The Potential of Digital Technologies as a Catalyst for the Transition to Circularity

Zeynep Melis Oğuz; Özlem Eren

Makale detayları

The Potential of Digital Technologies as a Catalyst for the Transition to Circularity

Yazarlar:

Zeynep Melis Oğuz | Özlem Eren

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Architectural Science and Technology

Dergi:

Journal of Architectural Sciences and Applications Vol.10 Issue 1, pp.638-653

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001355223

pISSN:

2548-0170

Anahtar kelimeler:

Özet:

 Digital technologies DTs are increasingly recognized as pivotal enablers of the transition to a circular economy CE across various sectors. This study focuses on addressing this research gap by examining how digital technologies can facilitate the transition to a circular economy in the built environment. The study investigates the following key questions: Which DTs hold the greatest potential for advancing circularity in the construction industry? And how can these technologies be strategically applied to enable circular principles? Through an extensive literature review and comparative analysis, the study identifies technologies such as Additive Manufacturing AM, Artificial Intelligence AI, Building Information Modeling BIM, the Internet of Things IoT, and Big Data Analytics BDA as critical tools for driving circular strategies. These technologies enhance material and energy efficiency, minimize waste, and resource recovery. Research findings provide feasible insights for researchers, and industry practitioners, enlighting the way for a more circular built environment.

 Digital technologies DTs are increasingly recognized as pivotal enablers of the transition to a circular economy CE across various sectors. This study focuses on addressing this research gap by examining how digital technologies can facilitate the transition to a circular economy in the built environment. The study investigates the following key questions: Which DTs hold the greatest potential for advancing circularity in the construction industry? And how can these technologies be strategically applied to enable circular principles? Through an extensive literature review and comparative analysis, the study identifies technologies such as Additive Manufacturing AM, Artificial Intelligence AI, Building Information Modeling BIM, the Internet of Things IoT, and Big Data Analytics BDA as critical tools for driving circular strategies. These technologies enhance material and energy efficiency, minimize waste, and resource recovery. Research findings provide feasible insights for researchers, and industry practitioners, enlighting the way for a more circular built environment.

 Digital technologies DTs are increasingly recognized as pivotal enablers of the transition to a circular economy CE across various sectors. This study focuses on addressing this research gap by examining how digital technologies can facilitate the transition to a circular economy in the built environment. The study investigates the following key questions: Which DTs hold the greatest potential for advancing circularity in the construction industry? And how can these technologies be strategically applied to enable circular principles? Through an extensive literature review and comparative analysis, the study identifies technologies such as Additive Manufacturing AM, Artificial Intelligence AI, Building Information Modeling BIM, the Internet of Things IoT, and Big Data Analytics BDA as critical tools for driving circular strategies. These technologies enhance material and energy efficiency, minimize waste, and resource recovery. Research findings provide feasible insights for researchers, and industry practitioners, enlighting the way for a more circular built environment.

 Dijital teknolojiler DTler, çeşitli sektörlerde döngüsel ekonomiye DE geçişte katalizör rol oynayan araçlar olarak giderek önem kazanmaktadır. Bu çalışma, dijital teknolojilerin yapma çevrede döngüsel ekonomiye geçişi nasıl kolaylaştırabileceğini inceleyerek bu araştırma boşluğunu ele almayı amaçlamaktadır. Çalışmanın araştırma soruları: Hangi dijital teknolojiler inşaat sektöründe döngüselliği hızlandırma potansiyeline sahiptir? Ve bu teknolojiler döngüsel ilkeleri desteklemek için hangi stratejilere sahiptir? Kapsamlı bir literatür incelemesi ve karşılaştırmalı analiz sonucunda, Katmanlı Üretim AM, Yapay Zekâ AI, Yapı Bilgi Modellemesi BIM, Nesnelerin İnterneti IoT ve Büyük Veri Analitiği BDA gibi teknolojiler, döngüselliğe geçişte potansiyelleri yüksek araçlar olarak saptanmıştır. Çalışmanın bulguları, bu alanda çalışan araştırmacılar ve sektördeki uzmanlar için uygulanabilir bilgiler sunarak döngüsellik ilke ve stratejileri açısından verimli bir yapma çevreye giden sürece ışık tutmaktadır.

Makale detayları

The Potential of Digital Technologies as a Catalyst for the Transition to Circularity

Yazarlar:

Zeynep Melis Oğuz | Özlem Eren

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Architectural Science and Technology

Dergi:

Journal of Architectural Sciences and Applications Vol.10 Issue 1, pp.638-653

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001355223

pISSN:

2548-0170

Digital technology

digitalization

built environment

circular economyDijital teknolojiler

dijitalleşme

yapma çevre

döngüsel ekonomi

Sayı

Makale detayları

Yazarlar: Zeynep Melis Oğuz | Özlem Eren

Yayıncı: Süleyman Demirel University

Ana Başlıklar: Architectural Science and Technology

Dergi: Journal of Architectural Sciences and Applications Vol.10 Issue 1, pp.638-653

Belge Tipi: Makale

Yayın Tarihi: 7/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001355223

pISSN: 2548-0170

Sayı

Yazarlar:

Zeynep Melis Oğuz | Özlem Eren

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Architectural Science and Technology

Dergi:

Journal of Architectural Sciences and Applications Vol.10 Issue 1, pp.638-653

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001355223

pISSN:

2548-0170