中小城市家庭交通和饮食选择的碳排放差异--以山东省滨城区为例  

Study on carbon emission differences of urban households′transportation and diet choices in small and medium⁃sized cities:a case study of Bincheng District in Shandong Province

作　　者：宋子康 黄甘霖 SONG Zikang;HUANG Ganlin(School of Natural Resources,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China;Center for Human-Environment System Sustainability,State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,Beijing 100875,China)

机构地区：[1]北京师范大学地理科学学部自然资源学院,北京100875 [2]北京师范大学地表过程与资源生态国家重点实验室,人与环境系统可持续研究中心,北京100875

出　　处：《生态学报》2025年第3期1261-1274,共14页Acta Ecologica Sinica

基　　金：国家自然科学基金面上项目(42471315)。

摘　　要：工业化和人口增长导致人类活动大规模扩张,使得温室气体排放量大幅增加,由此带来了一系列亟待解决的环境问题。城市是我国碳排放的主体区域,而城市家庭则是城市碳排放的主要来源之一,因此城市家庭碳排放的研究对于节能减排有重要意义。我国现有研究大多忽略了中小型城市家庭尺度上的不同生活方式选择方面的碳排放差异。故本文对城市家庭之间极具日常性、差异性的交通出行和饮食方式选择所致碳排放作为研究内容,采用碳排放系数法、多元逐步回归和有序多分类Logistic回归等方法对滨城区城市家庭展开碳排放及作用机制研究。结果显示研究区城市家庭平均交通和饮食碳排放总量约为357.97 kgCO_(2)/月,其中交通出行与饮食方式碳排放量的比例关系约为4∶1。私家车、网约车、摩托车、公交车和电动车分别占交通出行碳排放量的92.72%、4.88%、1.83%、0.37%和0.19%,居家用餐、外食、外卖分别占饮食碳排放量的75.29%、19.71%和5%。分析发现,户主受教育水平、家庭收入和家庭规模共3个影响因素指标会对家庭交通和饮食碳排放造成显著影响,且各因素与碳排放量均呈正相关关系。上述3个影响因素通过影响家庭选择的方式作用于家庭交通和饮食碳排放,对其作用机制分析发现,户主受教育水平会对家庭购买私家车和外食、外卖频率造成影响,家庭收入会对网约车出行频率造成影响,而家庭规模则主要通过对交通和饮食活动的人均值造成影响。最终提出部分碳减排建议,对城市生态可持续和全民低碳行动的落实具有参考意义。Industrialization and population growth have led to a significant expansion of human activities,causing a substantial increase in greenhouse gas emissions and giving rise to a series of urgent environmental issues.Cities are the primary contributors to carbon emissions in China,and urban households constituting a major source.Therefore,studying the carbon emissions from urban households is crucial for energy conservation and emission reduction.Existing research in China often overlooks the carbon emission differences in lifestyle choices at the urban household scale in small and mediumsized cities.This paper focuses on the carbon emissions resulting from the everyday and diverse transportation and diet choices among urban households in the Bincheng District.The study employs methods such as the carbon emission coefficient approach,multiple stepwise regression,and ordinal logistic regression to investigate carbon emissions and their mechanisms.The results show that the average carbon emissions from transportation and diet patterns in urban households in the study area are approximately 357.97 kgCO_(2)/month,with a proportional relationship of about 4:1 between transportation and diet emissions.Private cars,ride⁃hailing services,motorcycles,buses,and electric bikes contribute 92.72%,4.88%,1.83%,0.37%,and 0.19%,respectively,to transportation⁃related carbon emissions.Home dining,eating out,and takeaway contribute 75.29%,19.71%,and 5% to dietary carbon emissions,respectively.The analysis reveals that the education level of the household head,family income,and household size are three influencing factors significantly impacting household transportation and diet carbon emissions.All factors show a positive correlation with carbon emissions.These factors influence carbon emissions by affecting household choices.The analysis further discovers that the education level of the household head influences the purchase of private cars and the frequency of dining out and ordering takeout.Family income affects the frequency of

关 键 词：城市家庭 碳排放 消费者生活方式方法 交通出行 饮食方式 

分 类 号：F42[经济管理—产业经济]