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The purpose of this paper is to explore external, mediator and moderator factors that influence tourist intention to use GPS-based navigation apps from the perspective of spatiotemporal tourist behavior (STTB).

A total of 636 valid questionnaires were selected from tourists visiting Lijiang Ancient Town. The partial least squares-structural equation modeling with the SmartPLS approach was adopted to estimate and validate the model.

The results of this paper showed that wayfinding efficiency, sensation-seeking behavior and spatial ability (SA) influence tourists’ intention to use (IU) navigation apps. A mediator of perceived location accuracy between SA and IU has been found. A multigroup generation moderator is verified in the model.

This paper provides a better understanding of the relationship between tourist spatiotemporal behavior and navigation apps, presenting practical suggestions for app developers, destination managers and vacation planners.

While the effects of information technology on tourist behavior have become a topic of interest among tourism industry stakeholders, this paper examines the effects of STTB on the acceptance of navigation apps in reverse, which enriches the theoretical framework.

本文从时空旅游行为 (STTB) 的角度探讨了影响游客使用基于 GPS 的导航应用程序的外部、中介和调节因素。

本研究共从丽江古城旅游者中抽取了636份有效问卷。采用 SmartPLS 方法的偏最小二乘结构方程建模 (PLS-SEM) 来估计和验证模型。

研究结果表明, 寻路效率 (WE)、感觉寻求行为 (SSB) 和空间能力 (SA) 会影响游客的使用意向 (IU) 导航应用程序。研究还发现感知位置准确度 (PLA)是空间能力 (SA) 和使用意图 (IU) 之间的中介变量。世代在多组比较模型中作为调节变量。

本文提供了对旅游时空行为与导航应用程序之间关系的更好理解, 为应用程序开发人员、目的地管理者和度假规划者提供了实用建议。

虽然信息技术对游客行为的影响已成为旅游业利益相关者感兴趣的话题, 但本文研究了 STTB 对导航应用程序接受度的影响, 从而丰富了理论框架。

This study aims to investigate the evolving travel intentions of tourists in the aftermath of the relaxation of international mobility restrictions in 2022. It aims to understand how the concept of “revenge travel” – travelling with the intent to make up for lost time during crisis periods – impacts tourists' travel intentions in the post-crisis era.

Employing a quantitative approach, the study uses Structural Equation Modelling (SEM). Data were collected through a survey of 320 respondents in 2022. This methodology enables a comprehensive understanding of travel intentions, including motivations, perceptions of destination safety and the influence of revenge travel.

The findings reveal that revenge travel is a significant predictor of travel intentions post-crisis. The results indicate that tourists are less concerned with health and safety and are more driven by the desire to compensate for lost travel opportunities. This shift suggests that travel intentions in the post-crisis era are not predominantly fear-induced. The study also offers insights into how these intentions can inform the recovery and sustainable planning of the tourism industry.

This paper recognises the impact of revenge travel on travel intentions following the lifting of crisis-related mobility restrictions. It provides novel insights into tourists' post-crisis travel behaviour, extending the understanding of travel motivations in extraordinary circumstances. The findings are valuable for tourism practitioners and researchers, offering guidance for future tourism development and marketing strategies within a post-crisis context.