中国都市鉄道の炭素ピーク：いつ、どのように ― 動的ライフサイクル評価
China's urban rail transit carbon peak: when and how – a dynamic life cycle assessment (原題)
Yixiang Huang, Zehan Xu, Junfeng Chen, Jihao Xia, Chongqing Cai, Wugang Huang, Xing Su
🤖 gxceed AI 要約
日本語
中国の都市鉄道（URT）部門を対象に、ライフサイクル全体のCO2排出量を評価し、2019〜2035年の排出経路をシナリオ別に投影した研究。COVID-19の影響で2020年は11%減となったが、2030年までの炭素ピーク達成には脱炭素技術の導入と強力な政策執行を伴う「野心的シナリオ」のみが有効と示す。上流データ統合と目標分解を組み合わせたマルチレベル枠組みを提案し、輸送効率を維持しつつ国家気候目標に沿うURTの持続可能性を支援する。
English
A dynamic life cycle assessment of China's urban rail transit (URT) sector projecting CO2 emissions from 2019 to 2035 under multiple scenarios. Only an ambitious scenario combining decarbonization technologies and strong policy enforcement achieves carbon peaking by 2030; COVID-19 caused an 11% drop in 2020. The authors propose a multi-level framework integrating upstream data and goal decomposition to support emission management aligned with national climate goals while maintaining transport efficiency.
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
中国の都市鉄道という巨大インフラの炭素ピーク経路をライフサイクルで定量化した点は、日本の鉄道事業者や都市計画担当者がScope 3を含むインフラ脱炭素を検討する際の参照事例となる。SSBJや有報での気候関連開示において、インフラのライフサイクル排出と政策シナリオを結びつける視点を提供する。
In the global GX context
This study offers a sector-specific, life-cycle-based pathway analysis for a hard-to-abate transport infrastructure, relevant to global disclosure frameworks (TCFD/ISSB) that increasingly demand Scope 3 and transition plan disclosures. It demonstrates how scenario modeling and policy enforcement interact to determine peak timing, informing transition finance and infrastructure decarbonization strategies beyond China.
👥 読者別の含意
🔬研究者:Life-cycle assessment and scenario modeling methods for transport infrastructure decarbonization pathways.
🏢実務担当者:Insights into Scope 3 emissions from rail infrastructure and the role of technology adoption in achieving peak targets.
🏛政策担当者:Evidence that ambitious policy enforcement and technology deployment are necessary for early carbon peaking in urban rail.
📄 Abstract（原文）
China's rapidly expanding urban rail transit (URT) system faces significant environmental challenges, particularly regarding the inflexibility and structural nature of passengers’ urban transportation demands. It is a key issue to assess the carbon peak timeline and related technological roadmap for carbon peaking in China’s URT sector. This study conducts a comprehensive life cycle assessment to evaluate carbon dioxide emissions across different URT life cycle phases. Through input factor identification and scenario modelling, the authors investigate critical factors affecting life cycle emissions and project emission data from 2019 to 2035. The analysis results suggest that there was an 11% reduction in emissions in 2020, which is attributed to the shifts in transportation demand induced by COVID-19. Among various development scenarios, only the ambitious scenario, which involves the adoption of decarbonisation technologies and robust policy enforcement, achieves carbon peaking by 2030. To support emission management, the authors propose a multi-level framework that combines upstream data integration with goal decomposition methodology. This framework is based on macro-level sectoral assessments and the development of technology-specific roadmaps, thereby supporting the sustainability of the URT system in line with China's national climate objectives while maintaining transportation efficiency.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1680/jensu.25.00095first seen 2026-11-08 05:12:04 · last seen 2026-11-13 05:23:59
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