A favorable tourism image of high-quality mountain scenic spots(HQMSS)is crucial for tourism prosperity and sustainability.This paper establishes a framework for investigating the tourism image based on cognitive-emot...A favorable tourism image of high-quality mountain scenic spots(HQMSS)is crucial for tourism prosperity and sustainability.This paper establishes a framework for investigating the tourism image based on cognitive-emotion theory and uses natural language processing(NLP)tools to clarify the cognition,emotion,and overall tourist image of the HQMSS in China from the perspective of tourist perception.This paper examines the multi-dimensional spatial differentiation of China's overall image,including province,scenic spot scales,as well as the spatial pattern of the overall comprehensive tourism image.Strategies for comprehensively improving HQMSS's tourism image are also formulated.The results show that:(1)The cognitive image of Chinese HQMSS is categorized into core and marginal images,and the core images such as scenery and cable car are the expression of the uniqueness of mountainous scenic spots.Additionally,the cognitive image is classified into six dimensions:tourism environment,tourism supporting facilities,tourism experience,tourism price,tourism service,and tourism safety.(2)Positive emotions are the dominant mood type of HQMSS in China,followed by neutral emotions,with negative emotions being the least frequent.Emotional images vary across dimensions,with tourism environment and tourism experience evoking relatively higher emotion.(3)The spatial pattern of HQMSS for each dimension at the national,provincial,and scenic scales is diversifying.This article provides a multidimensional perspective for investigating the tourism image of mountainous scenic spots,proposes targeted recommendations to improve the overall image of HQMSS in China,and can greatly contribute to the sustainable development of mountain tourism.展开更多
The spatial structure of scenic spots to a certain extent determines the spatial pattern of tourism over an entire region.This study examined the spatiotemporal evolution of A-level tourist attractions of Qiandongnan ...The spatial structure of scenic spots to a certain extent determines the spatial pattern of tourism over an entire region.This study examined the spatiotemporal evolution of A-level tourist attractions of Qiandongnan Prefecture during 2012,2015 and 2018 using GIS spatial analysis methods such as the nearest-neighbor index,kernel density,standard deviation ellipse and geographically weighted regression.The results indicated continuous growth of tourist attractions in Qiandongnan Prefecture in 2012–2018,which could be divided into three growth stages,namely low,stable and rapid.Although tourist attractions were clustered,the degree of clustering declined with an unbalanced spatial distribution,mainly concentrated in areas around the city and areas with high tourism value.The area of highest density of tourist attractions shifted from northwest to southeast.Based on these results,resource availability,social and economic conditions,traffic accessibility and policy factors were identified as the main factors influencing the spatiotemporal differentiation of scenic spots in Qiandongnan Prefecture.展开更多
基金supported by Natural Science Foundation of Heilongjiang Province,China[LH2019D009]。
文摘A favorable tourism image of high-quality mountain scenic spots(HQMSS)is crucial for tourism prosperity and sustainability.This paper establishes a framework for investigating the tourism image based on cognitive-emotion theory and uses natural language processing(NLP)tools to clarify the cognition,emotion,and overall tourist image of the HQMSS in China from the perspective of tourist perception.This paper examines the multi-dimensional spatial differentiation of China's overall image,including province,scenic spot scales,as well as the spatial pattern of the overall comprehensive tourism image.Strategies for comprehensively improving HQMSS's tourism image are also formulated.The results show that:(1)The cognitive image of Chinese HQMSS is categorized into core and marginal images,and the core images such as scenery and cable car are the expression of the uniqueness of mountainous scenic spots.Additionally,the cognitive image is classified into six dimensions:tourism environment,tourism supporting facilities,tourism experience,tourism price,tourism service,and tourism safety.(2)Positive emotions are the dominant mood type of HQMSS in China,followed by neutral emotions,with negative emotions being the least frequent.Emotional images vary across dimensions,with tourism environment and tourism experience evoking relatively higher emotion.(3)The spatial pattern of HQMSS for each dimension at the national,provincial,and scenic scales is diversifying.This article provides a multidimensional perspective for investigating the tourism image of mountainous scenic spots,proposes targeted recommendations to improve the overall image of HQMSS in China,and can greatly contribute to the sustainable development of mountain tourism.
基金supported by the Natural Science Foundation of Education Department of Guizhou,China(Grant No.KY[2018]367).
文摘The spatial structure of scenic spots to a certain extent determines the spatial pattern of tourism over an entire region.This study examined the spatiotemporal evolution of A-level tourist attractions of Qiandongnan Prefecture during 2012,2015 and 2018 using GIS spatial analysis methods such as the nearest-neighbor index,kernel density,standard deviation ellipse and geographically weighted regression.The results indicated continuous growth of tourist attractions in Qiandongnan Prefecture in 2012–2018,which could be divided into three growth stages,namely low,stable and rapid.Although tourist attractions were clustered,the degree of clustering declined with an unbalanced spatial distribution,mainly concentrated in areas around the city and areas with high tourism value.The area of highest density of tourist attractions shifted from northwest to southeast.Based on these results,resource availability,social and economic conditions,traffic accessibility and policy factors were identified as the main factors influencing the spatiotemporal differentiation of scenic spots in Qiandongnan Prefecture.
