摘要
为了探究居民特征对居民通勤碳排放分布的影响,对西安市不同类型的8个社区进行了居民出行调查。通过计算居民的通勤碳排放和统计各类居民个人特征,分析了各社区内产生通勤碳排放较高的居民组成。研究结果表明：本科学历、公司职员、41~50岁是最可能产生高碳排放的居民特征,但在不同类型的社区中分布情况有明显差异;同类型的社区,距离市中心越远,居民越可能产生高碳排放,但高碳排群体的特征与社区位置无关;不同类型社区对应不同类型的居民群体,而具有相似特征的居民的出行选择也较为相近,使得碳排放的分布与居民特征密切相关。
In order to discover the influence of residents′ features on commuting carbon emissions, atravel survey aiming at 8 communities of different types was performed. Residents′ commuting carbonemissions were calculated, and individual features were classified to analyze characters of high carbonemission residents. The results show that bachelor degree, company employee, and 41 to 50 years old arefeatures of residents who have the highest possibilities to produce high commuting carbon emissions,while their distribution in different types of communities have obvious difference. It′s found that amongthe communities of same type, the further it is from city center, the higher commuting carbon emissionsits residents may produce, while the features of high commuting carbon emissions group have nothing todo with community location. All the research indicates that different types of communities correspond todifferent types of residents, and residents with similar features make similar travel choices, which makesa close relationship between distribution of commuting carbon emissions and residents′ features.
出处
《交通运输研究》
2015年第5期44-53,共10页
Transport Research
基金
国家自然科学基金项目(51178055-E0807)
关键词
通勤出行
碳排放
社区
出行调查
统计分析
commuting travel
carbon emission
community
travel survey
statistical analysis
