检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:张聪[1] 贾凤娇[1] ZHANG Cong;JIA Fengjiao(China Academy of Urban Planning and Design,Shanghai 200335,China)
机构地区:[1]中国城市规划设计研究院上海分院,上海200335
出 处:《交通与运输》2020年第3期76-79,共4页Traffic & Transportation
摘 要:为给我国城市交通节能减排提供一定依据,对国内不同等级城市交通碳排放特征进行了分析。基于我国五类七档城市规模划分标准,选取各档共20多个城市的居民出行调查数据,利用基于居民出行的城市交通碳排放计算模型进行了交通碳排放分析与峰值预测,并对各类改善措施进行量化效果评估。结果表明,城市规模、机动化程度、出行距离都与碳排放强度正相关,我国城市交通碳排放将在2022年左右达到峰值,发展公共交通、推广新能源交通工具、提高能源使用效率、降低出行距离等都具有较好的减排效果。In order to provide certain basis for energy conservation and emission reduction of urban traffic in China,this paper analyzes the characteristics of carbon emission of residents in different levels of cities in China.Based on the travel survey data of more than 20 cities,the traffic carbon emission analysis and peak prediction are carried out,and the quantitative effects of various improvement measures are evaluated.The results show that the city scale,the degree of motorization and the distance of travel are all positively related to the intensity of carbon emission,and the carbon emission of urban transportation in China will reach the peak in 2022.The development of public transportation,the promotion of new energy vehicles,the improvement of energy efficiency,and the reduction of travel distance have good emission reduction effect.
分 类 号:U491[交通运输工程—交通运输规划与管理]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.229