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arXiv 2203.06015cs.SIcs.DB
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比较官方人口普查和社会感知测量的全球旅游流量

Comparing Global Tourism Flows Measured by Official Census and Social Sensing

Lucas Skora, Helen Senefonte, Myriam Delgado, Ricardo Lüders, Thiago Silva

摘要:

更好地了解游客的行为对于改善全球旅游业中竞争激烈和重要的经济部门的服务具有战略意义。文献中的批判性研究经常使用传统数据(如问卷调查或访谈)来探讨这一问题。传统方法提供了宝贵的信息;然而,它们对获得大规模数据提出了挑战,使得难以研究全球模式。基于位置的社交网络(LBSN)由于获取大量行为数据的成本相对较低,因此可以潜在地缓解这些问题。然而,在使用这些数据研究游客的行为之前,有必要验证这些信息是否充分揭示了用传统数据测量的行为-考虑到地面真相。因此,目前的工作调查,在哪些国家的全球旅游网络测量与LBSN agreeously反映了世界旅游组织使用传统方法估计的行为。虽然我们可以找到例外,结果表明,对于大多数国家,LBSN数据可以令人满意地代表研究的行为。我们有一个迹象表明,在两个数据集获得的结果之间具有高度相关性的国家,LBSN数据可以用于研究在所研究的背景下的游客的流动性。

英文摘要:

A better understanding of the behavior of tourists is strategic for improving services in the competitive and important economic segment of global tourism. Critical studies in the literature often explore the issue using traditional data, such as questionnaires or interviews. Traditional approaches provide precious information; however, they impose challenges to obtaining large-scale data, making it hard to study worldwide patterns. Location-based social networks (LBSNs) can potentially mitigate such issues due to the relatively low cost of acquiring large amounts of behavioral data. Nevertheless, before using such data for studying tourists' behavior, it is necessary to verify whether the information adequately reveals the behavior measured with traditional data -- considered the ground truth. Thus, the present work investigates in which countries the global tourism network measured with an LBSN agreeably reflects the behavior estimated by the World Tourism Organization using traditional methods. Although we could find exceptions, the results suggest that, for most countries, LBSN data can satisfactorily represent the behavior studied. We have an indication that, in countries with high correlations between results obtained from both datasets, LBSN data can be used in research regarding the mobility of the tourists in the studied context.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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