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首页> 外文期刊>Journal of Service Science and Management >The Influencing Factors and Mechanism of Tourists’ Revisit Intention in Chinese Tourism Characteristic Towns—Take Gankeng Hakka Town in Shenzhen as an Example
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The Influencing Factors and Mechanism of Tourists’ Revisit Intention in Chinese Tourism Characteristic Towns—Take Gankeng Hakka Town in Shenzhen as an Example

机译：中国特色旅游城市游客重访意向的影响因素及机制-以深圳赣坑客家乡为例

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Tourists’ revisit intention is of great significance to the sustainable development of Chinese tourism characteristic towns. This study took Gankeng Hakka Town which is a typical Chinese tourism characteristic town as an example, using confirmatory factor analysis (CFA) method of Structural Equation Modeling (SEM) to build a structural equation model regarding tourists’ revisit intention. This model included ten paths and four variables which were tourist satisfaction, tourist motivation, tourists’ perceived value and tourists’ revisit intention. Through CFA, this paper found out the dimensions of the three variables (tourist satisfaction, tourist motivation, tourists’ perceived value), also tested the reliability and validity of the measurement items. Through SEM, CMIN/DF, RMR, RMSEA, GFI, AGFI, NFI, RFI, IFI, TLI, CFI, PGFI, PCFI and PNFI were selected to evaluate the degree of finesse between the model and the data. The results indicate that the tourist satisfaction has a direct and significant effect on the tourists’ revisit intention; tourist motivation and tourists’ perceived value have no direct influence on tourists’ revisiting intention, but they can influence the revisiting intention through the influence of tourist satisfaction. Therefore, tourist satisfaction has a mediating effect in the mechanism of the entire model. Among them, the factors of “Increase Knowledge”, “Rich Atmosphere” and “Satisfactory Landscape” have great influence on tourists’ revisit intention. It is suggested that the construction of Chinese tourism characteristic towns should focus on the development of scenic cultural atmosphere and park landscape in the future.
机译：游客的重访意向对中国特色旅游城镇的可持续发展具有重要意义。本研究以典型的中国旅游特色镇甘坑客家镇为例，利用结构方程模型（SEM）的确认因子分析（CFA）方法建立了游客再访意向的结构方程模型。该模型包括十个路径和四个变量，分别是游客满意度，游客动机，游客感知价值和游客重访意愿。通过CFA，本文发现了三个变量的维度（游客满意度，游客动机，游客的感知价值），并测试了测量项目的可靠性和有效性。通过SEM，选择CMIN / DF，RMR，RMSEA，GFI，AGFI，NFI，RFI，IFI，TLI，CFI，PGFI，PCFI和PNFI，以评估模型与数据之间的精细程度。结果表明，游客满意度对游客的重访意愿有直接而显着的影响。游客的动机和游客的感知价值对游客的再访意图没有直接影响，但可以通过游客满意度的影响来影响再访意图。因此，游客满意度在整个模型的机制中具有中介作用。其中，“知识增加”，“气氛浓郁”和“风景满意”等因素对游客的重访意向有很大影响。建议中国旅游特色城镇的建设应着眼于风景文化氛围和公园景观的发展。

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