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城市家庭日常出行氮排放影响因素分析--以杭州市为例
引用本文:吕越,陈忠清.城市家庭日常出行氮排放影响因素分析--以杭州市为例[J].浙江大学学报(理学版),2017,44(1):121-126.
作者姓名:吕越  陈忠清
作者单位:1. 绍兴文理学院 土木工程学院, 浙江 绍兴 312000;
2 绍兴文理学院 岩石力学与地质灾害实验中心, 浙江 绍兴 312000
基金项目:浙江省公益技术研究项目(2016C33052);绍兴市公益技术研究项目(2015B70034,2015B70035)
摘    要:基于2015年杭州"低氮城市家庭日常出行"调查问卷,选取家庭成员年龄、收入水平、受教育度、就业单位性质、户籍和汽车保有量等因素,通过相关和最优尺度回归分析,研究杭州市家庭成员属性对日常出行排氮量的影响.结果表明:(1)家庭成员属性对日常出行排氮量有影响:成员一和二均在31~50岁时排氮量最大,家庭月收入超过15 001元时排氮量陡增,成员二的受教育程度对排氮量的影响大于成员一,成员一和二的最大和最小排氮量对应的就业性质不同,杭州城市户口的排氮量是农村户口的2.6倍,有车家庭出行排氮量是无车家庭的16倍;(2)按对出行排氮量的影响大小排序,依次为:家庭汽车保有量、出行方式、成员二受教育度、就业单位、年龄等.

关 键 词:日常出行氮排放  影响因素  相关分析  回归分析  杭州  
收稿时间:2016-01-04

The influence factors of daily travel of urban families to nitrogen emission-A case study in Hangzhou city
LYU Yue,CHEN Zhongqing.The influence factors of daily travel of urban families to nitrogen emission-A case study in Hangzhou city[J].Journal of Zhejiang University(Sciences Edition),2017,44(1):121-126.
Authors:LYU Yue  CHEN Zhongqing
Institution:1. School of Civil Engineering, Shaoxing University, Shaoxing 312000, Zhejiang Province, China;
2. Centre of Rock Mechanics and Geological Disaster, Shaoxing University, Shaoxing 312000, Zhejiang Province, China
Abstract:A questionnaire of "How the daily travels of urban families affect the nitrogen emission in 2015" was carried out in Hangzhou, including factors related to family members' age, income, education, occupation, type of family households and family cars ownership. Methods of correlation analysis and optimal scaling regression analysis were used in this study. The results obtained are as follows:(1) all the attributes of the family members have impact on the amount of nitrogen emission in daily travel, e.g.,families with both members aged between 31-50 incur the largest amount compared with other ages, and when the family income was in 15 001-20 000 yuan or above, the amount increased dramatically, the education level of the second member affects the amount more than that of the first member, and the amount of nitrogen emission also depends significantly on the occupations of both members, Furthermore, the total amount of nitrogen emission of urban households accounts for 2.6 times compared with rural households, and that of families with cars accounts for 16 times than otherwise; (2) influence factors in a descending order are as follows:family cars ownership, transportation manner, educational level of the second member, occupation and family members' age, respectively. This study could provide a useful reference for the construction of urban with low nitrogen emission.
Keywords:nitrogen emission in daily travel  influence factors  correlation analysis  regression analysis  Hangzhou
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