← 論文一覧に戻る

自然を基盤とした解決策の空間計画におけるリスクと実現可能性の統合:バルセロナ、ボストン、ロッテルダムの都市間比較分析

Integrating risk and feasibility in the spatial planning of nature-based solutions: a cross-city analysis of Barcelona, Boston, and Rotterdam (原題)

Svetlana Khromova, Svea Busse, Giulia Benati, Pablo Herreros-Cantis, Charlie Mioulet, Matthew J. Eckelman, Gara Villalba, Johannes Langemeyer

npj Urban Sustainability📚 査読済 / ジャーナル2026-08-20#気候リスクOrigin: Global対象セクター: real_estate
DOI: 10.1038/s42949-026-00461-7
原典: https://doi.org/10.1038/s42949-026-00461-7

🤖 gxceed AI 要約

日本語

都市の気候適応策として注目される自然を基盤とした解決策(NbS)について、リスクと実現可能性を統合した空間計画フレームワークを提案。バルセロナ、ボストン、ロッテルダムの3都市で、緑の屋根、透水性舗装、レインガーデン、都市公園の4タイプを対象に、洪水と熱ストレスに対する多災害リスクと実現可能性を空間分析。リスクと実現可能性の空間的クラスタリングを明らかにし、優先実施ゾーンと制約地域を特定。都市形態やガバナンスがNbS実装に与える影響を比較分析している。

English

This paper develops a transferable, SETS-based decision-support framework for spatially analyzing multi-hazard climate risk and feasibility of four nature-based solutions (green roofs, permeable pavements, rain gardens, urban parks) across Barcelona, Boston, and Rotterdam. Results reveal strong spatial clustering of risks and feasibility, with green roofs and permeable pavements highly feasible in dense, heat-prone areas, while rain gardens and parks are constrained by land and infrastructure. Overlaying risk and feasibility identifies priority zones for rapid implementation and flags high-risk/low-feasibility neighborhoods, supporting justice-oriented NbS planning.

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

日本では気候変動適応策としてNbSの導入が進むが、自治体ごとの計画策定に資する空間分析手法は限られる。本論文のフレームワークは、日本の都市部での洪水・熱ストレス対策の優先順位付けに応用可能であり、国土交通省や自治体の適応計画に示唆を与える。

In the global GX context

Globally, this paper contributes to the growing literature on climate adaptation and nature-based solutions by providing a transferable spatial planning framework that integrates risk and feasibility. It offers a comparative, cross-city perspective that can inform urban climate adaptation planning under frameworks like the EU's adaptation strategy and global resilience initiatives.

👥 読者別の含意

🔬研究者:Provides a transferable spatial analysis framework for integrating risk and feasibility in NbS planning, useful for urban climate adaptation research.

🏢実務担当者:Offers a decision-support tool for urban planners to prioritize NbS implementation in high-risk, high-feasibility zones.

🏛政策担当者:Highlights the importance of integrating feasibility and justice considerations in climate adaptation policy for urban areas.

📄 Abstract(原文)

Abstract Urban areas increasingly turn to nature-based solutions (NbS) to adapt to climate-related risks, which require integrated and systemic planning evaluating risks and feasibility of implementation. Here we develop a transferable, SETS-based decision-support framework that spatially analyzes multi-hazard climate risk and feasibility for four NbS types: green roofs, permeable pavements, rain gardens, and urban parks, across Barcelona, Boston, and Rotterdam. Integrating spatial and statistical analyses, we identify where different kinds of NbS are both most needed and most feasible for mitigating urban flooding and heat stress. Results reveal strong spatial clustering of risks and feasibility across all cities, with heat risk showing the highest spatial autocorrelation. Across cases, green roofs and permeable pavements consistently exhibit high feasibility in dense, heat-prone urban areas, whereas rain gardens and urban parks are constrained by land availability and underground infrastructure. The comparative analysis highlights how urban morphology, governance structures, and socio-economic factors shape feasibility for NbS implementation. Overlaying risk and feasibility identifies priority high risk –high feasibility zones for rapid implementation and flags high-risk/low-feasibility neighborhoods where infrastructure deficits and vulnerability may constrain adaptation, supporting more justice-oriented, context-sensitive NbS planning.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

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。