3 research outputs found
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Who Dominate TDI? A Big Data Evidence from DMO and UGC Short Videos
Abstract
In the formation of tourism destination image (TDI), understanding and being able to measure, analyze, compare, and contrast the images projected by user-generated content(UGC) and destination marketing organizations(DMOs) is crucial in tourism management and destination marketing. This study aims to propose a specific way to measure and compare UGC and DMO projected images within 249 short videos. Using machine learning algorithms, four indicators (the number of short videos, the number of likes, comments and shares) were identified to measure the influences of DMO and UGC short videos, and extracted 7 dimensions representing the destination image extracted through video content analysis, namely, nature environment, infrastructure, culture and art, people, food and beverage, specific activities, and transportation. The data analysis further revealed statistical differences in several dimensions of these images at different destination’s life cycle. Theoretical and practical implications were also discussed.
Keywords
tourism destination image, destination’s life cycle, short video, video captaining,brand hijac
Spatial-temporal variation characteristics and coupling coordination of the “water resources – water environment – water ecology” carrying capacity in the Three Gorges Reservoir Area
The coordinated control and management of water resources, the water environment, and water ecology are essential for optimizing the management of water resources, improving the water environment, rehabilitating water ecosystems, and achieving sustainable development. Most studies conducted to investigate the water carrying capacity have focused primarily on water resources or water environment. However, it is challenging to conduct such research in areas where the interactions between water resources, the environment, and ecology are intricate. In this study, an evaluation indicator system for the water resources - water environment - water ecology carrying capacity (WCC) was constructed, and a coupling coordination model and GeoDetector were employed to systematically analyze the coupling coordination indices (CCI) among the water resource carrying capacity (WRECC), water environment carrying capacity (WENCC), and water ecology carrying capacity (WECCC), as well as the main influencing factors in the Three Gorges Reservoir Area (TGRA) from 2005 to 2018. The results showed that the numbers of counties and districts with a high CCI class gradually increased over this period. The percentage of Class V fluctuated from 0% to 7.7%, and the stability of the water system steadily increased. Spatially, the overall distribution pattern gradually increased from southwest to northeast, and both the single and interactive effects of anthropogenic factors on water systems gradually increased. The CCI was predominantly affected by factors such as the amount of surface water resources per capita, indices of water conservation, forest coverage, discharge of domestic sewage per capita, and water replenishment of the ecosystem. These results show that coordination between the WCC components should be strengthened to further improve water use and domestic water treatment efficiency. To achieve superior-class, effective, and environmentally friendly scientific governance, the productivity of water resources should be increased in areas where the disparity between water availability and the demand for socioeconomic development is severe, and sewage treatment processes should be closely regulated. It is also important to combine resource development and utilization with water ecological protection and management