinese Open,the patterns of spatiotemporal behavior of tourists in the Open are summarized.It was found that the behavior pattern in the second to middle time was"5-5-4";The short-term behavior patterns are "day in-day out" and "day in-day out".Large-scale spatial behavior is characterized by "gathering-Beij ing-diffusion";Mesoscale spatial behavior patterns include three types:"single purpose","on the way"and "base camp";The small-scale spatial behavior pattern is "on the way".The main innovation of this article is to introduce the theory of time geography and tourism geography into the research of sports tourism,Expanded the perspective of sports tourism research;Attempt to Participate in Observing Tourists' Spatial Behavior Model,At the same time,it summarizes the time behavior pattern of watching tourism. |
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