Spatio-temporal assessment of urban vegetation cooling efficiency and the identification of critical heat mitigation zones in Kraków, Poland
クラクフ（ポーランド）における都市植生冷却効率の時空間評価と重要熱緩和ゾーンの特定 (AI 翻訳)
Reza Sarli, Garry Marapao, Ayman Imam, Erdenetuya Boldbaatar, Mohammed Alamoudi
🤖 gxceed AI 要約
日本語
本研究は、InVEST都市冷却モデルと長期NDVIトレンドを統合した二基準の空間優先順位付けフレームワークを開発し、ポーランド・クラクフにおける熱緩和ゾーンを特定した。樹木被覆が最も高い冷却効果を示し（HMI 0.57-0.71）、都市中心部の植生減少が確認された。この手法は証拠に基づく都市の気候レジリエンス向上に貢献する。
English
This study develops a dual-criteria spatial prioritization framework integrating modeled current cooling performance from InVEST Urban Cooling Model with long-term NDVI trends to identify heat mitigation zones in Kraków, Poland. Tree cover provides the greatest cooling effect (HMI 0.57-0.71), and significant vegetation decline is observed in urban cores. The approach supports evidence-based urban climate resilience 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
日本の都市（東京、大阪など）でもヒートアイランド対策は重要な課題であり、本手法はSSBJや統合報告書における気候変動適応戦略の裏付けとして活用できる可能性がある。自治体や不動産事業者にとって、緑化優先地区の特定に有用。
In the global GX context
Globally, cities face growing heat risks, and this spatial prioritization method offers a replicable tool for urban climate adaptation planning, relevant to TCFD/ISSB reporting on climate resilience. The dual-criteria approach (current performance + vegetation trends) addresses a gap in practical greening strategies.
👥 読者別の含意
🔬研究者:Provides a reproducible GIS-based framework combining cooling model outputs with vegetation trend analysis for urban heat mitigation prioritization.
🏢実務担当者:Urban planners and sustainability officers can use the priority class maps to target greening investments where they are most needed for cooling.
🏛政策担当者:Offers evidence for allocating resources to high-priority heat mitigation zones, supporting urban climate resilience policy.
📄 Abstract（原文）
Urban Heat Islands (UHIs) pose growing challenges to urban sustainability, affecting health, energy use, and climate resilience. While urban vegetation cools cities, planners lack tools to prioritize interventions that combine current cooling performance with long-term vegetation health trends. This study develops a novel dual-criteria spatial prioritization framework that integrates modeled current cooling performance from the InVEST Urban Cooling Model (2024) with long-term NDVI trends (MODIS, 2003–2024) to identify priority classes for heat mitigation in Kraków, Poland. Results show a moderate positive association between NDVI and the Heat Mitigation Index (HMI; r = 0.566), with tree cover providing the greatest cooling (HMI: 0.57–0.71). Importantly, 9.37% of vegetated areas showed statistically significant declines in NDVI ( p ≤ 0.05), mainly in urban cores. Spatial integration of these layers identified five priority classes for heat mitigation. Highest-priority zones covered 1627.18 ha (4.99%) of the study area, while high-priority zones accounted for 6107.14 ha (18.72%). This spatial prioritization approach enables cities to optimize greening strategies by addressing current deficits and areas of ongoing vegetation decline, supporting proactive, evidence-based urban climate resilience.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1177/03091333261466969first seen 2026-07-24 05:26:39
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