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Effects of Tube Strikes on Journey Times in the Transport Network of London

机译:伦敦交通网络中管罢工对旅途时间的影响

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The goal of this study is to investigate the impact of the latest five underground strikes on journey timesin London's transport network during 2009 and 2010. The main data source of this study is AutomaticNumber Plate Recognition (ANPR) cameras, installed on the entrance and the exit of 670 travel links thatcover the vast majority of the network and are equivalent to a total length of 1740 km. The determinationof spatio-temporal differences of strike effects between the first and the remaining strike days, theidentification of changes in departure and arrival times, the estimation of travel time delays within central,inner, and outer London, as well as between inbound and outbound traffic constitute the main objectivesof the study. The total travel time within the examined areas, the excess delay and the correspondingpercentage difference in journey times are the main performance measurements used. The mostsignificant results showed that the second day of strikes resulted in significant delays as opposed to thefirst strike days. The peaks elongated by approximately 45-60 minutes, while the unique full-day strikehad the highest percentage increase in travel times especially during the evening period (74%). CentralLondon was generally affected the most especially during the morning peak experiencing an averageincrease in travel times of 35%, whilst it had the highest percent of negatively affected links (80%). Theinbound traffic experienced, on average, high delays during the morning peak, whereas the outboundtraffic yielded greater delays during the evening period.
机译:这项研究的目的是调查最近五次地下罢工对出行时间的影响 在2009年至2010年期间位于伦敦的交通网络中。这项研究的主要数据来源是“自动” 车牌识别(ANPR)摄像机,安装在670条旅行路口的入口和出口, 覆盖了整个网络的绝大部分,相当于总长度1740公里。决心 罢工日之间的罢工效应时空差异, 识别出发和到达时间的变化,估算中心区域内的旅行时间延迟, 主要目标是伦敦的内部,外部,以及进出流量之间 的研究。检查区域内的总行驶时间,超限延迟以及相应的时间 行驶时间的百分比差异是所使用的主要性能指标。最多 显着的结果表明,罢工的第二天导致了明显的延误,而不是 第一次罢工日。高峰延长了大约45-60分钟,而独特的全天罢工 出行时间的增加百分比最高,尤其是在夜间(74%)。中央 伦敦通常受到的影响最大,尤其是在早晨高峰期间,平均水平 的出行时间增加了35%,而受到负面影响的链接所占的比例最高(为80%)。这 平均而言,在早上高峰时段,入站流量会出现较大的延迟,而出站流量 在傍晚期间,交通产生了更大的延误。

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