Assessment of the Shipping decarbonization along the Maritime Silk Road
海上シルクロードに沿った海運脱炭素化の評価 (AI 翻訳)
MING WANG
🤖 gxceed AI 要約
日本語
本論文は、海上シルクロードにおける海運脱炭素化を評価するMATLAB解析スクリプトを提供する。船舶クラス別の運航、燃料使用、排出量、GLH需要、コスト推計をカバーし、複数の可視化機能を備える。主な入力は港・国・船舶データ、貿易需要行列、航路距離行列である。出力は運航回数、ポートコール、排出量、インフラ投資結果など。
English
This paper provides a MATLAB analysis script for assessing shipping decarbonization along the Maritime Silk Road. It covers fleet organization by ship class (container, bulk, liquid), annual trips, fuel use, emissions, GLH demand, and cost estimation. Inputs include port, country, and ship data, trade demand matrices, and route distances. Outputs include trip counts, port calls, emissions, and infrastructure investment results.
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
日本は海上シルクロードの主要な貿易相手国であり、本ツールは日本企業の海運脱炭素化戦略立案に活用可能。特にGLH（グリーン液体水素）導入コスト評価は、日本の水素政策とも連動する。
In the global GX context
The Maritime Silk Road is a key global trade route. This tool offers a practical method for shipping companies and policymakers to evaluate decarbonization scenarios, including the use of green liquid hydrogen (GLH). It aligns with IMO's greenhouse gas reduction targets.
👥 読者別の含意
🔬研究者:Researchers can use the MATLAB script to model shipping emissions and fuel transition scenarios along specific routes.
🏢実務担当者:Shipping companies can assess retrofitting costs and fuel switching options for fleet decarbonization.
🏛政策担当者:Policymakers can evaluate infrastructure investments needed for alternative fuels like GLH along strategic trade corridors.
📄 Abstract（原文）
Assessment of the Shipping decarbonization along the Maritime Silk RoadOverview<code>SolutionMethodMultiShipCode.m</code> is a MATLAB analysis script for Silk Road shipping decarbonization studies. It covers:fleet organization by ship class (container, bulk, liquid)annual trips and port callsfuel use, emissions, and GLH demand allocationcost estimation (fuel, GLH, retrofitting, and port infrastructure)multiple visualization sections (bar, pie, contour, and distribution plots)Main Inputs (in script context)Port, country, and ship information tables (e.g., <code>PortInf</code>, <code>CountryInf</code>, <code>ShipInf</code>)Trade demand matrices (e.g., container, coal, iron ore, crude oil, LNG, LPG)Route distance matrix and related coefficientsExternal Excel data files referenced by the scriptMain OutputsCalculated trip counts, port calls, fleet size, emissions, and GLH allocationPort-level infrastructure sizing and investment resultsOptional shapefiles and figures generated by visualization sections
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.6084/m9.figshare.32797035.v1first seen 2026-06-29 05:40:48 · last seen 2026-06-29 05:40:52
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。