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Analysis of Crowding Effect on Passengers' Movement Time Based on Smart Card Data

机译:基于智能卡数据的拥挤对乘客出行时间的影响分析

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As a key component of bus dwell time, passenger movement time in boarding and alighting processes plays an important role in affecting service reliability and service quality. Boarding and alighting processes are impacted by several factors, including vehicle configuration, friction between boarding and alighting passengers, bus floor level, and fare payment methods. The crowding effect refers to the interaction between passengers boarding, alighting, and on-board. In this paper, we introduce two indices, namely rank and occupancy, to describe the crowding effect. Rank reflects the sequence of passengers boarding and alighting, which reveals how passengers' movement time changes in boarding/alighting process. Occupancy indicates level of crowdedness in vehicle, and quantifies the friction from on board passengers during boarding and alighting process. Based on time-stamped smart card transactions, we measured the inter-tapping interval between two successive boarding (alighting) passengers to identify the effect of rank and occupancy in determining boarding/alighting processes. Before our analysis, a cluster based outlier detection method is applied to guarantee data quality. Using large quantities of boarding/alighting observations from smart card data, we found that both rank and occupancy have strong effects on boarding and alighting processes. For occupancy, 60% is a critical threshold for boarding process, after which a dramatic increase of average boarding time is observed. This research may help better understand the passenger behavior in boarding and alighting processes.
机译:作为公共汽车停留时间的重要组成部分,上下车过程中的乘客移动时间在影响服务可靠性和服务质量方面起着重要作用。登机和下车过程受多种因素影响,包括车辆配置,登机和下车乘客之间的摩擦,公交车底盘高度和车费支付方式。拥挤效应是指乘客上下车和登机之间的相互作用。在本文中,我们介绍了排名和入住率这两个指标来描述拥挤效果。等级反映了旅客上下车的顺序,揭示了旅客在上下车过程中的移动时间如何变化。占用率表明车辆的拥挤程度,并量化登机和下车过程中机上乘客的摩擦。基于带时间戳的智能卡交易,我们测量了两个连续登机(下车)乘客之间的轻敲时间间隔,以确定等级和占用率对确定登机/下车过程的影响。在我们进行分析之前,将应用基于聚类的离群值检测方法来保证数据质量。使用来自智能卡数据的大量登机/下车观察,我们发现等级和占用率均对登机和下车过程产生重大影响。对于入住率,登机过程的关键门槛是60%,此后平均登机时间会急剧增加。这项研究可能有助于更好地了解乘客在登机和下车过程中的行为。

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