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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/110076


    題名: 貨櫃陸運溫室氣體減量策略之有效性評估;貨櫃陸運溫室氣體減量策略之有效性評估
    作者: 蕭名財;HSIAO, MING-TSAI
    貢獻者: 永續去碳科技碩士學位學程
    關鍵詞: 貨櫃陸運;溫室氣體排放;減碳策略;物流減碳;供應鏈碳管理;Scope 3;GLEC Framework;ISO 14083
    日期: 2026-07-15
    上傳時間: 2026-10-20 15:12:50 (UTC+8)
    出版者: 國立中央大學
    摘要: 隨著全球淨零排放政策推動、供應鏈低碳轉型及企業永續治理要求日益提升,物流運輸已成為企業溫室氣體管理的重要環節。其中,貨櫃陸運因高度依賴柴油車輛,且普遍存在裝載率不足、空車回送比例偏高、交通壅塞及怠速等待等營運問題,使其成為供應鏈中重要的溫室氣體排放來源。近年來,歐盟碳邊境調整機制(CBAM)、企業 Scope 3 排放揭露要求,以及我國「2050淨零排放路徑及策略總說明」等政策相繼推動,使貨櫃陸運減碳不僅關係物流業者營運效率,更直接影響企業供應鏈碳管理與國際競爭力。因此,如何建立具一致性、可比較性與可操作性的減碳策略評估方法,已成為物流運輸永續發展的重要課題。
    本研究以貨櫃陸運為研究對象,旨在分析貨櫃陸運之主要排放來源與影響因素,比較不同減碳策略之減量效果與實施可行性,並建構一套適用於貨櫃陸運之溫室氣體減量策略有效性評估架構,以提供物流業者、製造業及政府部門於供應鏈碳管理與減碳決策之參考。
    研究方法首先透過文獻回顧,整理國際主要溫室氣體量化標準與運輸排放計算方法,包括 IPCC Guidelines、GHG Protocol、GLEC Framework、ISO 14083及相關物流減碳文獻,歸納貨櫃陸運排放來源、量化方法及減碳策略。其次,建立以活動數據、排放係數及全球暖化潛勢值(GWP)為基礎之排放量計算模型,並採用 Tank-to-Wheel(TTW)作為系統邊界,以 gCO₂e/ton-km 及 gCO₂e/TEU-km 為功能單位,提升不同策略間之可比較性。同時導入資料品質指標(Data Quality Indicator, DQI)、敏感度分析及不確定度分析,以檢驗模型之穩健性與可信度。
    本研究顯示,裝載率不足、空車回送及車輛怠速等待為影響貨櫃陸運排放強度之主要因素。其中,營運改善策略如提升裝載率、降低空車率、路線最佳化及Eco-driving等措施,具有投資成本較低、短期導入容易及減碳效益明顯等優勢;相較之下,電動貨櫃車、氫能車及多式聯運等技術與系統轉型策略,雖具較高之長期減碳潛力,但仍受限於基礎設施建置、能源供應及投資成本等因素。分析結果顯示,提升裝載率約可降低10%至30%之單位運輸排放,降低空車率約可減少5%至20%,路線最佳化及Eco-driving約可降低5%至15%;而車輛電動化及多式聯運等策略,長期減碳潛力可達40%至70%以上。
    敏感度分析結果指出,裝載率、空車率及燃油效率為影響排放結果最重要之關鍵參數,其中裝載率變動對排放強度影響最為顯著;不確定度分析則顯示,在合理之活動數據變異範圍內,研究所建立之排放量化模式仍具有良好穩健性,顯示本研究所建構之評估架構具備實務應用與推廣價值。
    本研究之主要貢獻,在於整合國際溫室氣體量化標準及物流運輸管理方法,建立一套適用於貨櫃陸運之減碳策略有效性評估架構,使不同減碳措施能於一致之功能單位、系統邊界及排放量化方法下進行比較。此外,本研究進一步將物流減碳成果連結至企業 Scope 3 供應鏈碳管理,強化減碳績效歸屬與資訊揭露之應用價值,可作為物流業者規劃減碳策略、企業推動供應鏈碳管理,以及政府制定低碳物流政策之重要參考,亦可作為後續相關研究發展之基礎。

