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The impact of large-scale events: A difference-in-difference model for a Pokemon go safari zone event in Tainan and its effect on bikeshare systems

机译:大规模事件的影响:台湾口袋妖怪Go Safari区事件的差异差异模型及其对Bikeshare系统的影响

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摘要

Large-scale events bring tourists to host cities and increase the density of people circulating therein. Poke & acute;mon Go Safari Zone events have been hugely successful at attracting tourists to cities around the world. For example, in one five-day Poke & acute;mon event in Tainan, Taiwan in 2018, the daily log-in count was 250,000 per day on average, generating an estimated US$50 million in revenue for the city. In order to better understand the impacts of Poke & acute;mon and other similar events on bikeshare systems, this study examined changes in station-based bikeshare trips before and during one case study event. We divided bikeshare trips into event-related (i.e., treatment) and event-unrelated (i.e., control) groups based on whether the trips originated from rental stations near 30 scenic event-related locations. We also evaluated the event's impact on the number of trips and trip durations for different smartcard users. A difference-in-difference method was used for the analysis. The results show that this event increased bikeshare trips by 27% for trips starting from event-related rental stations. The number of riders making payment by EasyCard (a smartcard first used by Taipei Mass Rapid Transit) also increased. However, there was no significant change in the duration of bicycle rentals between different smartcard types. Understanding how this event and the associated bikeshare systems are interrelated will be helpful for city administrators seeking to provide adequate services for such events in the future.
机译:大型事件将游客带到主持人,并增加其中循环的人的密度。捅&急性;周一旅行区域活动在吸引游客吸引世界各地的城市方面非常成功。例如,在一项五天的戳&急性; Mon活动,台湾台湾2018年,每日登录计数平均为250,000次,估计为该城市收入估计为5000万美元。为了更好地了解戳&急性;周一和其他类似事件的比克斯凯尔系统的影响,这项研究在一个案例研究事件之前和在一次案例研究事件之前和在一次案例研究事件之前检查了基于站的比克列什巴尔的变化。我们将Bikeshare划分为事件相关的(即,处理)和事件无关(即,控制)组,基于TRIPS源自30个景区事件相关的位置附近的租赁站。我们还评估了对不同智能卡用户的旅行数量和跳闸持续时间的影响。使用差异差异方法进行分析。结果表明,这一事件增加了比克斯凯尔在与事件相关的租赁站开始的旅行时间增加了27%。 easycard支付的骑手数量(台北大规模迅速过境首先使用的智能卡)也增加。但是,在不同智能卡类型之间的自行车租赁期间没有重大变化。了解这一事件和相关的Bikeshare系统是如何相互关联的,对于寻求为此未来提供足够服务的城市管理人员有助于提供足够的服务。

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