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高峰时段缓解地铁拥堵的短转弯模式:中国上海的实质一致性

Short turning pattern for relieving metro congestion during peak hours: the substance coherence of Shanghai, China

作者:Xueqing Ding;Shituo Guan;Daniel Jian Sun;Limin Jia;

关键词:Short turning,Relieve congestion,Metro system,Peak hours

DOI:https://doi.org/10.1186/s12544-018-0293-9

发表时间:2018年

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摘要

简介城市地铁系统在高峰时段通常要应对棘手的高载客量,其中某些车站的需求量极大。然而,并非所有车站都普遍存在过度拥挤的情况,必须分别有针对性地采取缓解措施。由于运营成本和避免运输资源浪费的限制,单纯增加发车频次并不能解决问题。方法短转弯模式已被证明是解决问题的有效途径,主要应用于城市地面公共交通系统。本文将短途转弯模式应用于城市地铁系统,放宽了折返设施的限制。提出了一个数学模型来确定短途转弯参数,在此期间引入了负载系数作为过度拥挤状况的测量。结合上海地铁2号线的实证案例验证了该模型的有效性。结果结果表明,从北新泾至龙阳路的短途转弯路线,可以有效地提高模型的有效性。上海地铁2号线的开通可以有效缓解交通需求大区的拥挤状况。结论本研究结果可为地铁系统管理提供有价值的建议,以改善高峰时段的运营绩效。 >


Abstract

IntroductionUrban metro system generally has to deal with intractable heavily passenger loading during peak hours, in which demands are extreme huge in certain stations. However, overcrowding doesn’t ubiquitously exist for all stations and mitigation measures have to be carried out on purpose, respectively. Because of the restrictions on operational costs and avoiding transportation resources wasting, simply increasing dispatch frequency is not rational to solve the problem.MethodsShort turning pattern has been proved to be an efficient way to solve the issue, which had been mainly used in urban ground public transport systems. This paper applied short turning pattern to urban metro system and relaxed constraints of the turning-back facility. A mathematical model is proposed to determine the short turning parameters, during which a load factor was introduced as a measurement of overcrowding condition. An empirical case from Shanghai Metro Line 2 was incorporated to demonstrate the effectiveness of the proposed model.ResultsThe results indicated that the short turning route from Beixinjing to Longyang Rd. in Shanghai Metro Line 2 could effectively relieve overcrowding within the heavy traffic demand zones.ConclusionsFindings of this study could provide valuable suggestions in metro system administration for potential improvement on the operational performance during peak hours.