Journals / GSI Journals Serie C: Advancements in Information Sciences and Technologies / 2026 / Cilt: 8 Sayı: 2

AGICore: A Traceable, Structurally Explainable Computational Framework for Assessing Nature-Based Solutions Under Urban Heat Risk

AGICore: Kentsel Isı Riski Bağlamında Doğa Temelli Çözümlerin Değerlendirilmesi için İzlenebilir ve Yapısal Olarak Açıklanabilir Bir Hesaplama Çerçevesi

Alper Çabuk(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0002-0684-2247
Mehtap Özenen Kavlak(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0002-5369-4494
Halil Duymuş(ÇUKUROVA ÜNİVERSİTESİ)0000-0002-8113-9674
Arife Koca(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0002-1739-1699
Emir Balkan(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0002-3540-879X
Sevgin Aysu Balkan(ESKİŞEHİR TEKNİK ÜNİVERSİTESİ)0000-0001-8695-3897
Arif Furkan Mendi(OSTİM TEKNİK ÜNİVERSİTESİ)0000-0002-0750-4012
Pages
38–52
Publication Date
2026-10-29
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results indicate a decreasing trend in UHIER across the study area, while also showing that localized warming hotspots persist in certain sub-regions where transformation has been completed, and building density has increased.

📌 3 Key Takeaways

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Objective & Hypothesis:This study aims to address the concept of a “core code” in complex adaptive systems within a scientifically verifiable framework, rather than through abstract and difficult-to-validate approaches.
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Key Findings & Data:This theoretical framework is evaluated using the Urban Heat Island Effect Ratio (UHIER)–LST dataset covering the period 2005–2022 for urban regeneration areas (NMURP and NAURP) in Ankara.
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Conclusion & Impact:The results indicate a decreasing trend in UHIER across the study area, while also showing that localized warming hotspots persist in certain sub-regions where transformation has been completed, and building density has increased.
🔬Design:Araştırma Makalesi
📍Scope:2005–2022 Verileri
⚙️Variables:Kentsel ısı adası (UHI) · Kentsel yenilenme · Doğa temelli çözümler (NbS)

Abstract

This study aims to address the concept of a “core code” in complex adaptive systems within a scientifically verifiable framework, rather than through abstract and difficult-to-validate approaches. In this context, urban heat island (UHI) risk and nature-based solutions (NbS) are evaluated under the AGICore framework, which provides a traceable and structurally explainable approach. The AGICore approach defines three fundamental components recurring across different scales: regulation (feedback and stability), agency (capacity for goal-directed action), and information (the cost of measurement and processing processes). These components are considered within the constraints of thermodynamics and information theory. Instead of proposing a single ultimate equation, a reduced dynamic representation based on observable variables and a traceable decision structure is proposed. This theoretical framework is evaluated using the Urban Heat Island Effect Ratio (UHIER)–LST dataset covering the period 2005–2022 for urban regeneration areas (NMURP and NAURP) in Ankara. In this context, the findings presented by Ozenen Kavlak et al. (2025) are reconsidered within the AGICore framework. The results indicate a decreasing trend in UHIER across the study area, while also showing that localized warming hotspots persist in certain sub-regions where transformation has been completed, and building density has increased. This situation suggests that the thermal effects of urban regeneration processes may vary depending on morphological characteristics, surface impermeability, and the composition of green infrastructure. The main contribution of the study is to present a framework that emphasizes spatial heterogeneity and mechanism-based evaluation rather than treating UHIER analysis as a single output indicator. This approach demonstrates that NbS evaluation should not be limited to changes in green area quantity but should be assessed considering surface energy balance and spatial intervention components.

Özet

Bu çalışma, karmaşık adaptif sistemlerin “çekirdek kodu” kavramını soyut ve doğrulanması güç yaklaşımlar yerine, bilimsel olarak denetlenebilir bir çerçevede ele almayı amaçlamaktadır. Bu doğrultuda, kentsel ısı adası (UHI) riski ve doğa temelli çözümler (NbS), izlenebilir ve yapısal olarak açıklanabilir bir yaklaşım sunan AGICore çerçevesi altında değerlendirilmiştir. AGICore yaklaşımı, farklı ölçeklerde tekrar eden üç temel bileşeni tanımlamaktadır: regülasyon (geri besleme ve kararlılık), ajans (hedefli eylem kapasitesi) ve enformasyon (ölçüm ve işleme süreçlerinin maliyeti). Bu bileşenler, termodinamik ve enformasyon kuramı sınırları çerçevesinde ele alınmıştır. Tek bir nihai denklem önerisi yerine, gözlenebilir değişkenler üzerinden indirgenmiş dinamik bir temsil ve izlenebilir bir karar yapısı önerilmiştir. Bu kuramsal çerçeve, Ankara’daki kentsel dönüşüm alanlarına (NMURP ve NAURP) ilişkin 2005–2022 dönemini kapsayan Urban Heat Island Effect Ratio (UHIER) – LST veri seti üzerinden değerlendirilmiştir. Bu bağlamda, Ozenen Kavlak et al. (2025) tarafından sunulan bulgular, AGICore yaklaşımı içinde yeniden ele alınmıştır. Bulgular, çalışma alanı genelinde UHIER etkisinin azalma eğilimi gösterdiğini ortaya koyarken, dönüşümü tamamlanmış ve yapı yoğunluğunun arttığı bazı alt bölgelerde yerel ısınma odaklarının sürdüğünü göstermektedir. Bu durum, kentsel dönüşüm süreçlerinin ısıl etkilerinin alanın morfolojik özellikleri, yüzey geçirimsizliği ve yeşil altyapı bileşimine bağlı olarak farklılaşabildiğine işaret etmektedir. Çalışmanın temel katkısı, UHIER analizini tekil bir çıktı göstergesi olarak ele almak yerine, mekânsal heterojenliği ve mekanizma temelli değerlendirmeyi öne çıkaran bir çerçeve sunmasıdır. Bu yaklaşım, NbS değerlendirmesinin yalnızca yeşil alan miktarındaki değişim üzerinden değil, yüzey enerji dengesi ve mekânsal müdahale bileşenleri dikkate alınarak yapılması gerektiğini ortaya koymaktadır.

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Cite This Article

Turkbay, V., Çabuk, A., Kavlak, M. Ö., Duymuş, H., Koca, A., Balkan, E., Küçükoğlu, İ., Balkan, S. A., Mendi, A. F. (2026). AGICore: A Traceable, Structurally Explainable Computational Framework for Assessing Nature-Based Solutions Under Urban Heat Risk. GSI Journals Serie C: Advancements in Information Sciences and Technologies, Cilt: 8 Sayı: 2, 38–52. https://ajindex.com/articles/1667988

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