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Supplement to: Mapping Landscape Suitability for Wind Energy in Germany: An Interdisciplinary Approach Combining Local Acceptance and Spatial Conflict Risks

付録：ドイツにおける風力エネルギーの景観適性マッピング：地域受容性と空間的紛争リスクを組み合わせた学際的アプローチ (AI 翻訳)

Julia Offermann, Mona Frank, Barbara S. Zaunbrecher, Leon Schenke, Thorsten Reichartz, Ralf Schelenz, Martina Ziefle

Zenodo (CERN European Organization for Nuclear Research)データセット2026-05-06#再生可能エネルギーOrigin: EU
DOI: 10.5281/zenodo.19920941
原典: https://doi.org/10.5281/zenodo.19920941

🤖 gxceed AI 要約

日本語

本研究は、ドイツにおける風力発電の景観適性を評価する学際的フレームワークを提案。公開受容性、景観特性、技術経済的制約を考慮し、1014件のアンケートデータを用いて13の景観タイプごとの受容性と抗議可能性を実証的に分析。生態的補償措置の効果も検討。

English

This paper proposes an interdisciplinary framework for assessing landscape suitability for wind energy in Germany, integrating public acceptance, landscape characteristics, and techno-economic constraints. Using survey data (n=1014), it empirically evaluates perceived suitability and protest potential across 13 landscape types, and examines the effect of ecological compensation measures.

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

ドイツの風力発電適地選定において、地域住民の受容性を定量的に評価した点が重要。日本の再生可能エネルギー導入促進においても、同様の手法が応用可能であり、特に地域紛争の回避に寄与する。

In the global GX context

This study provides a replicable methodology for integrating social acceptance into spatial planning for renewable energy, which is critical for accelerating the energy transition globally. The empirical data on protest willingness and landscape suitability can inform similar siting decisions in other countries.

👥 読者別の含意

🔬研究者:Provides a validated survey instrument and empirical data on acceptance of wind energy across landscape types, useful for further research on social dimensions of energy transitions.

🏢実務担当者:Offers a framework to assess and map conflict risks for wind projects, helping developers and planners identify low-conflict areas and design compensation measures.

🏛政策担当者:Demonstrates how acceptance data can be translated into spatial planning criteria, supporting evidence-based policy for renewable energy siting.

📄 Abstract（原文）

This is the cleaned data and questionnaire (both in German language) supporting the findings of the paper: Mapping Landscape Suitability for Wind Energy in Germany: An Interdisciplinary Approach Combining Local Acceptance and Spatial Conflict Risks (currently under review). Building upon conflict risk classes, our study proposes an interdisciplinary framework that considers public acceptance, landscape characteristics and techno-economic constraints within a spatial planning approach for renewable energy projects. Therefore, using a questionnaire, we empirically assess the socially perceived suitability of and the potential for protests regarding the construction of wind turbines in thirteen different landscape types. Furthermore, we investigated on the effect of ecological compensation measures on the perceived landscape suitability and the willingness to protest. Specifically, the questionnaire was designed to answer the following questions: RQ1: What is the current level of public acceptance of wind energy expansion in Germany in 2025, and how does it vary across regions? RQ2: How do different landscape types differ in perceived suitability for wind power development, and how does willingness to protest shape these perceptions? RQ3: How can the empirical acceptance data be translated into landscape-specific conflict risk classes, and what spatial patterns emerge from this classification? RQ4: How can acceptance-based conflict risks be integrated with technically derived conflict risks, and what implications does this integration hold for landscape planning and the technical expansion potential of wind energy? Please refer to the related journal article for the references of the questionnaire items. The cleaned data set comprises n = 1014 individual data sets that were used for analysis.

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