A Study on the Interaction Among Urban Transport Carbon Emissions, Economy, and Transportation System in Shanghai Based on Coupled Coordination and Decoupling Models
結合協調度とデカップリングモデルに基づく上海市の都市交通炭素排出、経済、交通システム間の相互作用に関する研究 (AI 翻訳)
Xinyue Liu, Shiguo Deng
🤖 gxceed AI 要約
日本語
本研究は、結合協調度モデル、Tapioデカップリングモデル、一般化Divisia指数法を統合し、2000～2023年の上海市における都市交通、経済成長、炭素排出の動的相互作用を分析。3システムの協調度は初期不均衡から高水準協調へと進化し、近年は経済成長と炭素排出の間で顕著なデカップリングが達成された。経済と交通の相互作用が排出削減に一貫して寄与していることが示され、統合的アプローチの重要性が示唆された。
English
This study integrates a coupling coordination model, Tapio decoupling model, and Generalized Divisia Index Method to analyze the dynamic interactions among urban transport, economic growth, and carbon emissions in Shanghai from 2000 to 2023. The coordination degree evolved from initial imbalance to high-level coordination, with significant decoupling between economic growth and carbon emissions in recent years. The interaction between economy and transport consistently contributed to emission reduction, highlighting the need for an integrated policy approach.
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
日本の都市交通脱炭素政策（例：東京都のゼロエミッション東京戦略）において、経済成長と交通システムの協調的発展を評価する枠組みとして参考になる。ただし、上海のデータに基づくため、日本の都市構造や政策との違いに留意が必要。
In the global GX context
This paper provides a methodological framework for assessing the synergy between urban transport decarbonization and economic growth, relevant for global megacities pursuing carbon neutrality. The integrated use of coupling coordination and decoupling models offers a template for evaluating policy effectiveness in urban transport systems.
👥 読者別の含意
🔬研究者:Offers a novel integrated framework (TCCDM, Tapio, GDIM) for analyzing transport-emissions-economy interactions, applicable to other megacities.
🏢実務担当者:Provides evidence that synergistic policies between transport and economy can enhance emission reductions, useful for urban sustainability planning.
🏛政策担当者:Highlights the need for integrated policies that align green transport transformation with economic development to achieve carbon neutrality.
📄 Abstract（原文）
This study constructs an integrated analytical framework combining a Tripartite Coupling Coordination Degree Model (TCCDM), the Tapio decoupling model, and the Generalized Divisia Index Method (GDIM) to investigate the dynamic interactions and driving mechanisms among urban transportation, economic growth, and carbon emissions in Shanghai from 2000 to 2023. The results indicate that the coordination degree among the three systems evolves through three distinct phases: initial imbalance, critical transition, and high-level coordination. A three-dimensional phase diagram further reveals a marked shift from a “low-development, high-emission” pattern toward a balanced, high-quality development trajectory. Decoupling analysis demonstrates that economic growth and carbon emissions, as well as transport development and carbon emissions, have achieved significant decoupling in recent years. However, an expansive negative decoupling between economic growth and transportation highlights emerging challenges in sustaining synergistic development. Decomposition via GDIM shows that the interaction between economic development and transportation has consistently contributed to emission reduction, often exceeding the independent effects of either system. These findings underscore the role of systemic synergy in driving the nonlinear low-carbon transition of megacities. Consequently, policy interventions should adopt an integrated approach that fosters deep collaboration between green transportation transformation and high-quality economic development to effectively achieve carbon neutrality goals.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18083745first seen 2026-05-05 19:12:28
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