Has the COVID-19 pandemic affected travellers’ willingness to wait with real-time crowding information?

IF 5.1 2区 工程技术 Q1 TRANSPORTATION
Arkadiusz Drabicki , Oded Cats , Rafał Kucharski
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引用次数: 0

Abstract

Travel preferences in public transport (PT) have been substantially affected by the COVID-19 crisis, with rising emphasis on on-board safety and comfort aspects. Hence, real-time crowding information (RTCI) might have become even more instrumental in supporting travel decisions in congested urban PT systems. This study investigates the willingness to wait (WTW) to reduce (or avoid) overcrowding with RTCI in urban PT (bus and tram) journeys, analysing pre- vs. post-COVID travel behaviour attitudes. Stated-preference data and (subsequently estimated) choice models indicate that, while the pre-COVID WTW was primarily driven by mere possibility to avoid an overcrowded first departure, the post-COVID propensity to wait is strongly associated with expectations of seat availability in second departure as well. The ex-post WTW with RTCI seems to have become less-dependent on individual characteristics and more prominent for time-critical (obligatory) trips as well. Our findings underpin the rising relevance of passenger overcrowding in urban PT journeys. Moreover, they help better understand the potential of RTCI in post-pandemic recovery of PT ridership.

COVID-19 大流行是否影响了旅客对实时拥挤信息的等待意愿?
COVID-19 危机对公共交通(PT)的出行偏好产生了重大影响,人们越来越重视车内的安全和舒适度。因此,在拥堵的城市公共交通系统中,实时拥挤信息(RTCI)在支持出行决策方面可能变得更加重要。本研究调查了在城市公共交通(公共汽车和有轨电车)旅程中使用实时拥挤信息减少(或避免)拥挤的等待意愿(WTW),分析了COVID前后的旅行行为态度。陈述-偏好数据和(随后估算的)选择模型表明,虽然 COVID 前的 WTW 主要受避免第一次发车拥挤的可能性驱动,但 COVID 后的等待倾向也与第二次发车的座位可用性预期密切相关。RTCI 的事后 WTW 似乎已不再那么依赖于个人特征,而且对于时间紧迫(强制性)的旅行也更加突出。我们的研究结果证明,在城市公共交通旅程中,乘客拥挤问题的相关性越来越高。此外,这些发现还有助于更好地理解 RTCI 在大流行后恢复公共交通乘客量方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.80
自引率
7.70%
发文量
109
期刊介绍: Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
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