IMPROVING EXISTING HOUSING STOCKS A MODEL WITH ARTIFICIAL SMART SUPPORT

Year 2022, - Vol.23 - 16th DDAS (MSTAS) Special Issue -2022, 42 - 49, 23.12.2022

Murat Batuhan Zeybek , Leyla Yekdane Tokman

https://doi.org/10.18038/estubtda.1166064

Abstract

Habitable housing and a healthy environment are a fundamental human right. In ensuring that existing housing stocks are re-acquired with artificial intelligence support, in making them healthy and sustainable, the development of a support intelligent system is the main topic of this study. The improvement of what is present provides a holistic benefit that has a return in economic, social, cultural and environmental contexts. It is increasingly important to take advantage of technology to make predictions and assessments with effective policies as well as effective strategies, algorithms, software development, and simulation in improvement projects. The goal is to preserve the resources and energy we have, reduce waste production to zero, reduce carbon footprint, and use the smart model supported by artificial intelligence in this study. Demolition and rebuilding should only be considered as the last resort, as the growth of environmental, cultural, waste areas, and waste resources and energy waste. Improving robust and functional buildings without demolishing them, adapting structures with cultural value to current technology, ensuring sustainability with a smart system can be achieved. In this study, it is aimed at achieving a ‘Smart Model’, which is supported by artificial intelligence, which is designed in light of examples around the world to evolve existing housing stocks with high environmental impact and resource utilization, into buildings with technology-appropriate equipment that have sustainable properties for resource use.

Keywords

existing housing stock, intelligent model with artificial intelligence, improvement, technology in architecture, sustainability.

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