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Impact assessment of supply-side and demand-side policies on energy consumption and CO_2 emissions from urban passenger transportation: The case of Istanbul

机译:供需政策对城市客运能源消耗和CO_2排放的影响评估:以伊斯坦布尔为例

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The transportation sector accounts for about a quarter of global energy consumption and energy-related carbon emissions. To design and realize sustainable urban transportation, it is vital to understand and analyze interactions between a set of dynamic factors that shape transportation patterns, behaviors, and impacts. To this end, this study aims to develop a systems dynamics (SD) model for Istanbul, Turkey to simulate its urban motorized passenger transport system for analyzing numerous policies under different scenarios and assessing their potential effects in reducing energy consumption and CO2 emissions in the upcoming years. The constructed SD model includes four subsystems: population, household disposable income, transport, and energy and CO2 emissions. Based on historical data (2000-2015) and model validation processes, the energy consumption and the associated CO2 emissions from motorized passenger transport are forecasted for the following scenarios. The first one is business as usual scenario (BAU) which is designed to show how energy use and the associated CO2 emissions would evolve over time with the current development plans. The second and third scenarios constitute supply management measures (SMM) which consider different levels of improvements in the fuel economy of the vehicle fleet and reduced carbon emission intensity in electricity generation through increased share of renewable energy use. The fourth and fifth scenarios consider travel demand management (TDM) policies that include different levels of transport cost increase, and trip length reduction. Finally, the last two scenarios include integrated scenarios that are composed of the SMM and TDM options. In detail, compared to the BAU scenario, integrated scenario considers (1) a 10% improvement in the fuel economy of the vehicles, (2) a 10% reduction in the emission intensity of electricity generation, (3) a 30% increase in the transportation cost, and (4) a 15% reduction in the trip lengths. Under the BAU scenario, the SD model shows that energy consumption per capita from passenger trips will increase from 183 L of oil equivalent in 2016 to 315 L of oil equivalent in 2025 while the associated CO2 emissions per capita will increase from 460 kg in 2016 to 807 kg in 2025. To combat this dramatic growth, the findings indicate that the ambitious integrated scenario achieves the lowest energy consumption and CO2 emissions by offering a 33.5% expected reduction in total energy consumption and a 32.8% expected reduction in total CO2 emissions. (C) 2019 Elsevier Ltd. All rights reserved.
机译:运输部门约占全球能源消耗和与能源有关的碳排放量的四分之一。要设计和实现可持续的城市交通,至关重要的是要了解和分析一系列影响交通方式,行为和影响的动态因素之间的相互作用。为此,本研究旨在为土耳其伊斯坦布尔开发一个系统动力学(SD)模型,以模拟其城市机动客运系统,以分析不同情况下的众多政策,并评估其在即将到来的降低能耗和二氧化碳排放量方面的潜在影响年份。构建的SD模型包括四个子系统:人口,家庭可支配收入,运输以及能源和CO2排放。根据历史数据(2000-2015年)和模型验证过程,针对以下情况,预测了机动化客运的能耗和相关的CO2排放量。第一个是常规业务情景(BAU),其目的是显示随着当前的发展计划,能源使用和相关的CO2排放将随着时间而变化。第二种情况和第三种情况构成了供应管理措施(SMM),其中考虑了提高车队燃油经济性的不同程度,并通过增加可再生能源的使用份额来降低发电中的碳排放强度。第四和第五种情况考虑了旅行需求管理(TDM)策略,其中包括不同级别的运输成本增加和旅行时间减少。最后,最后两个方案包括由SMM和TDM选项组成的集成方案。详细而言,与BAU方案相比,综合方案认为(1)车辆的燃油经济性提高10%,(2)发电排放强度降低10%,(3)排放量提高30%运输成本;以及(4)将行程时间减少15%。在BAU情景下,SD模型显示,旅客旅行的人均能耗将从2016年的183 L油当量增加到2025年的315 L油当量,而相关的人均二氧化碳排放量将从2016年的460千克增加到2025年将达到807千克。为了应对这一惊人的增长,研究结果表明,雄心勃勃的综合方案通过将总能源消耗减少33.5%的预期总CO2排放减少32.8%的方式实现了最低的能源消耗和CO2排放。 (C)2019 Elsevier Ltd.保留所有权利。

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