ABSTRACT This study explores the pattern and formation mechanism of tourists’ spatiotemporal behaviour by modelling, which is crucial for tourism transportation planning and management. The tourism utility maximization principle and tourism demand spillover effect are introduced to explain personal spatiotemporal behaviour. Based on the mathematical description of agent behaviour and simulation environment, an Agent Based Tourist Travel Simulation Model (ABTTSM) is systematically established to include an evaluation of the impact of a new high-speed rail operation in a region of high tourist attraction. Novel spatiotemporal data from social media is employed to test the simulation results. It is found that the transfer probability matrices of the simulation results and social media data are highly correlated and, as a consequence, the tourism circle division is almost unanimous. This means the ABTSM can effectively simulate tourists’ spatiotemporal behaviour and be applied in the planning and management of tourism and transportation.

中文翻译：

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游客时空行为模拟与社交媒体数据结果验证

摘要 本研究通过建模探索游客时空行为的模式和形成机制，这对旅游交通规划和管理至关重要。引入旅游效用最大化原理和旅游需求溢出效应来解释个人时空行为。基于代理行为和模拟环境的数学描述，系统地建立了基于代理的旅游旅行模拟模型（ABTTSM），以评估新高铁运营对高旅游景点地区的影响。来自社交媒体的新时空数据被用来测试模拟结果。发现模拟结果和社交媒体数据的转移概率矩阵高度相关，因此，旅游圈划分几乎是一致的。这意味着 ABTSM 可以有效地模拟游客的时空行为，并应用于旅游和交通的规划和管理。