Applications of Artificial Intelligence in Building Development

Dear Colleagues,

In a world powered by artificial intelligence (AI), urban planning, neighbourhood revitalisation, tactical urbanism, community-led initiatives, transit-oriented development (TOD), green infrastructure, historic preservation districts, pocket parks, complete streets, micro-mobility solutions, local business support, and city management are undergoing a transformative revolution. Cities are increasingly becoming more efficient, sustainable, and liveable.

AI empowers urban managers and policymakers, equipping them with data-driven insights from extensive datasets encompassing all facets of a city's comprehensive societal ecosystem, ranging from traffic patterns to the demographics of community well-being. This augmented understanding enables the optimisation of land utilisation, implementation of sustainable practices, and improved resource management, ultimately fostering the development of resilient and thriving cities.

AI is an indispensable ally in today's architectural, engineering, and construction landscape, providing transformative support across the entire building lifecycle. From design to decommissioning, AI enhances architectural design, streamlines construction operations, optimises energy efficiency and occupant comfort, proactively maintains systems, and guides sustainable decommissioning. This comprehensive AI integration ensures buildings stay dynamic, efficient, and sustainable throughout their entire lifecycle.

AI aids architects in creating visually appealing and structurally sound designs, streamlines construction operations, enhances safety, and improves efficiency. As buildings enter their operational phase, AI ensures energy efficiency and occupant comfort. Predictive analytics prevent disruptions during maintenance and decommissioning, and AI guides sustainable strategies. This comprehensive AI support empowers professionals to deliver aesthetically pleasing, structurally robust, efficient, sustainable, and cost-effective buildings from inception to retirement.

This Special Issue explores AI's profound impact on urban development, city planning, building design, construction, maintenance, and energy efficiency. It offers a glimpse into a future wherein AI guides us towards more sustainable, efficient, and remarkable cities and structures.

The proposed Special Issue addresses the following research fields:

1. AI in architectural design;
2. AI-powered engineering solutions;
3. Construction industry advancements with AI;
4. Sustainable building design with AI;
5. Structural engineering and AI;
6. AI-assisted building construction;
7. Building maintenance automation with AI;
8. AI in infrastructure planning;
9. Urban development with AI-driven construction;
10. Resource optimisation in civil engineering with AI;
11. AI for sustainable building practices;
12. Reducing GHG emissions through AI-enhanced energy efficiency.

Dr. Carlos C. Duarte
Dr. Nuno D. Cortiços
Dr. Anna Stefańska
Dr. Daniel Mateus
Dr. Carol Monticelli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence
• smart buildings
• smart urban grids
• adaptive design
• RES systems
• building automation and maintenance
• machine learning
• smart construction
• sustainable design

• The Adaptability of Residential Planning and Design to World-Changing Events in Buildings (16 articles)

Title: The Application of Artificial Intelligence in the Analysis of Light Pollution
Authors: Małgorzata Kurcjusz-Gzowska, Anna Stefańska*, Carlos Duarte, Nuno Corticos
Affiliation: 1. Institute of Civil Engineering, Warsaw University of Life Science, 02-787 Warszawa, Poland 2. CIAUD, Research Centre for Architecture, Urbanism and Design, Rua Sá Nogueira, Polo Universitário do Alto da Ajuda, 1349-063 Lisbon, Portugal 3. Lisbon School of Architecture, Universidade de Lisboa, Rua Sá Nogueira, Polo Universitário do Alto da Ajuda, 1349-063 Lisbon, Portugal
Abstract: Urbanization and industrialization have led to the widespread issue of light pollution, presenting challenges to the environment and human well-being. This study comprehensively examines light pollution, its diverse manifestations, and its associated impact on ecosystems, astronomical observations, and human health. The research underscores the significance of combatting light pollution for safeguarding biodiversity, curbing energy consumption, and enhancing human health. The disturbance of natural circadian rhythms due to excessive artificial lighting is linked to various health issues, from sleep disruptions to adverse effects on wildlife behavior. In tackling the intricate challenges of light pollution, this research investigates the role of Artificial Intelligence (AI) in its analysis and mitigation. AI presents a promising avenue for efficiently processing extensive datasets, including satellite images, ground-based sensor measurements, and sensor networks, facilitating more precise and timely assessments of light pollution levels. Machine learning algorithms play a crucial role in classifying and interpreting this data, simplifying the identification of sources contributing to light pollution. The potential applications of AI in light pollution analyses are explored, showcasing the capability of these technologies in creating data-driven solutions. Integrating AI into monitoring systems allows for real-time adjustments to lighting intensity, contributing to proactive control measures. Furthermore, AI-enabled model forecasting supports urban planning by aiding in developing sustainable lighting strategies. This study emphasizes the importance of adopting a holistic approach to combating light pollution and raises awareness about the potential of artificial intelligence in developing effective strategies. By leveraging AI, the aim is to support the creation of healthier and more sustainable practices in artificial lighting through pro-climate design, materials, and technologies.