城市交通系统碳排放评估体系与评价方法研究

发布时间：2018-04-26 23:06

本文选题：城市客运交通系统 + 二氧化碳排放　；参考：《合肥工业大学》2014年硕士论文

【摘要】：随着我国社会经济的快速发展，城市交通运输需求不断增加，城市交通能源消耗和温室气体排放量也逐年上升，能源短缺和环境恶化严重制约着人类社会的发展。在这种形势下，交通运输业节能减排势在必行。本课题围绕着城市交通系统碳排放和城市交通系统发展水平的评价两个主要方面展开了研究。在广泛调研和文献阅读的基础上，对国内外城市低碳交通发展现状和低碳交通的概念进行了概述和总结；从分析影响城市交通碳排放因素的角度出发，归纳了城市居民出行总量、交通方式分担率、平均出行距离和二氧化碳排放系数等因素对城市交通碳排放的影响，并建立了城市交通系统碳排放估算模型；通过充分分析城市交通碳排放影响因素，确定了评价指标，建立了城市交通低碳发展水平评价指标体系，在对城市交通低碳发展水平评价指标体系进行评价分析时，本研究用层次分析法来确定各评价指标的权重，，并利用云物理论对城市交通低碳发展水平进行综合评价。以合肥市为例，对合肥市小汽车、出租车、公交车的年二氧化碳排放量进行了估算，并对合肥市交通低碳发展水平进行了综合评价。
[Abstract]:With the rapid development of social economy in China, the demand for urban transportation is increasing, and the energy consumption and greenhouse gas emissions of urban transportation are also increasing year by year. Energy shortage and environmental deterioration seriously restrict the development of human society. In this situation, transportation energy conservation and emission reduction is imperative. This paper focuses on two main aspects: carbon emission of urban transportation system and evaluation of development level of urban transportation system. On the basis of extensive investigation and literature reading, this paper summarizes the present situation of urban low-carbon transport development and the concept of low-carbon transportation at home and abroad, and analyzes the factors affecting the carbon emissions of urban traffic. The effects of the factors such as the total travel amount of urban residents, the sharing rate of transportation mode, the average travel distance and the carbon dioxide emission coefficient on the carbon emissions of urban traffic are summarized, and a model for estimating the carbon emissions of urban transportation system is established. By fully analyzing the influencing factors of urban traffic carbon emissions, the evaluation index is determined, and the evaluation index system of urban traffic low carbon development level is established. When the evaluation index system of urban traffic low carbon development level is evaluated and analyzed, In this study, AHP was used to determine the weight of each evaluation index, and the cloud theory was used to evaluate the low carbon development level of urban traffic. Taking Hefei as an example, the annual carbon dioxide emissions of cars, taxis and buses in Hefei are estimated, and the development level of low-carbon traffic in Hefei is comprehensively evaluated.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491;X82

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