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首页> 外文期刊>Intelligence: A Multidisciplinary Journal >A whole life cycle approach under uncertainty for economically justifiable ballasted railway track maintenance
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A whole life cycle approach under uncertainty for economically justifiable ballasted railway track maintenance

机译:经济上合理的压载铁路轨道维护的不确定度下的整个生命周期方法

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Historically, railway track maintenance strategies have been based on engineering judgement taking into account available budgets and operational safety. This has led to insufficient concern of the socio-economic and environmental costs and benefits of track maintenance. Given the pressure to increase track utilisation, the ageing infrastructure of railway networks, constrained maintenance budgets, the vertical separation of the ownership and operation of railway track infrastructure and rolling stock in many countries, and concerns about the environmental impacts of transport, there is a need to implement economically justifiable maintenance strategies. To this end, this paper presents for the first time an approach to appraise the investment in railway track maintenance. The approach uses a whole life cycle cost analysis under uncertainty approach which considers the costs and benefits of track maintenance to train operators, users and the environment. Monte Carlo simulation technique is used to address data uncertainties associated with the costs and benefits of track and train operation and maintenance. The proposed approach is applied to three different route types on the UK main-line railway network to compare a number of alternative maintenance strategies. In all the three cases more economically beneficial strategies were identified in comparison to those currently adopted.
机译:从历史上看,铁路轨道维护策略一直基于工程判断,考虑到可用的预算和运营安全。这导致社会经济和环境成本的关注不足,以及跟踪维护的益处。鉴于增加轨道利用的压力,铁路网络的老化基础设施,约束维护预算,许多国家的铁路轨道基础设施和滚动股的局部运行和运营,以及对运输环境影响的担忧,有一个需要实施经济上合理的维护策略。为此,本文首次出现了评估铁路轨道维护投资的方法。该方法利用了整个生命周期成本分析根据不确定性的方法,这考虑了追踪维护的成本和效益,以培训运营商,用户和环境。 Monte Carlo仿真技术用于解决与轨道和火车操作和维护的成本和益处相关的数据不确定性。所提出的方法适用于英国主线铁路网络上的三种不同的路线类型,以比较一些替代维护策略。在所有三种情况下,与目前采用的人相比,确定了更经济的有益策略。

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