智能低碳货运交通：比较分析
Smart Low-Carbon Freight Transport: A Comparative Analysis
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中文总结 AI 辅助
针对最后一英里物流的低碳运输，基于环境与运营指标比较不同模式，并结合物联网和AI技术，以提升货运效率与可持续性。
中文摘要 AI 辅助
货运交通的脱碳是一项重大挑战，尤其是在最后一英里配送需求不断增长的背景下。本文聚焦于最后一英里物流的低碳运输模式，并基于环境和运营绩效指标进行了比较分析。评估突出了不同配送模式在排放上的差异，以及距离和交通状况等因素的影响。此外，本文还讨论了新兴技术的作用，强调了物联网和人工智能如何支持实时监控与决策。研究结果强调了将低碳运输解决方案与数据驱动方法相结合，以提高货运运营效率和可持续性的重要性。
英文摘要
The decarbonization of freight transport is a major challenge, particularly with the growing demand for last-mile delivery. This paper focuses on low-carbon transport modes for last-mile logistics and presents a comparative analysis based on environmental and operational performance indicators. The evaluation highlights differences in emissions across delivery modes and the impact of factors such as distance and traffic conditions. In addition, the role of emerging technologies is discussed, emphasizing how IoT and AI can support real-time monitoring and decision-making. The results underline the importance of combining low-carbon transport solutions with data-driven approaches to improve both efficiency and sustainability in freight operations.
