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Identifying attributes of public transport services for urban tourists: A data-mining method
Journal of Transport Geography ( IF 5.899 ) Pub Date : 2021-05-03 , DOI: 10.1016/j.jtrangeo.2021.103069
Yael Ram , Ayelet Gal-Tzur , Amit Rechavi

The current work focuses on Quality of Service (QoS) of Public Transport (PT) attributes in urban tourist destinations. In particular, we aim to reveal which attributes are most significant for tourists prior to their arrival at their destination, as reflected in questions posted in TripAdvisor Question and Answer forums, a widely used social media platform.

We used a data-mining method to classify questions into categories relevant to QoS, using a sample of 8905 items posted between 2005 and 2018 in TripAdvisor forums for seven urban destinations in the United States and Western Europe. We found four PT-QoS attributes: Pricing and ticketing, Accessibility, Trip duration, and Service availability (hours of operation and frequency). These attributes have similar relative significance for all destinations, origins, seasons, and years we checked. Hence, they can help service operators and policymakers to understand tourists' preferences and to adjust PT services accordingly.



中文翻译:

识别城市游客公共交通服务的属性:一种数据挖掘方法

当前的工作集中在城市旅游目的地的公共交通(PT)属性的服务质量(QoS)。特别是,我们旨在揭示哪些属性对游客到达目的地之前最重要,这在广泛使用的社交媒体平台TripAdvisor问答论坛上发布的问题中得到了反映。

我们使用数据挖掘方法将问题分类为与QoS相关的类别,使用了2005年至2018年之间在TripAdvisor论坛中针对美国和西欧七个城市目的地发布的8905个项目的样本。我们发现了四个PT-QoS属性:定价和票证,可访问性,旅行持续时间和服务可用性(营业时间和频率)。对于我们检查的所有目的地,起源,季节和年份,这些属性具有相似的相对重要性。因此,它们可以帮助服务运营商和政策制定者了解游客的偏好并相应地调整PT服务。

更新日期:2021-05-03
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