| In order to meet the new demand of mass tourism for transportation in Yunnan Province,to solve the bottleneck restriction of tourism and the difficult points of tourists' travel,we should strive to build a tourism transportation system with reasonable structure,perfect function,special features and excellent service under the new situation of the present era to promote the deep integration of transportation industry and tourism industry,to make these two industries promote each other and transform together.This article was studied from the perspective of the influence of evolution of tourism transport corridor on the spatial field effect of tourism flow;to construct a systematic evaluation system of the spatial field effect of tourism flows and its influencing factors based on the analysis of the structural characteristics of the spatial network of tourism flows in Yunnan Province,and then to extract the spatial field effect of tourism flows in typical tourism transport corridor of Yunnan Province from the perspective of the evolution of the spatial and temporal structure of tourism flows,to further analyze the response mechanism of spatial and temporal dynamic evolution of tourism flow from the perspective of tourism traffic and tourism destination's development level.This article mainly carries on the related research from the following five aspects:(1)The characteristics of nodes in the tourism flow spatial network are analyzed by using the social network analysis method,and on the other hand,using the index of tourism destination value,proximity centrality and clustering coefficient.The proximity centrality value of Diqing is the largest,it is 0.502591,and its clustering coefficient is 0.411828.Kunming,Lijiang,Diqing and other tourist destinations,they have strong ability of diffusion and polarization effect,and then they produce obvious "siphon effect" on other tourist destinations,which makes the agglomeration and dispersion effect of tourism nodes in the whole province present typical "concentration-divergence" characteristics.On the other hand,the average degree of the provincial tourism flow network is 10.628,the map density is 0.074,and the average path length is 2.816.The overall pattern of tourism flows radiated from Kunming,Dali and Lijiang to other tourist destinations has formed;the tourism flows in the whole province are concentrated in Kunming,Dali,Lijiang,Diqing,Chuxiong and other tourist destinations;the longest fluids in the province occur on the "Kunming-Dali-Lijiang-Shangri-La" tourism routes,which is 17 days.(2)The evaluation index system of spatial field effect of tourism flow is established by systematically analyze the spatial field effect system of tourism flow.Then,the basic elements and influencing factors of tourism flow space-field effect are revealed by analyzing the structure of tourist tropicallayer of the spatialfield effect of tourist flow and the spatial-temporal evolution rule of tourism tlow,to further establish the index system of measuring influencing factors of tourism flow space-field effect.(3)The spatial model of Yunnan tourist transport corridor and the typical tourist transport corridor is Kunming-Dali-Lijiang-Diqing,which is obtained based on the travel choice of tourist transport corridor and the analysis of tourists' preference and concentration degree for the choice of tourist routes.Then it identifies the evolution and classification of tourism transport corridors from three aspects: transport capacity,technical equipment level and service level.It analyses the evolution process of typical tourism transport corridors in Yunnan Province(Kunming-Dali-Lijiang-Diqing)by data collection and collation.(4)The spatial and temporal change characteristics of tourism flow in typical tourism transport corridors in Yunnan Province are obtained through the annual change index and the transfer state index of tourism flow.Among them,the annual change index of tourism flow shows an upward trend as a whole,With the gradual maturation of the travel chain in the transport corridor,the detailed change degree of tourism flow can be divided into four stages.The first stage is from 2000 to 2004,the annual change index of transport corridor tourism flow is small,it's from 0.012 to 0.014;the second stage is from 2005 to 2008,the tourism flow index range of transport corridor is from 0.019 to 0.729;the third stage is from 2009 to 2015,the tourism flow index range of transport corridor is from 0.848 to 2.254;the fourth stage is from 2016 to 2017,and the tourism flow index range of transport corridor is from 2.994 to 3.73.9.At the same time,according to the analysis of the characteristics of agglomeration and diffusion of tourism flow spatial transfer,we can know the higher agglomeration index ranks as Lijiang(66.693),Dali(40.935),Diqing(27.909)and Kunming(23.890),which is the second passenger source places after entering the transport corridor;the higher diffusion index ranks as Kunming(63.467),Dali(38.550),Lijiang(36.392),which is the second destination of tourism flow's diffusion and transfer in transport corridor.(5)Firstly,this paper reveals that there is a significant correlation between the level of tourism traffic development and the influence factors of tourism destination development level and the spatial field effect of tourism flow based on Carl Pearson's correlation coefficient theory,via the Matlab tool,and then to further concludes that tourism traffic is an important factor affecting the spatial field effect relationship of tourism flow,and tourism destination is the core factor affecting the spatial field intensity distribution of tourism flow. |
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