Urban building carbon emissions based on BIM-LCA-GIS

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:The paper provides a methodological framework combining BIM, LCA, and GIS for detailed building carbon accounting, useful for researchers focusing on construction sector decarbonization and urban carbon mapping.

🏢実務担当者:Construction firms and green building consultants can adopt this model to quantify lifecycle carbon emissions of prefabricated buildings, supporting ESG reporting and energy efficiency improvements.

🏛政策担当者:Policymakers can use the spatial carbon emission insights to design targeted building codes and incentives for low-carbon construction, especially in urban renewal projects.

中国の都市化プロセスと建築技術の継続的な進歩に伴い、従来の現場打設工法は、材料生産、建設プロセス、および関連する上流・下流の産業活動を含むライフサイクル全体を通じて発生する多大なエネルギー消費と炭素排出により、グリーンで健康的な発展の概念とますます相容れなくなっており、一方でプレハブ建築モデルの利点はこの文脈においてますます顕著になっている。プレハブ建築の詳細な炭素排出分析のニーズに対応するため、本論文はBuilding Information Modeling（BIM）、Life Cycle Assessment（LCA）、およびGeographic Information Systems（GIS）を統合した統合炭素排出分析モデルを開発し、このモデルを適用してプレハブ建築のライフサイクルの各段階における炭素排出の詳細な分析を行い、正確かつ具体的な炭素排出データを取得し、さらに投入産出分析と生態学的フットプリント分析という3つの分析方法を採用して、収集したデータに対して空間分析を実施する。具体的には、BIMモデルとLCAフレームワークを組み合わせて、異なる建築材料と構造部品がエネルギー効率と周辺環境に与える影響を定量化・評価し、3つの計算方法を用いて空間炭素排出分析を行う。この統合モデルは、プレハブ建築のライフサイクルの各段階における炭素排出の正確な定量化と詳細な分析を効果的に実現し、具体的かつ信頼性の高い炭素排出データを取得するとともに、空間分析を通じて炭素排出の空間分布特性と影響要因を明らかにする。したがって、本研究の成果は、将来の低炭素でエネルギー効率の高い建築慣行を促進し、低炭素建築の発展を推進するための取り組みに貴重な洞察と実践的な参考を提供するものであり、確立された統合分析モデルは単一手法による分析の限界を克服し、プレハブ建築の炭素排出分析の精度と包括性を向上させる。

AI 翻訳（deepseek-v4-flash）。 正確を期す場合は下の原文を参照してください。

With the continuous advancement of China’s urbanization process and building technologies, traditional cast-in-situ construction methods have become increasingly incompatible with the concepts of green and healthy development due to significant energy consumption and carbon emissions generated throughout their entire lifecycle, including material production, construction processes, and related upstream and downstream industrial activities, while the advantages of the prefabricated building model have become increasingly prominent in this context; to address the need for in-depth carbon emission analysis of prefabricated buildings, this paper develops an integrated carbon emission analysis model integrating Building Information Modeling (BIM), Life Cycle Assessment (LCA), and Geographic Information Systems (GIS), applies this model to conduct in-depth analysis of carbon emissions at each stage of the prefabricated building’s lifecycle to acquire accurate and specific carbon emission data, and adopts three analytical methods, input-output analysis, and ecological footprint analysis—to perform spatial analysis on the collected data, specifically combining BIM models with the LCA framework to quantify and assess the impacts of different building materials and structural components on energy efficiency and the surrounding environment and using the three computational methods for spatial carbon emission analysis; this integrated model effectively achieves accurate quantification and in-depth analysis of carbon emissions at each lifecycle stage of prefabricated buildings, obtaining specific and reliable carbon emission data and clarifying the spatial distribution characteristics and influencing factors of carbon emissions through spatial analysis; the research findings thus provide valuable insights and practical references for future initiatives to promote low carbon and energy efficient building practices and advance the development of low-carbon buildings, while the established integrated analysis model overcomes the limitations of single-method analysis and improves the accuracy and comprehensiveness of carbon emission analysis for prefabricated.

• semanticscholar https://doi.org/10.3389/fpubh.2026.1713246first seen 2026-06-29 06:31:47 · last seen 2026-08-09 05:49:32