The changing living conditions of humanity day by day create new demands. In order to meet these demands, the excessive use of natural resources has left both these resources and nature face to face with increasing pressure. The effects of the decrease in the resources in nature confront humanity with various situations (thinning of the ozone layer, ecological changes, extinction of species, etc.) and threaten humanity. There are certain reasons that prepare the infrastructure of this situation. One of these reasons is undoubtedly the construction sector, where construction activities take place. The construction industry is a multidimensional industry with very different parameters and can accommodate different expectations. The development of technology and the rise in life quality standards have given a great impetus to the construction industry. In parallel with the rapidly increasing number of residences, the use of resources has increased rapidly. At this point, expectations in housing are changing due to increasing ecological problems and existing housing stocks are expected to participate in these changes. In the face of increasing ecological problems, the buildings should be environmentally friendly, efficient and sustainable buildings from the design phase to the implementation phase and even to the maintenance-repair demolition phase. At this point, the aim of the study is to analyze the housing stocks with high environmental impact, unable to respond to the location and period and low efficiency, by examining examples from the world and scanning foreign sources, with the "Model Proposal" prepared in line with the data obtained, without requiring a great economic burden and in order to reduce these building stocks. To put forward an approach that aims to transform it into buildings that are environmentally friendly, that can use the technology of the era, and that can have high efficiency and sustainable qualities without being demolished.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.