Transition to Decarbonization-Oriented Urban Planning: Exploring Simplified Estimation Methods for the Emission Reduction Effects of Residential Induction
脱炭素志向の都市計画への移行：住宅誘導による排出削減効果の簡易推計手法の探求 (AI 翻訳)
Chie Sato, Hirokazu Kato, Feifan Xu, Rita Dionisio
🤖 gxceed AI 要約
日本語
本研究は、コンパクトシティ政策による旅客交通からのCO2削減効果を簡易に推定する手法を提案。距離帯ベースの推定枠組みを導入し、データ要求を軽減しつつ空間特性を保持。豊橋市への適用例では、2022〜2050年の土地利用・交通施策目標達成シナリオで40%以上の削減を示した。計画段階でのエビデンスベースの政策立案を支援する。
English
This study proposes a simplified method to estimate CO2 emission reductions from passenger transport due to compact city measures. It introduces a distance-band-based estimation framework that reduces data requirements while retaining spatial characteristics. Applied to Toyohashi City, Japan, it shows over 40% reduction by 2050 under land use and transport targets. The method supports evidence-based urban planning for carbon neutrality.
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
日本のカーボンニュートラル目標達成には、都市計画と交通政策の統合が不可欠。特に自動車依存度の高い地方都市において、本手法は簡易な評価ツールとして自治体の政策立案に貢献する。SSBJ開示には直接関係しないが、地域レベルの脱炭素計画を支える基盤技術として重要。
In the global GX context
Globally, cities are key to decarbonization. This method provides a practical tool for urban planners to quickly assess emission reductions from compact city policies, supporting evidence-based decision-making. It is applicable to many car-dependent cities worldwide, contributing to urban sustainability and climate action.
👥 読者別の含意
🔬研究者:Urban planning and emission estimation researchers can use the distance-band framework for further methodological refinement.
🏢実務担当者:City planners can adopt this simplified method for rapid policy scenario assessment and integrated urban-transport planning.
🏛政策担当者:Local policymakers can use the tool to set evidence-based targets and evaluate the impact of land use and transport measures on CO2 reduction.
📄 Abstract（原文）
Urban areas, where diverse human activities take place, generate significant amounts of carbon dioxide. This study proposes a simplified method for estimating the reduction effects of carbon dioxide emissions from passenger transportation resulting from compact city measures, which are expected to contribute to reducing emissions in urban areas. In particular, this study contributes by introducing a distance-band-based estimation framework, enabling scenario-based analysis with reduced data requirements while retaining key spatial characteristics. This method enables planners to quickly assess whether the required CO2 reduction levels can be achieved under given policy settings, thereby supporting evidence-based policy formulation. As an example of how this method could be applied in the policy formulation stage, it was applied to Toyohashi City, which faces the challenge of car dependency, a common problem in many regional cities. It was demonstrated that the scenario assuming the achievement of the targets for land use and transport measures outlined in municipal plans from 2022 to 2050 could reduce carbon dioxide emissions by over 40%. This research supports integrated consideration of urban and transportation measures at the planning and policy formulation stages, contributing to highlighting pathways toward sustainable urban development aimed at achieving carbon neutrality.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3390/su18147162first seen 2026-07-14 05:19:26
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