| With the rapid development of Internet and other technologies,the world has entered the era of big data,and the “network society” has risen.The Internet has been widely used in the construction and development of tourism enterprises and tourist destinations.Tourism activities extend from geographic space to network space,and the tourism industry has become increasingly informative at the same time of transformation,the local space gradually transformed into a fluid space.The Yellow River Basin is of great significance to my country’s economy and ecology,and the“High Quality and Ecological Protection of the Yellow River Basin” has risen to the national strategy.This research is based on the Baidu index big data platform,and takes the outflow and inflow of tourism information between cities in the Yellow River Basin from 2011 to 2018 as the research object.While analyzing the characteristics of the temporal and spatial evolution of the urban tourism information flow in the Yellow River Basin,it discusses the influence on tourist sources.The dynamic mechanism of the outflow of local information and the inflow of destination information is expected to provide a reference for tourism to promote the high-quality development of the Yellow River Basin.This research is divided into 5 chapters: Chapter 1 Introduction,focusing on the basic content of the research carried out,such as the research background,research significance,research area,research methods,etc.,and made the top-level design of the entire research plan,rationally constructing the research framework and technical route,to clarify the thinking and context of research.Chapter 2 summarizes the theories and research related to this study on the basis of defining information and other concepts,focusing on the “flow space” theory,space field theory,the push-pull theory then reviewed and made a conclusion on the related research on regional tourism information flow,tourism information flow,and the Yellow River tourist city.Chapter3 uses geographic mathematics methods such as standard deviation and coefficient of variation,and spatial analysis methods such as ESDA and spatial field analysis to analyze the overall and local spatial pattern and the agglomeration-diffusion evolution characteristics of the urban tourism information flow in the Yellow River Basin from2011 to 2018.The research found:(1)From the perspective of its overall spatial pattern,from 2011 to 2018,the absolute differences,relative differences,and regional differences in the outflow and inflow of tourism information among 67 cities in the Yellow River Basin are small and show a downward trend,and the distribution is becoming more and more balanced;the general flow area(outflow,inflow)is the main area,and the strong information flow area is mainly distributed in the middle and lower reaches of the Yellow River;the outflow of tourism information in the basin has a significant positive spatial autocorrelation relationship,and the spatial agglomeration effect is higher than the inflow of its tourism information;(2)From its local spatial pattern,from 2011 to 2018,the hotspots and hotspots of urban tourism information flow in the Yellow River Basin are mainly distributed in the eastern part of the basin,and the general area is located in the middle of the basin.The colder and cold spot areas are mainly distributed in the west,showing the clear directions that the pattern of cold and hot spots spreading from the western region to the eastern region and from the middle and lower reaches to the upper reaches;the local spatial agglomeration characteristics of the tourism information flow in the basin are relatively stable,and the local spatial connection form is mainly based on the “low-low” agglomeration trend;(3)Analysis of the results from the spatial field From 2011 to 2018,the total field strength of the urban tourism information flow in the Yellow River Basin increased in fluctuation,showing the characteristics of “multi-center” spatial distribution.Zhengzhou,Xi’an,and Jinan are the fields that have an important influence on the distribution characteristics of the spatial field.The source city is located in the first-level field strength area of the tourist information flow in the Yellow River Basin.Chapter 4,based on the push-pull theory,constructs a selection of influencing factor systems for the outflow,inflow and distribution characteristics of urban tourism information in the Yellow River Basin from the perspectives of “push”,“pull” and “impedance”.Based on the Pearson correlation analysis of factors,using Geo-detector to explore the dynamic mechanism of urban tourism information flow in the Yellow River Basin from the perspective of spatial hierarchical heterogeneity,it is found that:(1)The penetration rate of mobile phones is the most important driving factor for the spatial agglomeration of tourism information flow in the river basin.Population quality,total telecommunications services,and fixed broadband access users are the second-tier major factors,and economic strength and the overall strength of the city are relatively strong but showing an upward trend,population size,population distribution,and transportation convenience have the average effect,economic benefits and consumption level have the weakest effect;(2)The comprehensive strength of a city is the main factor affecting the diffusion of destination tourism information,the r value and q value of mobile phone penetration rate,total telecommunications business,and fixed broadband access user indicators which represents the level of urban informatization are relatively high,means that those are the main factor at the second level,followed by tourism resource endowment,ecological environment service facilities,health service facilities and Traffic convenience,but the destination service and reception capacity,industrial structure and government intervention have the least effect on the outflow of tourism information in the basin;(3)The flow of tourism information in the Yellow River Basin is also affected by the resistance of the medium of tourism information channels between cities.With the further compression of time and space and the acceleration of the ICT process,the flow of tourism information in the Yellow River Basin has been hindered by time and space.The psychological distance q value is larger than the spatial distance and time distance,and the r value reflects a stronger correlation,which means the main resistance factor for the collection and distribution of tourism information in the basin is the psychological distance;(4)The tourism demand and tourism supply in the Yellow River Basin are unbalanced during the tourism development process.There is obvious core thrust factors for the spatial agglomeration of tourism information inflows into cities in the Yellow River Basin.The pushing force has the greatest strength and is the core mechanism of tourism information flow in the Yellow River Basin,followed by the pulling force mechanism,and the resistance mechanism has the least strength.Chapter5 is the Conclusions and Prospects,while summarizing the important conclusions of this article,discusses the innovations,shortcomings and next steps of this article.In addition,based on the research results of this article,countermeasures and suggestions are put forward for tourism to help the ecological protection and high-quality development of the Yellow River Basin. |
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