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首页> 外文期刊>Journal of Transportation Technologies >Composite Sustainable Indicators Framework for Cost Assessment of Land Transport Mode in Lebanon Cities
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Composite Sustainable Indicators Framework for Cost Assessment of Land Transport Mode in Lebanon Cities

机译:黎巴嫩城市陆路运输方式成本评估的综合可持续指标框架

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The aim of the work performed in this paper is to present a composite indicators framework to guide sustainable transportation planning in Lebanon by assessing the sustainability marginal cost of Land Transport modes used mostly based on ICE (internal combustion engine) auto dependence. The framework covers 6 indicators of the triple bottom line of sustainability (economy, society, and environment): operating cost, energy consumption, noise exposure, congestion delay, emissions, and safety. The framework process follows an evaluation toolkit that monitors the cost implied from listed individual indicators of transport mode. Moreover, this evaluation methodology can be used to estimate to an acceptable degree the cost variation resulting from transport mode modifications within same geographical zone. This cost variance is the main interest of investors and decision makers seeking profits and successful results of their transportation planning process. A case study is executed in Lebanon GBA (Greater Beirut Area), where the annual cost of an alternative consisting of light rail transit (LRT) to passenger cars (PC) system is assessed; applying the stated methodology. Results show clearly an environmental amelioration with a reduction of 4,651,817,100 MJ of energy and 181,936 ton of CO_(2) emissions in addition to a saving of 255,643,035$ annually.
机译:本文进行的工作旨在提供一个综合指标框架,通过评估主要基于ICE(内燃发动机)自动依赖的陆路运输模式的可持续边际成本来指导黎巴嫩的可持续交通规划。该框架涵盖了可持续性三重底线(经济,社会和环境)的六个指标:运营成本,能源消耗,噪声暴露,拥堵延迟,排放和安全。框架流程遵循一个评估工具包,该工具包可监视列出的运输模式各个指标所隐含的成本。而且,这种评估方法可以用来将由同一地理区域内的运输方式修改引起的成本变化估算到可接受的程度。这种成本差异是寻求运输计划过程中的利润和成功结果的投资者和决策者的主要利益。在黎巴嫩大湾区(大贝鲁特地区)进行了案例研究,评估了由轻轨运输(LRT)到乘用车(PC)系统组成的替代方案的年度成本;应用所述方法。结果清楚地表明,除了每年节省255,643,035美元之外,环境的改善还减少了4,651,817,100 MJ的能源和181,936吨的CO_(2)排放量。

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