Greenhouse gas accounting in urban digital twins
都市デジタルツインにおける温室効果ガス会計 (AI 翻訳)
Kimmo Lylykangas, Fabian Dembski, Anssi Joutsiniemi, Jukka Heinonen
🤖 gxceed AI 要約
日本語
本論文は、都市デジタルツイン（DT）を用いた空間的な温室効果ガス（GHG）会計の可能性を探る。先進都市の事例調査から、現在GHGインベントリとDTは分離して運用されているが、DTを活用することで空間分解能の高い排出量計算や地域間比較が可能になり、政策立案の透明性と解釈性が向上することを示す。メタデータの体系化と排出配分原則の区別が鍵となる。
English
This study investigates the use of urban digital twins (DTs) for subnational spatial greenhouse gas (GHG) accounting. Interviews and case studies from frontrunner cities reveal that current GHG inventories and DT initiatives are largely disconnected. However, DTs offer untapped potential to address limitations of conventional methods by providing georeferenced, disaggregated emission calculations and spatiotemporal representations. Systematic metadata attribution and clear allocation principles are critical to realizing this potential, enhancing transparency and policy relevance.
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
日本では多くの自治体が2050年カーボンニュートラル目標を掲げ、スマートシティやデジタルツインの実証が進む。本論文は、こうしたDTをGHGインベントリに活用する具体的な方法論を提示しており、地方自治体の脱炭素施策の精度向上に貢献する。
In the global GX context
Globally, the push for transparent and granular climate data is intensifying, with frameworks like IPCC guidelines and the Global Covenant of Mayors for Climate and Energy requiring robust subnational inventories. This paper demonstrates how urban digital twins can bridge the gap between technology and climate accounting, offering a replicable methodology that strengthens the evidence base for local climate action and supports the growing demand for spatial data in ESG and transition finance contexts.
👥 読者別の含意
🔬研究者:Provides a methodological framework for integrating digital twins with GHG accounting, opening avenues for further research on data interoperability and spatiotemporal emission modeling.
🏢実務担当者:City sustainability officers can use the case studies and metadata recommendations to improve their own local GHG inventories and leverage existing digital twin investments.
🏛政策担当者:Highlights the potential of digital twins to enhance transparency and comparability of subnational emissions data, supporting more targeted and verifiable climate policies.
📄 Abstract（原文）
Abstract As current efforts remain insufficient to limit global warming to 1.5 °C, increasing expectations are placed on emerging technologies such as urban and national digital twins (DTs). Their number and spatial coverage are rapidly expanding, alongside a growing diversity of exploratory use cases. While the literature highlights their potential across multiple domains, a knowledge gap persists regarding their methodological application to subnational spatial greenhouse gas accounting, a key evidence base for local climate action. This study applies a multi-method approach to examine how frontrunner cities utilise DTs in greenhouse gas inventories and to assess their potential for spatial subnational greenhouse gas accounting. Interview findings indicate that greenhouse gas inventories and urban DT initiatives are largely pursued as disconnected efforts within cities. Five case studies demonstrate significant untapped potential beyond current inventory practices. DTs can help address limitations and biases in existing approaches by providing complementary insights into local emission patterns across regions, cities, and rural municipalities. Realising this potential requires systematic metadata attribution to distinguish between various emissions allocation principles, enabling georeferenced, disaggregated calculations and spatiotemporal representation of results. These methodological advances substantially enhance the interpretability, transparency, and policy relevance of subnational greenhouse gas inventories.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1088/2634-4505/ae5a57first seen 2026-05-05 19:38:55
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。