    關鍵字:貨櫃陸運、溫室氣體排放、減碳策略、Scope 3、GLEC Framework、ISO 14083、物流減碳、供應鏈碳管理;With the advancement of global net-zero emissions policies, the low-carbon transformation of supply chains, and increasing demands for corporate sustainability, logistics and transportation have become a crucial link in corporate greenhouse gas management. Containerized land transportation, heavily reliant on diesel vehicles and plagued by issues such as underloading, high rates of empty return trips, traffic congestion, and idling, has become a significant source of greenhouse gas emissions in the supply chain. In recent years, the EU′s Carbon Border Adjustment Mechanism (CBAM), the Corporate Scope 3 emissions disclosure requirements, and Taiwan′s 2050 Net-Zero Emissions Pathway and Strategy Overview have all contributed to the development of policies that have made carbon reduction in containerized land transportation not only crucial for logistics operators′ operational efficiency but also directly impact corporate supply chain carbon management and international competitiveness. Therefore, establishing a consistent, comparable, and actionable methodology for evaluating carbon reduction strategies has become a critical issue for the sustainable development of logistics and transportation.
    This study focuses on containerized land transportation, aiming to analyze its main emission sources and influencing factors, compare the reduction effects and feasibility of different carbon reduction strategies, and construct a framework for evaluating the effectiveness of greenhouse gas reduction strategies applicable to containerized land transportation. This framework will provide a reference for logistics operators, manufacturers, and government departments in supply chain carbon management and carbon reduction decision-making.
    Methodology: First, a literature review was conducted to compile major international greenhouse gas quantification standards and transportation emission calculation methods, including IPCC Guidelines, GHG Protocol, GLEC Framework, ISO 14083, and related logistics carbon reduction literature. The emission sources, quantification methods, and carbon reduction strategies for containerized land transportation were summarized. Second, an emission calculation model was established based on activity data, emission coefficients, and Global Warming Potential (GWP). Tank-to-Wheel (TTW) was used as the system boundary, with gCO₂e/ton-km and gCO₂e/TEU-km as functional units to enhance the comparability between different strategies. Simultaneously, Data Quality Indicator (DQI), sensitivity analysis, and uncertainty analysis were incorporated to verify the robustness and reliability of the model.
    This study shows that insufficient loading rate, empty vehicle return trips, and vehicle idling are the main factors affecting the emission intensity of containerized land transportation. Among these, operational improvement strategies such as increasing loading rate, reducing empty vehicle rate, route optimization, and Eco-driving have advantages such as lower investment costs, ease of short-term implementation, and significant carbon reduction benefits. In contrast, while technology and system transformation strategies such as electric container trucks, hydrogen-powered vehicles, and multimodal transport have higher long-term carbon reduction potential, they are still limited by factors such as infrastructure construction, energy supply, and investment costs. The analysis results show that increasing loading rate can reduce unit transport emissions by approximately 10% to 30%, reducing empty vehicle rate by approximately 5% to 20%, and route optimization and Eco-driving by approximately 5% to 15%; while strategies such as vehicle electrification and multimodal transport have a long-term carbon reduction potential of 40% to 70% or more.
    Sensitivity analysis results indicate that load factor, empty vehicle rate, and fuel efficiency are the most important key parameters affecting emissions results, with changes in load factor having the most significant impact on emission intensity. Uncertainty analysis shows that within a reasonable range of activity data variation, the emission quantification model established in this study maintains good robustness, demonstrating the practical application and promotion value of the assessment framework constructed in this study.
    The main contribution of this study lies in integrating international greenhouse gas quantification standards and logistics transportation management methods to establish a framework for evaluating the effectiveness of carbon reduction strategies applicable to land-based container transportation. This allows for comparison of different carbon reduction measures under consistent functional units, system boundaries, and emission quantification methods. Furthermore, this study further links logistics carbon reduction achievements to corporate Scope 3 supply chain carbon management, strengthening the application value of carbon reduction performance attribution and information disclosure. This can serve as an important reference for logistics companies planning carbon reduction strategies, enterprises promoting supply chain carbon management, and governments formulating low-carbon logistics policies, and can also serve as a foundation for subsequent related research development.

    Keywords: containerized land transportation, greenhouse gas emissions, carbon reduction strategies, Scope 3, GLEC Framework, ISO 14083, logistics carbon reduction, supply chain carbon management
    顯示於類別:[永續去碳科技碩/博士學位學程] 博碩士論文

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