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Public transport experienced service reliability: Integrating travel time and travel conditions

机译:公共交通服务可靠性:整合出行时间和出行条件

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The paper proposes a generalization of public transport service reliability, incorporating both travel times and travel conditions based on passengers' perceived journey time. Time is partitioned into waiting and transfer time as well as in-vehicle time under different travel conditions (crowding and seat availability), which may vary along a journey and between days. The experienced service reliability gap (ESRG) index is introduced, defined as the difference between an upper percentile (e.g., the 95th) and the median perceived journey time across days for a particular OD pair and departure time. The metric is evaluated by tracing virtual trips from origin to destination with journey times and travel conditions based on automated vehicle location (AVL) and automated passenger count (APC) data and seated status modelled probabilistically. A study of a high-frequency bus line in Stockholm, Sweden shows that travel conditions co-vary only weakly with nominal journey time, and the ESRG index display patterns across the day not evident in existing reliability measures, such as a wider and later afternoon peak. The ESRG displays significant variation between OD pairs along the line. Correlation with headway variability suggests that measures improving bus regularity have additional positive effects on experienced service reliability.
机译:本文提出了对公共交通服务可靠性的概括,并结合了基于乘客感知的旅行时间的旅行时间和旅行条件。在不同的旅行条件下(拥挤和有空位),时间会分为等待时间和中转时间以及车载时间,这些时间可能会随旅途而有所不同。引入有经验的服务可靠性差距(ESRG)指数,定义为较高的百分位数(例如,第95位)与特定OD对和出发时间的跨天中位数感知旅程时间之间的差。通过基于自动车辆位置(AVL)和自动乘客计数(APC)数据以及概率建模的就座状态,通过行程时间和旅行条件跟踪从起点到目的地的虚拟行程来评估该指标。一项对瑞典斯德哥尔摩的高频公交线路的研究表明,出行条件与名义出行时间的变化很小,并且在现有可靠性指标(例如更宽且较晚的下午)中,全天候ESRG指数的显示方式不明显峰。 ESRG在沿线的OD对之间显示出明显的变化。与车距变化的相关性表明,改善公交规则性的措施对经验丰富的服务可靠性具有额外的积极影响。

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