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作 者:彭宇婷 PENG Yuting(Zhejiang Transportation Science Study Institute,Hangzhou Zhejiang 310000,China)
机构地区:[1]浙江省交通运输科学研究院,浙江杭州310000
出 处:《交通节能与环保》2024年第4期183-186,共4页Transport Energy Conservation & Environmental Protection
基 金:浙江省交通运输厅科技计划项目(202205)。
摘 要:高速公路服务区属于交通领域高耗能、高排放公共建筑。本文针对服务区碳排放最大的运营阶段,构建了碳排放测算模型和碳排放影响因素模型,依托浙江省30对服务区的调研数据,测算服务区运营阶段碳排放及其影响因素的灰色关联度,并提出服务区低碳运营的建议。结果显示:服务区碳排放主要影响因素灰色关联度按大小排序为:数字化水平>绿电使用量>绿地面积>组织管理情况,且均大于0.7,说明这些因素对服务区低碳运营具有较强影响。Expressway service areas are public buildings that consume high amounts of energy and emit large amounts of greenhouse gases in the transportation sector.This paper develops a carbon emissions calculation model and a model of factors that influence carbon emissions during the operation stage of expressway service areas,which is the stage with the highest emissions.Based on survey data from 30 service areas in Zhejiang Province,this study examines the carbon emissions during the operation stage of service areas,analyzes the grey correlation degree between each influencing factor and carbon emissions,and proposes suggestions for low-carbon operation in service areas.The research results show that the grey correlation degree of the main influencing factors on carbon emission in the service area is as follows:digital level>greenelectricity usage>green space area>organization and management,all of which are greater than 0.7,which has a strong impact on low-carbon operation in the service area.
关 键 词:交通碳排放 高速公路服务区 排放系数法 灰色关联分析 低碳运营
分 类 号:U412.366[交通运输工程—道路与铁道工程]
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