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Analysis of an optimal public transport structure under a carbon emission constraint: a case study in Shanghai, China

机译:碳排放约束下最优公共交通工具的分析 - 以中国上海为例

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AbstractAlong with the rapid development of the transportation industry, the problems of the energy crisis and transport emissions have become increasingly serious. The success of traffic emission reduction is related to the realization of global low-carbon goals. Placing priority on public transport is the internationally recognized traffic development model. This paper takes Shanghai, China, as an example to examine the optimal public transport structure. Five factors were selected from personal and public perspectives, including travel costs, crowding degree, occupied area, traffic emissions, and operating subsidies. The objective functions of these factors were transformed into satisfaction functions, and a multi-objective programming model was used to solve for the optimal proportions of the ground bus and rail transit, and the carbon emission reduction potential was analyzed in different scenarios. The study showed that the actual proportion of rail transit in Shanghai was slightly lower than the optimal value, and accompanied by low satisfaction with each factor relative to the optimal value. It was difficult to achieve the traffic emission reduction targets by only reducing satisfaction with other factors except carbon emissions assuming a fixed proportion of public transport. As the proportion of total travel represented by public transport increased, rail transit became the main mode of public transport and the usage trend was more obvious, but the structure of public transport gradually reached a relatively stable state after a certain level of development. Compared to reducing carbon emissions by changing satisfaction with other factors, it was easier to achieve traffic emission reduction targets by increasing the proportion of public transport. To increase the proportion of public transport travel and achieve the goal of traffic reduction in the future, further improvements are needed in the quality of public transport system services, public transport priority development must be differentiated, and the profitability of the public transport industry itself must be enhanced.]]>
机译:<![cdata [ <标题>抽象 ara id =“par1”>随着运输业的快速发展,能源危机和运输排放的问题变得越来越严重。交通排放减少的成功与全球低碳目标的实现有关。在公共交通工具上放置优先事项是国际公认的交通发展模式。本文采取了中国上海,作为审查最优公共交通工具的示例。五个因素选自个人和公共观点,包括旅行费用,拥挤程度,占用区域,交通排放和运营补贴。这些因素的目标功能转化为满意度功能,使用多目标编程模型来解决地面总线和轨道交通的最佳比例,并在不同场景中分析碳排放减少潜力。该研究表明,上海的轨道交通的实际比例略低于最佳值,并伴随着与最佳价值相比的每个因素的低满意度。通过假定公共交通的固定比例,难以降低除碳排放的其他因素的满意度,难以实现交通排放减排目标。随着公共交通总额的总旅行比例增加,铁路运输成为公共交通的主要模式,使用趋势更为明显,但公共交通工具的结构逐渐达到了一定程度的发展程度越来越稳定的状态。与通过改变与其他因素的满意度降低碳排放相比,通过增加公共交通的比例,更容易实现交通减排目标。为了增加公共交通旅行的比例并实现未来交通的目标,需要进一步改进公共交通系统服务,公共交通优先发展必须区分,公共交通工业本身的盈利能力必须得到增强。 ]]>

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