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ネットゼロ建設のための人工知能：複製データとコード

Replication data and code for: Artificial Intelligence for Net-Zero Construction (Frontiers in Sustainability) (原題)

Sornoza Parrales, Diego, Pincay Pilay, Mercedes Marcela, Castro Chilán, Dayana Michelle, González Regalado, Marlon

Zenodoデータセット2026-08-29#AI×ESG対象セクター: construction
DOI: 10.5281/zenodo.22162961
原典: https://zenodo.org/records/22162961

🤖 gxceed AI 要約

日本語

本リポジトリは、AEC産業におけるAIとネットゼロ建設に関する書誌計量レビューの分析コーパスとR再現スクリプトを提供する。ScopusとWeb of Scienceから517件の文献を収集し、テーママッピングや進化分析を通じて研究の全体像と新興方向性を明らかにする。

English

This repository provides the analytical corpus and R replication script for a bibliometric review of AI for net-zero construction in the AEC industry. It includes 517 documents from Scopus and Web of Science, with thematic mapping and evolution analysis to reveal research trends and emerging directions.

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

日本の建設業はカーボンニュートラル達成に向けAI活用が期待されており、本レビューは研究動向の俯瞰を提供する。SSBJ開示やサプライチェーン排出削減の文脈で、建設分野の技術開発・投資判断に示唆を与える。

In the global GX context

This bibliometric review maps the intersection of AI and net-zero construction, offering a global landscape of research themes and gaps. It supports international efforts in sustainable construction and informs stakeholders on emerging technologies and collaboration networks.

👥 読者別の含意

🔬研究者:Provides a comprehensive map of AI applications in net-zero construction, highlighting research gaps and thematic clusters.

🏢実務担当者:Identifies key AI technologies and research directions that can inform corporate sustainability strategies in construction.

🏛政策担当者:Offers evidence on the state of AI research for net-zero construction, useful for shaping innovation and climate policies.

📄 Abstract（原文）

This repository contains the analytical corpus and R replication script supporting the bibliometric review "Artificial Intelligence for Net-Zero Construction: A Bibliometric Mapping of Research Landscape, Thematic Clusters and Emerging Directions Across the AEC Industry" (submitted to Frontiers in Sustainability, Manuscript ID 1958541). The corpus (n = 517 documents) was assembled from Scopus and Web of Science Core Collection (2017–2026, retrieved 26 May 2026) following a PRISMA-inspired identification and selection protocol, with three retracted records excluded from the original n = 520 search result. replication_script.R reproduces all descriptive statistics, tables, and figures reported in the manuscript using the bibliometrix R package, including annual production trends, Bradford's Law journal core analysis, author productivity (Lotka's Law), collaboration networks, country-level production, keyword co-occurrence analysis, thematic mapping (Callon centrality-density), and thematic evolution across three periods (2017–2020, 2021–2022, 2023–2026).

🔗 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。