Abstract
Data from travel blogs represent important travel behavior and destination resource information. Moreover, technological innovations and increasing use of social media are providing accessible ‘big data’ at a low cost. Despite this, there is still limited big data analysis for scenic tourism areas. This research on Huashan (Mount Hua, China) data-mined user-contributed travel logs on the Mafengwo and Ctrip websites. Semantic analysis explored tourist movement patterns and preferences within the scenic area. GIS provided a visual distribution of blogger origins. The relationship between Huashan and adjoining tourism areas revealed a multi-destination pattern of tourist movements. Emotional analysis indicated tourist satisfaction levels, while content analysis explored more deeply into dissatisfying aspects of tourist experiences. The results should provide guidance for scenic areas in destination planning and design.
Highlights
Travel behavioral pattern analysis is important for the planning and management of tourism destinations and attractions, allowing managers to more effectively develop strategies, map out travel routes, recommend products and experiences, and manage visitor impacts [1]
Smart tourism strategies based on big-data analysis will undoubtedly contribute to solving these information deficiencies
What are the monthly distributions of visits, expenditures, and lengths of stay for visitors to Huashan?. Answering these questions by analyzing travel blogs for Huashan is potentially a smart tourism solution leading to more effective scenic area planning and management
Summary
Travel behavioral pattern analysis is important for the planning and management of tourism destinations and attractions, allowing managers to more effectively develop strategies, map out travel routes, recommend products and experiences, and manage visitor impacts [1]. Travel blogs on social media are an excellent information source for analyzing tourist movements, activities, preferences, and satisfaction levels [2]. These data are not often being applied in scenic area planning in China. Answering these questions by analyzing travel blogs for Huashan is potentially a smart tourism solution leading to more effective scenic area planning and management. It may contribute ideas and solutions to enhancing the sustainability of the scenic area
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