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都市道路交通におけるCO2と大気汚染物質の協調削減のための政策経路:中国鄭州市の事例研究

Policy Pathways for Coordinated CO2 and Air Pollutant Reductions in Urban Road Transport: A Case Study of Zhengzhou, China (原題)

Zhangsen Dong, Xiao Li, Ruixin Xu, Shenbo Wang, Fei Yu

Atmosphere📚 査読済 / ジャーナル2026-08-18#エネルギー転換Origin: CN対象セクター: transport
DOI: 10.3390/atmos17080790
原典: https://doi.org/10.3390/atmos17080790

🤖 gxceed AI 要約

日本語

鄭州市の道路交通を対象に、CO2と大気汚染物質の統合評価フレームワークを構築。LEAPシナリオ分析により、二重炭素シナリオでは2030年に排出量がピークアウトし、既存政策比で20%削減可能と示した。EV普及とグリーン交通がCO2削減に有効で、充電インフラ需要も定量化。

English

This study develops an integrated framework combining emission inventories, LEAP scenario modeling, and charging demand estimation for Zhengzhou's road transport. Under the dual carbon scenario, CO2 peaks in 2030 at 36 Mt, 20% below the existing policy scenario. EV promotion and green transport contribute 42% and 32% of mitigation, requiring 610,000 charging piles by 2030.

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

日本の都市交通政策やSSBJに基づくScope 1・2排出削減計画策定に示唆を与える。特に、EV普及と充電インフラ整備の連携評価は、自治体の脱炭素ロードマップに参考となる。

In the global GX context

This Chinese city-level case offers a replicable framework for integrated climate-air quality policy assessment, relevant to global cities facing similar transport decarbonization challenges. It demonstrates how to align vehicle technology, infrastructure, and emission control policies, informing ISSB-aligned transition planning.

👥 読者別の含意

🔬研究者:Provides a comprehensive city-level framework integrating emissions, policy scenarios, and infrastructure needs, useful for urban decarbonization research.

🏢実務担当者:Offers insights into EV promotion and charging infrastructure planning that can inform corporate fleet electrification strategies.

🏛政策担当者:Demonstrates how coordinated policies can achieve co-benefits for climate and air quality, supporting city-level carbon peaking strategies.

📄 Abstract(原文)

Urban road transport policies must simultaneously address climate mitigation, local air quality, and the infrastructure requirements associated with vehicle electrification. However, these dimensions are rarely evaluated within a unified city-level framework. This study develops an integrated assessment framework that combines a bottom-up co-source inventory of CO2 and seven air pollutants, Long-range Energy Alternatives Planning (LEAP)-based scenario modeling, policy contribution analysis, elasticity-based co-benefit assessment, and electric vehicle charging demand estimation for Zhengzhou, China. In 2022, the road transport sector consumed 10,178 ktce of energy and emitted 27.8 Mt of CO2. Private cars contributed 66.7% of CO2 emissions, whereas heavy- and medium-duty trucks and light-duty trucks contributed 48.1% and 27.9% of NOx emissions, respectively, collectively accounting for 76.0% of the total. Under the existing policy scenario (EPS), CO2 emissions increase to 45 Mt in 2030 and 55 Mt in 2040. Under the dual carbon scenario (DCS), emissions peak at approximately 36 Mt in 2030 and decline to 32 Mt by 2040, representing reductions of 20% and 42% relative to the EPS, respectively. Electric vehicle promotion and green transport development contribute 42% and 32% of peak-year CO2 mitigation. Policy effectiveness differs across emission types. Electric vehicle promotion and green public transport are relatively more effective for CO2 mitigation, whereas old vehicle retirement, motorcycle phase-out, light-truck electrification, and tighter emission standards provide greater air pollutant reduction benefits. Supporting an electric vehicle stock of approximately 1.22 million in 2030 would require about 610,000 charging piles at a vehicle-to-charger ratio of 2:1. The principal contribution of this study is to demonstrate how complementary vehicle technology, transport structure, emission control, power sector, and infrastructure policies can be combined to support city-level carbon peaking and air pollution co-control.

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