ネットゼロ地区移行の順序付けのための専門家ベースの動的指標枠組み：台湾の専門家意見調査研究
An expert-based dynamic indicator framework for sequencing net-zero neighbourhood transitions: A Taiwan expert-elicitation study (原題)
Chia-Nung Li
🤖 gxceed AI 要約
日本語
本研究は、台湾のネットゼロ地区移行のための専門家ベースの指標枠組みを提案する。10名の専門家が20の指標を評価し、ファジーデルファイ法で12に絞り込んだ。2030年は建物改修と需要削減、2040年はエネルギー管理とモビリティ電化、2050年は参加と気候学習に重点が置かれる。数値は台湾の文脈に固有である。
English
This study proposes an expert-based indicator framework for net-zero neighbourhood transitions in Taiwan. Ten experts evaluated 20 indicators, narrowed to 12 via Fuzzy Delphi. Priorities shift from building retrofit (2030) to balanced energy/mobility (2040) to participation and climate learning (2050). Weights are context-specific to Taiwan.
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
日本のネットゼロ都市政策や地域脱炭素ロードマップに示唆を与える。特に、段階的な移行順序を専門家意見で構造化する手法は、日本の自治体や地域計画に応用可能。ただし、台湾固有の文脈に依存するため、日本での再調整が必要。
In the global GX context
This study contributes to global scholarship on net-zero transitions by offering a structured, expert-based method for sequencing neighbourhood-scale actions. It complements TCFD/ISSB frameworks by focusing on spatial and temporal planning, relevant for urban climate policy and transition finance.
👥 読者別の含意
🔬研究者:Provides a replicable method for expert-elicited indicator weighting in net-zero planning.
🏢実務担当者:Offers a transparent framework for local authorities to prioritize net-zero actions over time.
🏛政策担当者:Highlights the importance of sequencing policies for effective net-zero transitions.
📄 Abstract（原文）
Net-zero urban policy increasingly depends on neighbourhood-scale coordination of building retrofit, energy systems, mobility infrastructures and everyday practice. Existing indicator frameworks are often temporally flat and seldom distinguish observed performance from expert judgements about future strategic priorities. This study proposes and preliminarily tests an expert-based, scenario-conditioned indicator framework for net-zero neighbourhood transition in Taiwan. A purposive panel of 10 experts, selected for at least 10 years of relevant experience across urban planning, building energy, grid management, sustainable transport, environmental governance and community implementation, assessed an initial pool of 20 indicators. DPSIR coding structured causal roles, the Fuzzy Delphi Method screened the pool to 12 indicators, and a common network architecture was evaluated separately for the 2030, 2040 and 2050 scenario horizons. These horizons represent policy contexts rather than observed transition phases. The expert-derived results suggest a plausible sequence: 2030 priorities concentrate on building-stock repair and demand reduction; 2040 priorities become more balanced across energy management, mobility electrification and infrastructure coordination; and 2050 priorities place greater relative emphasis on participation, climate learning and resource-conscious practice. Domain aggregation gives 2030 weights of 0.36 for green building structure and 0.29 for energy-use efficiency, 2040 weights of 0.30 and 0.29 respectively, and a 2050 lifestyle/governance weight of 0.43. The pattern is interpreted as a structured transition hypothesis rather than a measured causal law. The framework offers a transparent basis for pilot testing, participatory validation and local recalibration, while its numerical weights remain specific to the Taiwan expert-elicitation context.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.indic.2026.101454first seen 2026-08-23 04:40:14
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