Research On The Temporal And Spatial Variation Characteristics And Influencing Factors Of Self-Driving Tourists Flows In Xinjiang

With the improvement of China's economic development level and the consumption living standards of residents,China has gradually developed into a leisure and holiday travel mode.Self-driving tourism has become a new development mode of tourism and has gradually become the first choice for urban residents daily leisure.Self-driving tour has been flourishing but still subject to many factors.This article takes Xinjiang self-driving tourist flow as the research object,and uses the online travel text to pick up the geographical location information and analyze the spatial distribution of self-driving tourists through ArcGIS software to study the self-driving tourists flow in Xinjiang.The spatial and temporal distribution characteristics,using ROST-CM to analyze and interpret the collated network texts,analyze the influencing factors of Xinjiang self-driving tour development,and at the same time,the overall layout,times and spaces optimization,market positioning and marketing promotion of Xinjiang self-driving tour development.Both have important practical significance.The following conclusions were obtained through this study.In times,through the use of seasonal index and travel peak index to study the characteristics of Xinjiang self-driving tourists,it is found that Xinjiang self-driving tourists have a high concentration of outflows,which is obviously concentrated in summer and autumn,especially in July,August and September in summer.In the eleventh golden week,there was a clear peak of travel.In the whole year,the number of self-driving tourists flows is the least in winter,and the flow of self-driving tourists in spring is concentrated in May.In spaces,most of the self-driving tourists source markets come from economically developed regions.Beijing,Guangzhou,Shenzhen and Shanghai are important self-driving tourists in Xinjiang,followed by the more developed cities in the eastern coastal and central regions.The proportion of self-driving tourists in the province is not high,which is related to the high consumption level of self-driving tour.The potential of Xinjiang local source market needs to be tapped.The spatial distribution of self-driving tourists in Xinjiang is wide,but the distribution of north-south Xinjiang is obvious.The self-driving tourists flow mainly around Xinjiang's high-quality tourist attractions.The core role of tourism nodes is more prominent.The spatial distribution density of self-driving tourists is extremely uneven.The cluster effect is higherthan that of the southern Xinjiang region,and the core scenic area has strong action.The node trajectories in southern Xinjiang are mainly concentrated in Kashgar,Korla,Kuqa and other places.The eastern Xinjiang region is dominated by Hami City,and the trajectory of self-driving tourists is mostly concentrated in northern Xinjiang.Influencing factors,through network semantic analysis,it is found that the general attribute characteristics,travel motivation,leisure time and other factors of self-driving tourists will have an impact on the choice of scenic spots.The difference tourism resources in Xinjiang,whether it can achieve self-driving,traffic road infrastructure,the support of construction and self-driving tour policies will inevitably affect the development of self-driving tourism in Xinjiang.Based on the above analysis results,it is proposed to optimize the development of self-driving tourism in Xinjiang,that is,to reduce the degree of difference in the off-season and high season,optimize the spatial layout of products,segment and locate the market,and accurately market;increase the construction of transportation infrastructure,improve the support system;and strengthen cooperation in Xinjiang.Promote the collaborative capabilities of the surrounding provinces and cities to raise the sustainable and healthy development of self-driving tourism in Xinjiang.