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Beyond Carbon: Integrating Physical Climate Risk Scoring into Zoning and Development Approval Processes for Urban Investment Resilience

炭素を超えて:都市投資レジリエンスのためのゾーニングと開発承認プロセスへの物理的気候リスクスコアリングの統合 (AI 翻訳)

Shuaibu H. Manga, Sani Inusa Milala, Abubakar Mohammed Garba

Zenodo (CERN European Organization for Nuclear Research)📚 査読済 / ジャーナル2026-07-22#気候リスクOrigin: Global対象セクター: real_estate
DOI: 10.5281/zenodo.21483839
原典: https://doi.org/10.5281/zenodo.21483839

🤖 gxceed AI 要約

日本語

本稿は、都市計画と不動産投資における物理的気候リスクの統合不足を指摘し、ゾーニングや開発承認に気候リスクスコアリングを組み込む概念枠組みを提案する。体系的な文献レビューに基づき、ハザード特定、曝露・脆弱性評価、リスクスコアの規制決定への統合という3要素を提示する。これにより、高リスク地域での開発抑制と投資価値保護を目指す。

English

This conceptual paper addresses the gap in urban planning where zoning and development approvals focus on carbon mitigation rather than physical climate risk. It proposes a framework integrating climate risk scoring into regulatory decisions, comprising hazard identification, exposure/vulnerability assessment, and risk score integration. The aim is to reduce urban vulnerability and protect investment values by guiding development toward resilient locations.

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、気候変動適応法や立地適正化計画などが進むが、開発許可に物理的リスクを明示的に組み込む仕組みは未整備。本枠組みは、自治体の土地利用政策や不動産投資判断に示唆を与え、防災・減災と投資レジリエンスの統合に寄与する。

In the global GX context

Globally, frameworks like TCFD and ISSB emphasize climate risk disclosure, but physical risk integration into land-use planning is less developed. This paper offers a theoretical basis for policymakers and investors to incorporate climate hazard scoring into zoning, complementing disclosure regimes with proactive regulatory measures.

👥 読者別の含意

🔬研究者:Provides a conceptual framework for integrating physical climate risk into urban planning, useful for further empirical testing.

🏢実務担当者:Offers guidance for developers and investors to assess climate risk in site selection and project approvals.

🏛政策担当者:Highlights the need to incorporate physical climate risk into zoning and development approval processes.

📄 Abstract(原文)

Abstract Urban development patterns increasingly expose communities and investment assets to escalating climate-related hazards, yet existing zoning and development approval processes remain predominantly focused on carbon mitigation rather than physical climate risk reduction. This conceptual paper addresses this critical gap by developing a comprehensive framework for integrating physical climate risk scoring into zoning and development approval processes to enhance urban investment resilience. The study employs a conceptual research methodology based on systematic literature review and theoretical synthesis across urban planning, climate science, and real estate investment. The analysis reveals that current zoning frameworks inadequately incorporate forward-looking climate hazard data, leading to continued development in high-risk areas and escalating financial exposure. The conceptual framework proposes a multi-stage risk scoring methodology that integrates location-specific hazard data, vulnerability assessments, and adaptation capacity considerations into planning approvals and zoning decisions. The framework identifies three core components: hazard identification and characterization, exposure and vulnerability assessment, and risk scoring integration into regulatory decisions. The study concludes that integrating physical climate risk scoring into zoning and development approvals can reduce urban vulnerability, protect investment values, and guide development toward climate-resilient locations. This paper contributes to emerging scholarship on climate-adaptive urban planning and resilient real estate investment by providing theoretical foundations for policy development and practical guidance for planners, developers, and investors. Keywords: Physical climate risk; Zoning; Development approvals; Urban resilience; Climate hazard scoring; land-use planning; Investment resilience; Adaptation; Risk assessment; Regulatory frameworks

🔗 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。