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Development of a Behavior-Based Passenger Flow Assignment Model for Urban Rail Transit in Section Interruption Circumstance

机译:区间中断情况下基于行为的城市轨道交通客流分配模型的建立

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Abstract At present, the urban rail transit (URT) system has achieved network operation in many major cities of China. But, little attention has been given to the vulnerability of the URT system. The purpose of this study is to assign the passenger flow under the condition of section interruption in URT system. Two surveys (a passenger behavior survey and a stated preference survey) were conducted and a multinomial logit model was developed. The results show that although the first choice of passengers in emergency situation is to stay in URT system by a circuitous way, more than half of the respondents express interest in the temporary shuttle bus. For the temporary shuttle bus, the sensitivity analysis show that the relative speed is more important than crowding degree for passengers. The significant variables mostly fall in the personal attributes such as income, gender, age, etc. The impacts of trip feature factors are similar to the previous research in normal situations. These results provide basic support for passenger flow assignment at the shuttle bus level and reducing the risk of crowding at some special stations. Moreover, it is also good for reducing passenger delay and recovering the trip.
机译:摘要目前,城市轨道交通(URT)系统已在中国许多主要城市实现网络运营。但是,很少有人对URT系统的脆弱性给予关注。这项研究的目的是在URT系统的区间中断条件下分配客流。进行了两次调查(旅客行为调查和陈述性偏好调查),并开发了多项logit模型。结果表明,尽管在紧急情况下乘客的首选是通过a回方式停留在URT系统中,但超过一半的受访者表示对临时穿梭巴士感兴趣。对于临时穿梭巴士,敏感性分析表明,相对速度比乘客拥挤程度更为重要。显着变量主要属于个人属性,例如收入,性别,年龄等。旅行特征因素的影响与正常情况下的先前研究相似。这些结果为穿梭巴士级别的客流分配提供了基本支持,并减少了某些特殊车站拥挤的风险。此外,这对于减少乘客延误和恢复旅程也是有好处的。

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