Carbon emission policy impacts on cold-chain multimodal transport route optimization and costs
炭素排出政策がコールドチェーン複合一貫輸送のルート最適化とコストに与える影響 (AI 翻訳)
Haobo Zhang, Shengwen Yang, Tianyi Yang
🤖 gxceed AI 要約
日本語
本研究は、炭素制約下のコールドチェーン複合一貫輸送において、排出上限、炭素税、排出権取引、オフセットの5つの政策シナリオをモデル化し、ルート最適化を実施。遺伝的アルゴリズムを用いたケーススタディにより、炭素税やオフセットで排出量を約80%削減しつつ、コスト上昇を緩やかに抑えられることを示した。政策設計の定量的根拠を提供。
English
This study models cold-chain multimodal transport under five carbon policies: no constraint, mandatory cap, carbon tax, carbon trading, and carbon offset. Using a hybrid genetic algorithm-simulated annealing on a Chongqing-Shenyang fruit transport case, it finds that carbon tax and offset can cut emissions by about 80% with moderate cost increases, while strict caps sharply raise costs. Results support policy design and routing decisions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本でもコールドチェーン物流の脱炭素化が進む中、炭素価格付けの影響を定量的に示す本研究成果は、国内の政策設計や企業の輸送モード選択に示唆を与える。特に鉄道シフトによる排出削減ポテンシャルは、日本のモーダルシフト政策とも親和性が高い。
In the global GX context
Globally, this paper provides a comparative analysis of carbon policy instruments in a multimodal logistics context, showing the trade-offs between cost and emissions. It offers evidence for policymakers designing carbon pricing mechanisms and for logistics firms planning compliance strategies.
👥 読者別の含意
🔬研究者:Provides a modeling framework for carbon policy impacts on cold-chain logistics, useful for further studies on transport decarbonization.
🏢実務担当者:Logistics managers can use the quantitative results to anticipate cost impacts under different carbon policies and optimize routing toward lower emissions.
🏛政策担当者:Shows how carbon tax and offset can achieve large emission reductions with manageable cost increases, aiding policy instrument selection.
📄 Abstract（原文）
To address the cost pressures and emission-reduction requirements of cold-chain multimodal transport under carbonconstraints, this paper extends an existing transport network and integrated cost model by introducing five policyscenarios—no carbon constraint, mandatory emission cap, carbon tax, carbon trading, and carbon offset—andformulating the corresponding route-optimization models. A hybrid genetic algorithm-simulated annealing approach isused to solve a case of cold-chain fruit transport from Chongqing to Shenyang. Results show that, without carbonconstraints, the optimal scheme is road-dominated, with a total cost of about 276,828 CNY but high emissions. Under themandatory cap, carbon tax, and carbon offset scenarios, the optimal routes shift toward high-speed rail, cutting emissionsby roughly 80% at the expense of higher costs; an overly strict cap drives costs up sharply, whereas carbon tax and offsetpolicies achieve large emission reductions with only moderate cost increases. In the carbon trading scenario, both costand emissions are highly sensitive to the allowance cap and carbon price. Overall, appropriate setting of caps, tax rates,and offset/trading prices can balance economic feasibility and environmental goals, providing quantitative support forcarbon policy design and routing decisions in cold-chain multimodal transport.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1117/12.3111479first seen 2026-07-19 05:34:34
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