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Visitor flow spillover effects on attraction demand: A spatial econometric model with multisource data
Tourism Management ( IF 12.7 ) Pub Date : 2021-09-21 , DOI: 10.1016/j.tourman.2021.104432
Yoo Ri Kim 1 , Anyu Liu 1 , Jason Stienmetz 2 , Yining Chen 3
Affiliation  

The aim of this study is to investigate the determinants of attraction demand and shed light on the spillover effects of visitor flows between/across attractions in London using spatial econometric modelling. Both global and local models reveal that income and search queries are significant determinants to attraction demand, while distance from city centre is only significant in the global model. Visitor flow spillovers from neighbouring attractions are found to have significant effects on attraction demand. The intensity and direction of visitor flows’ spillover effects vary by attraction locations. Furthermore, asymmetric spillover effects of visitor flows between a pair of attractions have been identified for the first time in the tourism literature. The adoption of novel spatial estimation methods generates a new dimension to investigate intra-destination demand across attractions. This can provide empirical evidence for decision-makers to optimise visitor flows within a destination.



中文翻译:

游客流量溢出效应对吸引力需求的影响:多源数据的空间计量模型

本研究的目的是调查景点需求的决定因素,并使用空间计量经济学模型阐明伦敦景点之间/之间游客流量的溢出效应。全球和本地模型都表明,收入和搜索查询是吸引需求的重要决定因素,而与市中心的距离仅在全球模型中才重要。来自邻近景点的游客流量溢出被发现对景点需求有显着影响。游客流溢出效应的强度和方向因景点位置而异。此外,旅游文献首次确定了一对景点之间游客流量的不对称溢出效应。采用新的空间估计方法产生了一个新的维度来调查跨景点的目的地内需求。这可以为决策者优化目的地内的游客流量提供经验证据。

更新日期:2021-09-22
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