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Coded evidence-map dataset and reproducibility package for "From Carbon Prediction to Integrated Carbon Decision Support: A PRISMA-Informed Evidence Map of AI and Computational Methods in the Built Environment"

「炭素予測から統合的炭素意思決定支援へ：建築環境におけるAI・計算手法のPRISMA準拠エビデンスマップ」のコード化エビデンスマップデータセットと再現パッケージ (AI 翻訳)

Mohammadi, Sepehr, Mostafa, Sherif, Jadidi, Zahra

Zenodoデータセット2026-08-10#AI×ESGOrigin: Global対象セクター: construction
DOI: 10.5281/zenodo.21868137
原典: https://zenodo.org/records/21868137

🤖 gxceed AI 要約

日本語

建築環境分野におけるAI・計算手法を用いた炭素関連研究の系統的エビデンスマップのデータセットと再現パッケージ。457件の監査済みデータベース（335件の一次研究、102件の全文コア）を6つのコード化ファセットで提供し、スクリーニング決定、信頼性評価、品質評価、再現スクリプトを含む。CC BY 4.0ライセンスで公開され、透明性と再現性を重視。

English

This is a coded dataset and reproducibility package for a PRISMA-informed evidence map of AI and computational methods for carbon decision support in the built environment. It includes a 457-record audited database (335 primary studies, 102 full-text core) with six coded facets, screening decisions, reliability instruments, quality appraisal, and regeneration scripts. The package is CC BY 4.0 licensed, emphasizing transparency and reproducibility.

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

日本の建設・不動産分野では、脱炭素に向けたAI活用のエビデンス整理が進んでおらず、本データセットは研究動向の俯瞰と今後の研究開発の優先順位付けに有用。SSBJ開示やサプライチェーン排出量算定におけるAI適用の可能性を探る基盤となる。

In the global GX context

Globally, this dataset supports evidence-based policy and research prioritization for AI in building decarbonization. It aligns with ISSB/CSRD disclosure trends by providing a structured overview of computational methods for carbon accounting and decision support, facilitating cross-study comparisons and reproducibility.

👥 読者別の含意

🔬研究者:Provides a comprehensive, audited dataset and reproducibility scripts for mapping AI methods in built-environment carbon research, enabling further meta-analyses and benchmarking.

🏢実務担当者:Offers a structured overview of AI applications for carbon decision support, helping identify relevant tools and methods for building decarbonization strategies.

🏛政策担当者:Supplies evidence on the state of AI in building carbon management, informing policy on technology adoption and research funding.

📄 Abstract（原文）

Coded dataset, screening decisions, reliability instruments and regeneration scripts behind the systematic evidence map "From Carbon Prediction to Integrated Carbon Decision Support: A PRISMA-Informed Evidence Map of AI and Computational Methods in the Built Environment" (January 2018 – May 2026). Contents: a 457-record audited database (335 primary studies, 102 full-text core) with six coded facets, record roles and machine-readable exclusion reasons; the screening worklists and per-record verdicts; the codebook; the blinded reliability instruments (screening re-screens, second coding, full-text provenance) with the author adjudications; the seven-dimension quality appraisal; and the scripts that regenerate the dataset, every reported count, the reliability statistics and all figures. SHA256SUMS.txt verifies the deposit, and regenerating the figures reproduces the archived bytes. See README.md for what regenerates what. The raw Scopus retrieval is not redistributed under Elsevier API terms, and no full-text PDFs are included. The CC BY 4.0 licence covers the authors' own coding, decisions, documentation and scripts; third-party bibliographic metadata and abstracts reproduced for audit purposes remain the property of their rights holders.

🔗 Provenance — このレコードを発見したソース

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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。