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
Tourism scenic spots serve as direct attractions for tourists and crucial drivers for the transformation and upgrading of the tourism industry,so they play an irreplaceable role in the development of the tourism secto...Tourism scenic spots serve as direct attractions for tourists and crucial drivers for the transformation and upgrading of the tourism industry,so they play an irreplaceable role in the development of the tourism sector.The quantity and grades of A-grade scenic spots are the mainstay of competition in various tourism markets,and their spatial layout is very important for the development of regional tourism.Using 11970 A-grade scenic spots in China as the research sample,and methods such as the Nearest Neighbor Index Method,Kernel Density Estimation Method,and Grid Dimension Method,the spatial distribution,typological structure,and influencing factors of A-grade tourist attractions were analyzed to identify the main natural,economic,and social factors influencing the spatiotemporal pattern of A-grade scenic spots.The results indicated that China’s A-grade scenic spots exhibit clustering characteristics in their spatial distribution.The kernel density center shows a spatial pattern of“multiple cores,with secondary cores surrounding,and a gradual decrease”.The spatial structure is fractal and complex,with significant regional differences and a notable scale-free range.The types of tourist destinations and products exhibit distinct regional features,with a higher concentration of scenic spots in the regions in South China and East China,which are characterized by favorable natural and economic conditions and convenient transportation.A-grade scenic spots are densely distributed around the Beijing-Tianjin-Hebei region and the eastern regions such as Shanghai,Zhejiang,and Jiangsu provinces.Analyzing the spatial distribution characteristics of A-grade scenic spots in China contributes to our understanding of the complexity of scenic spot layout and spatial connections,which provides a basis for optimizing the layout of tourism development within regions,the rational allocation of resources,enhancing the quality and efficiency of the tourism industry,and promoting sustained and healthy regional economic development.It is conducive to the strategic work of tourism development and rural revitalization in China,and serves as a reference for decision-making.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The Guizhou Province 2021 Philosophy and Social Science Planning Project(21GZQN14)。
文摘Tourism scenic spots serve as direct attractions for tourists and crucial drivers for the transformation and upgrading of the tourism industry,so they play an irreplaceable role in the development of the tourism sector.The quantity and grades of A-grade scenic spots are the mainstay of competition in various tourism markets,and their spatial layout is very important for the development of regional tourism.Using 11970 A-grade scenic spots in China as the research sample,and methods such as the Nearest Neighbor Index Method,Kernel Density Estimation Method,and Grid Dimension Method,the spatial distribution,typological structure,and influencing factors of A-grade tourist attractions were analyzed to identify the main natural,economic,and social factors influencing the spatiotemporal pattern of A-grade scenic spots.The results indicated that China’s A-grade scenic spots exhibit clustering characteristics in their spatial distribution.The kernel density center shows a spatial pattern of“multiple cores,with secondary cores surrounding,and a gradual decrease”.The spatial structure is fractal and complex,with significant regional differences and a notable scale-free range.The types of tourist destinations and products exhibit distinct regional features,with a higher concentration of scenic spots in the regions in South China and East China,which are characterized by favorable natural and economic conditions and convenient transportation.A-grade scenic spots are densely distributed around the Beijing-Tianjin-Hebei region and the eastern regions such as Shanghai,Zhejiang,and Jiangsu provinces.Analyzing the spatial distribution characteristics of A-grade scenic spots in China contributes to our understanding of the complexity of scenic spot layout and spatial connections,which provides a basis for optimizing the layout of tourism development within regions,the rational allocation of resources,enhancing the quality and efficiency of the tourism industry,and promoting sustained and healthy regional economic development.It is conducive to the strategic work of tourism development and rural revitalization in China,and serves as a reference for decision-making.
