Large urban special events significantly contribute to a city's vibrancy and economic growth but concurrently impose challenges on transportation systems due to alterations in mobility patterns. This study aims to shed light on mobility patterns by utilizing a unique, comprehensive dataset collected from the Helsinki public transport mobile application and Bluetooth beacons. Earlier methods, relying on mobile phone records or focusing on single traffic modes, do not fully grasp the intricacies of travel behavior during such events. We focus on the Vappu festivities (May 1st) in the Helsinki Metropolitan Area, a national holiday characterized by mass gatherings and outdoor activities. We examine and compare multi-modal mobility patterns during the event with those during typical non-working days in May 2022. Through this case study, we find that people tend to favor public transport over private cars and are prepared to walk longer distances to participate in the event. The study underscores the value of using comprehensive multi-modal data to better understand and manage transportation during large-scale events.
翻译:大型城市特殊活动显著增强了城市的活力与经济增长,但同时也因出行模式变化对交通系统构成挑战。本研究旨在利用从赫尔辛基公共交通移动应用和蓝牙信标采集的独特综合数据集,揭示出行模式的特征。以往依赖手机记录或聚焦单一交通模式的方法,无法完全把握此类活动期间出行行为的复杂性。我们聚焦于赫尔辛基大都会区的Vappu节庆典(5月1日)——这一以大规模集会和户外活动为特征的全国性假日,通过对比2022年5月典型非工作日与活动期间的多模式出行模式,发现民众更倾向于选择公共交通而非私家车,并愿意步行更远距离参与活动。本研究凸显了利用综合多模式数据更好地理解与管理大型活动期间交通的价值。