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Study On The Regional Spatial Pattern And Optimization Of Car Rental Tourism Flow

Posted on:2020-07-13Degree:MasterType:Thesis
Country:ChinaCandidate:F LiFull Text:PDF
GTID:2439330578979700Subject:Tourism Management
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With the rapid development of social economy and automobile service industry,car rental has gradually become an important transportation choice.Car rental tourism has the important value of sharing vehicle resources,developing shared economy and saving social resources.At present,the timeliness of mass transit is constantly improving.the travel time of tourists outside the destination is shortened,and the importance of "the last kilometer" is highlighted.The travel combination of "big traffic+small traffice has become an important form of building a comprehensive transportation system.The mode of "mass transit+car rental" tourism can meet tourists' efficient and flexible travel needs.In this context,this paper takes Yunnan Province as a case study,draws on the relevant theories of tourism,transportation,geography and planning,uses Arcgis and Ucinet data analysis software,as well as PS and Corelldraw mapping software,studies the tourist market,spatial behavior and network characteristics of car rental tourism flow in Yunnan Province,and puts forward the optimization strategy of regional tourism space under the influence of car rental tourism flow.The study found that:(1)Population attribute and travel organization characteristics of tourist source market:Compared with the private car travel market in Yunnan,tourists are mainly young and middle-aged,and family travel is the main form of companionship.The difference is that the travel time of car rental tourists in Yunnan is longer.More than half of the people revisit.Touristy travel thrust factors include not only the general thrust factors of general tourists,but also the special thrust factors of entering Yunnan tourism.They are mainly "local emotion" and"realizing tourism aspirations to Yunnan".Travel pull factor reflects the important role of Yunnan tourism resources,transportation,overall image and natural climate under special geographical location.(2)Spatial and temporal distribution characteristics of passenger source market:Tobxristsf travel time choice is no longer limited to national statutory holidays,preferring to travel before and after the holidays,and the choice of golden week period is greater than the short and long holidays.There are three peaks and three valleys in the monthly distribution of tourists.The travel time distribution is influenced by soeial seasonal factors and natural seasonal factors.The spatial distribution of the tourist market is characterized by centralization and non-equilibrium.The tourist sources mainly come from the economically developed eastern coastal provinces and the adjacent provinces of Yunnan Province.The attraction radius of passenger source is 1948.29 km.The space use curve has the characteristics of multiple fluctuations in segments,and does not show obvious distance attenuation law.(3)Tourist destination visiting rate and tourism intensity characteristics:Yunnan ear rental tourists have a strong preference for destination choice,which mainly produces 23 tourist destinations.The highest and second-highest visiting rate cities show a "S"distribution in the direction of "Northwest Yunnan-Southeast Yunnan".Kunming has the highest rate of visitors,but the intensity of tourists is low.Many tourists only use Kunming as a transit point.Most of the eities in Yunnan have a single type of destination.Except Kunming,other cities are mainly middle-way destinations.Kunming is mainly a hub destination.Besides Kunming,single and hub destination tourists have the highest intensity of tourism.(4)The types of car rental are mainly divided into three types:whole-journey car rental,large-scale transportation+single-site car rental and large-scale transportation+multi-site car rental.Among them,the "whole-journey car rental" type occupies the mainstream,while other types make the overall travel combination of tourists into the "Big traffic to Yunnan+ Big traffic in Yunnan+car rental" mode.Among the different types of car rental,renting and rehuning cars to the same city is a priority for tourists.In different regions of Yunnan,tourists' preferred car rental methods are different.Rental and return points in cities are mainly located near transportation hubs connected with the outside world.Among the car rental points in the same city,airport car rental points are the most popular.Among different city rental points,airport rental and return points in different cities are most closely linked.(5)Spatial behavior model and tourism flow network characteristics:There are 8 types of travel routes for car rental tourists in Ylnnan,roundtrip routes have the most number of routes.The second is the regional tour and the complete tour.Roundtrip tourism routes have the highest coincidence rate,mainly in the "central Yunnan+northwest Yunnan" region.Overall,the number of tourist routes with 2,3 and 4 destinations is the largest.In the network of urban nodes,Kunming,Dali and Lijiang are the core and distribution centers of Yunnan tourism.In the node network of tourist areas,the ancient cities of Lijiang,Cangshan Erhai and Dali are the core and distribution centers of tourism.There are spatial differences in the visiting rate and intensity of Yunnan destination,the city and route of tourist car rental section,the function status of urban node and tourist area node.The main reasons for the formation of spatial differences are:Yunnan traffic location,high endowment and characteristics of tourism resoiurces and preference for car rental behavior.(6)According to the network structure of urban nodes and the use of large-scale t:ransportation in Yunnan,16 tourist destination systems of different levels of tourism development points,tourism development axes and four levels are determined,and different levels of tourism plates and quadrilateral car-rental tourism belts are constructed.
Keywords/Search Tags:car rental, tourism flow, spatial behavior, network structure, spatial optimization, Yunnan Province
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