Study on optimization of multimodal transportation path of Jiamusi grain considering cargo loss under low carbon policy

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Researchers can adopt the optimization model incorporating multiple cost components and policy scenarios.

🏢実務担当者:Logistics managers can use the findings to select low-carbon multimodal routes, especially containerized rail-water options.

🏛政策担当者:Policymakers can observe how carbon price levels and quota stringency affect modal shift and emissions.

高品質な穀物流通システムは穀物の需給バランスを保証する鍵であり、穀物輸送における温室効果ガス排出削減は政府と企業の関心事である。異なる低炭素政策と積載方式が穀物複合輸送経路の最適化に与える影響を明らかにするため、本論文は輸送費用、貨物損失費用、時間費用、炭素排出費用の最小化を目的とした低炭素穀物複合輸送経路最適化モデルを構築する。中国の主要穀物産地である佳木斯市を例に、発見的遺伝的アルゴリズムを用いてモデルを解き、「袋詰め、ばら積み、コンテナ化」の3つの積載方式における穀物の輸送計画に対する炭素税政策（CTP）、炭素排出権取引制度（ETS）政策、炭素オフセット政策（COP）の影響を探る。低炭素割当量、中炭素割当量、高炭素割当量のシナリオ下での炭素価格変動が意思決定に与える影響を分析し、ETS政策下での異なるコスト選好値が輸送意思決定に与える影響を研究する。ETS政策下では、各積載方式の最適輸送経路の総コストが最も低く、総コストは炭素税政策および炭素オフセット政策と比較して1%削減される。その中で、コンテナ化された鉄道-水路複合輸送計画は明らかなコストと環境面での優位性を持ち、総コストは袋詰めおよびばら積みと比較してそれぞれ42%と33%減少し、炭素排出量は両者と比較して27%減少する。時間枠の全体的な緩和に伴い、輸送計画は道路-鉄道複合輸送から鉄道-水路複合輸送へと転換される。さらに、炭素価格が人民元2/kgCO₂以上の場合、低炭素の鉄道-水路複合輸送への輸送転換を促進でき、ETS政策下の高炭素割当量は企業のコスト削減と効率向上の実現を動機付けることができる。本研究の知見は、穀物輸送企業が複合輸送計画を策定する際の参考を提供し、政府が低炭素政策を策定する際の理論的支援を提供できる。

AI 翻訳（deepseek-v4-flash）。 正確を期す場合は下の原文を参照してください。

A high-quality grain distribution system is the key to guarantee the balance of grain supply and demand, and the reduction of greenhouse gas emissions in grain transportation is the concern of the government and enterprises. In order to clarify the influence of different low-carbon policies and loading modes on the optimization of grain multimodal transport paths, this paper constructs a low-carbon grain multimodal transport path optimization model with the objective of minimizing transportation, cargo loss, time and carbon emission costs. Taking Jiamusi City, the main grain producing area in China, as an example, a heuristic genetic algorithm is used to solve the model to explore the impacts of carbon tax policy (CTP), carbon emission trading scheme (ETS) policy and carbon offset policy (COP) on the transportation schemes of grain in three loading modes, namely, “bagged, bulk and containerized”. We analyze the effects of carbon price fluctuations on decision-making under low carbon quota, medium carbon quota and high carbon quota scenarios, and study the effects of different cost preference values on transportation decision-making under the ETS policy. Under the ETS policy, the optimal transportation path of each loading mode has the lowest total cost, and the total cost is reduced by 1% compared with that of carbon tax and carbon offset policy. Among them, the containerized rail-water intermodal transportation scheme has obvious cost and environmental advantages, with the total cost decreasing by 42% and 33% compared to bag and bulk, and the carbon emission decreasing by 27% compared to both. With the overall relaxation of the time window, the transportation scheme is transformed from road-rail intermodal transportation to rail-water intermodal transportation. In addition, when the carbon price is RMB 2/kgCO\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_2$$\end{document} and above, it can promote the transportation transition to low-carbon rail-water intermodal transportation, and the high carbon quota under the ETS policy can motivate enterprises to realize cost reduction and efficiency. The findings of the study can provide reference for grain transportation enterprises to formulate multimodal transportation solutions and provide theoretical support for the government to formulate low-carbon policies.

• semanticscholar https://www.nature.com/articles/s41598-025-26068-z.pdffirst seen 2026-05-15 17:03:56 · last seen 2026-08-12 05:15:29