Analysis of tourist classification from cellular network data

IF 1.2 Q4 TELECOMMUNICATIONS Journal of Location Based Services Pub Date : 2018-01-02 DOI:10.1080/17489725.2018.1463466
M. Mamei, Massimo Colonna
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引用次数: 9

Abstract

Abstract We present and evaluate a classification method to estimate tourist presence in an area from cellular network data. Our approach is based on setting up a classifier to label users according to five main classes: residents, commuters, people in-transit, tourists and excursionists. We experiment the approach in some important tourist cities in Italy: Venice, Florence, Turin and Lecce. In the lack of sound groundtruth data, we analysed the composition of different classes obtaining results in line with domain knowledge. Moreover, these results are also supported by an analysis of the locations frequented by the tourists that well conforms with expectations. Finally, the number of users classified as tourists is strongly correlated with official statistics on tourist presence in the area.
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基于蜂窝网络数据的旅游分类分析
摘要我们提出并评估了一种根据蜂窝网络数据估计某个地区游客存在的分类方法。我们的方法基于建立一个分类器,根据五个主要类别给用户贴标签:居民、通勤者、在途人员、游客和短途旅行者。我们在意大利的一些重要旅游城市进行了实验:威尼斯、佛罗伦萨、都灵和莱切。在缺乏可靠的基本事实数据的情况下,我们分析了不同类别的组成,获得了符合领域知识的结果。此外,这些结果也得到了对游客经常光顾的地点的分析的支持,这完全符合预期。最后,被归类为游客的用户数量与该地区游客人数的官方统计数据密切相关。
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来源期刊
CiteScore
3.70
自引率
8.70%
发文量
12
期刊介绍: The aim of this interdisciplinary and international journal is to provide a forum for the exchange of original ideas, techniques, designs and experiences in the rapidly growing field of location based services on networked mobile devices. It is intended to interest those who design, implement and deliver location based services in a wide range of contexts. Published research will span the field from location based computing and next-generation interfaces through telecom location architectures to business models and the social implications of this technology. The diversity of content echoes the extended nature of the chain of players required to make location based services a reality.
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