Assessment of the Highway Logistics on Carbon Footprint

Ülge Taş, Hümeyra BOLAKAR TOSUN
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Abstract

Developing the quality of the types of greenhouse gasses used within the global environment and reducing carbon emissions are recognized as the main of current logistic changes policies. The paper aims to evaluate the contribution of the impact of highway logistics activity, one of the most important causes of carbon dioxide emissions, on the carbon footprint of the Southern Central Anatolian provinces. In this context, multiple regression analyses were conducted in three locations in the Southern Central Anatolian (Antalya, Kayseri, Konya) involving a total of 12 monthly highway logistics activities and carbon emissions. Before analysis, summarized the status of all logistic activities in the study area and collected data related to carbon emission in these regions. However, the coupling relationship between carbon emissions and logistic conditions in regions was calculated by the regression model. The carbon footprint linked to logistics, for Antalya was 87% (R=0.87), for Kayseri was 94% (R=0.94), and for Konya was 63% (R=0.63). It can be seen that, in the multiple regression analysis, Kayseri has a higher carbon footprint than Antalya and Konya when an estimation of the quantile was carbon footprint. The main academic contribution of this study brings a new perspective to the future assessment of environmental policies and prepares a quantitative principle for the implementation of future carbon footprint policies.
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公路物流碳足迹评价
发展全球环境中使用的温室气体的质量和减少碳排放被认为是当前物流变化政策的主要内容。本文旨在评估公路物流活动对中南安纳托利亚省碳足迹的影响,公路物流活动是二氧化碳排放的最重要原因之一。在此背景下,在中南安纳托利亚的三个地点(安塔利亚、开塞利、科尼亚)进行了多元回归分析,涉及12个月的公路物流活动和碳排放。在分析之前,总结了研究区域内所有物流活动的现状,并收集了这些区域的碳排放相关数据。然而,通过回归模型计算了区域碳排放与logistic条件之间的耦合关系。与物流相关的碳足迹,安塔利亚为87% (R=0.87),开塞利为94% (R=0.94),科尼亚为63% (R=0.63)。可以看出,在多元回归分析中,当分位数为碳足迹时,开塞利的碳足迹高于安塔利亚和科尼亚。本研究的主要学术贡献是为未来环境政策的评估提供了新的视角,并为未来碳足迹政策的实施准备了量化原则。
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