Urban Energy Efficiency Framework: Integrating Spatial Analysis and Policy Interventions for Sustainable Urbanisation
都市エネルギー効率フレームワーク：持続可能な都市化のための空間分析と政策介入の統合 (AI 翻訳)
(著者不明)
🤖 gxceed AI 要約
日本語
本論文は、GISマッピングや回帰分析などの空間分析と政策介入を組み合わせ、都市部のエネルギー効率を向上させる統合的アプローチを提案する。ケーララ州（インド）、ローレス（ポルトガル）、イランの事例を用い、高密度地域が主要なホットスポットであること、気温変動と政策措置がエネルギー需要の主な推進要因であることを示す。フレームワークは、低所得地域への再生可能エネルギー統合、ヒートアイランドでのバイオクライマティック改修、コミュニティソーラープランによるエネルギー貧困解消を提唱し、パイロット地域で12〜18%の省エネ可能性が確認された。
English
This paper proposes an integrated approach to improve urban energy efficiency by combining spatial analysis (GIS mapping, regression) with policy interventions. Using cases from Kerala (India), Loures (Portugal), and Iran, it identifies high-density neighborhoods as key hotspots and shows that temperature fluctuation and policy measures drive energy demand. The framework suggests integrating renewables, bioclimatic retrofitting, and community solar, with potential 12-18% energy savings in pilot areas.
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
日本でも都市ヒートアイランド対策やエネルギー効率向上は重要課題であり、本フレームワークは地域特性に応じた政策立案や再エネ導入計画に活用可能。ただし、日本の政策体系（省エネ法、地球温暖化対策計画）との直接的な連動にはさらなる調整が必要。
In the global GX context
This paper contributes to global urban climate adaptation and energy efficiency literature, providing a replicable spatial-policy framework aligned with SDGs 7 and 13. It offers empirical evidence from diverse geographies, enhancing the applicability of integrated energy planning in cities worldwide.
👥 読者別の含意
🔬研究者:Urban energy efficiency scholars can use the spatial analysis methodology and empirical findings for comparative studies.
🏢実務担当者:City planners and energy managers may adopt the framework to identify hotspots and design targeted efficiency measures.
🏛政策担当者:Local governments can leverage the results to integrate renewable energy and retrofitting policies into urban development plans.
📄 Abstract（原文）
Urban heat islands contribute to 67%-76% of the world's total energy consumption, exacerbating climate conditions.This paper suggests an integrated approach to improve energy efficiency in urban areas with an example from Kerala, India.Methodologically, it combines spatial analysis of urban form, climatic, and socioeconomic factors through GIS mapping, regression analysis and case studies of Loures, Portugal and Iran.Key findings indicate temperature fluctuation in urban heat islands (=0.45,p<0.001) and policy measures ((=0.50,p<0.001) as main drivers of energy demand.Statistical Analysis revealed high -density neighbourhoods as key hotspots with 80% correlation of urban density with lower per capita consumption.The suggested framework enables targeted measures: 1) Integration of renewables in low-income areas, 2) Bioclimatic retrofitting of buildings in heat islands, and 3) Community solar plans to eliminate energy poverty.Validation using Kerala's State Electricity Board data established 12-18% potential energy savings in pilot areas.The study fills gaps in localised energy climate adaptation planning, complementing SDG 7 & 13 targets.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.56726/irjmets80734first seen 2026-05-05 07:54:36 · last seen 2026-05-05 19:14:22
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。