41 research outputs found

    WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting

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    Recent CNN and Transformer-based models tried to utilize frequency and periodicity information for long-term time series forecasting. However, most existing work is based on Fourier transform, which cannot capture fine-grained and local frequency structure. In this paper, we propose a Wavelet-Fourier Transform Network (WFTNet) for long-term time series forecasting. WFTNet utilizes both Fourier and wavelet transforms to extract comprehensive temporal-frequency information from the signal, where Fourier transform captures the global periodic patterns and wavelet transform captures the local ones. Furthermore, we introduce a Periodicity-Weighted Coefficient (PWC) to adaptively balance the importance of global and local frequency patterns. Extensive experiments on various time series datasets show that WFTNet consistently outperforms other state-of-the-art baseline

    Profiling the elite middle-age Chinese outbound travellers : a 3rd wave?

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    With inductive analysis of relevant statistics and literature, this paper reveals an elite middle-age Chinese cohort of significant size, with ample buying power and considerable discretionary time to support the outbound travel of themselves and their children. This middle age group has experienced a time of dramatic change in recent years causing a transformation of traditional livelihood activities and lifestyles. Associated changes in wealth and values contribute to overseas travel proclivities that could entail both positive and negative impacts for both host and guest. The depiction of the current status and potential development in Chinese outbound travel suggests that this group could possibly form a ā€˜3rd waveā€™ of Chinese outbound tourists. The segmentation based on generation cohort and social status is particularly suitable in helping the tourism industry service providers in identifying market characteristics for marketing, product development and comprehensive destination development.</p

    Study on the difference of perceived destination attractiveness based on tourist experiences

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    As to the impact of tourist experiences on tourists' perceived destination the existing study literature is limited to the discussion about perceived image and perceived value rather than perceived destination attractiveness. First-time tourists and repeated visitors of a destination represent tourists with different tourist experiences. The purpose of this paper is to explore their perceived attractiveness of destinations and disparity. Nankun Mountain Ecological Areaļ¼Œ Guangdong Provinceļ¼Œ a rapid developing tourist destination with considerable repeated touristsļ¼Œis selected as a survey site and an empirical study is conducted through in-depth interviews and questionnaire survey. The results indicate that perceived destination attractiveness includes two dimensions of total environmental attractiveness and sightseeing experience attractiveness. Repeated visitors have significantly higher perception of total environmental attractiveness than first-time touristsļ¼Œ whereas there is no significant difference in terms of the perception of sightseeing experience attractiveness. This study conclusion is of stronger enlightening significance to the development of destinations and marketing practice

    From theme park to cultural tourism town: Disneyization turning of tourism space in China

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    Theme park development has become an important choice for tourism space development in Chinese cities, and the theming of space as well as the implied consumption symbols and cultural implications are usually viewed as examples for the development of other urban spaces, such as cultural tourism towns. The result is the Disneyization of urban tourism space. With the construction of characteristic towns being vigorously promoted throughout China, cultural tourism towns are springing up. They are typical of the ā€œWuzhen Town Modeā€ and represent the process of the Disneyization of tourism space in China. This research reflects on the evolution of the characteristics of tourism space in China. Taking the Wuzhen Town Mode as an example, this study reveals the characteristics and conversion mechanism of the Disneyization of tourism space in Chinese cities. According to this research, the Wuzhen Town Mode of the Disneyization is characterized by theming, hybrid consumption, merchandising, and performative labor. Residential function is a unique characteristic of the Disneyization of cultural tourism towns in China. Moreover, the Wuzhen Town Mode of the Disneyization is jointly motivated by the driving force of local governments, the propulsive force of tourist demand, the attractive force of the social environment, and the driving force of capital. Finally, suggestions and policy proposals are provided for the Disneyization of tourism space in China
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