URBAN-Ai: AI based forecasting platform that predicts evolution of urban density and land-use.

The growth of cities on an urban level has been very random and often scattered due to several reasons, like; UNDPREDICTABLE URBAN GROWTH, DYNAMIC ZONING TRENDS and SHIFTING DEMANDS. This has led to the cities being have to be planned reactively rather than proactively. This has led to a problem of cities being inefficient, rising … Read more

Beyond Efficiency

The Purpose of AI in the Age of Resource Scarcity Introduction: Redefining the Question The question “What is the purpose of AI in AEC?” often elicits a predictable response focused on speed. For years the industry has viewed Artificial Intelligence primarily as a mechanism for automation. It is seen as a faster way to produce … Read more

Urban Climate on Graphs: From Form to Comfort

ABSTRACT This thesis investigates the relationship between urban development patterns and outdoor thermal comfort, with a focus on Mean Radiant Temperature (MRT), a key factor in calculating the Universal Thermal Climate Index (UTCI).  While graph-based approaches have long been used in spatial analysis (e.g., space syntax, circulation networks), this research extends the application of graph … Read more

GG Worlds [v.2]

Introduction: From Words to Worlds Game design is one of the most creative fields in digital media today but for most developers, turning ideas into immersive worlds remains slow, expensive, and overwhelming. Especially for independent creators, level design, the art of shaping the physical and emotional journey of a player, is often the most demanding … Read more

Ecoform: An Acoustic Copilot for Urban Designers

By Jose, Giorgia, Paul, Francesco, and Mohammed Rethinking Urban Design Through Acoustic Intelligence Cities today must manage noise for public health, productivity, and urban well-being. Streets, parks, towers, and public spaces all face constant noise challenges. Yet, traditional urban design often treats acoustics as an afterthought. Most teams evaluate sound issues only after making key … Read more

Flow – SIGHT: De- coding urban mobility

Introduction Urban traffic congestion is more than just an inconvenience—it’s a global challenge tied to pollution, stress, and wasted time. While cities are turning to AI-driven systems to ease the gridlock, the question remains: Do these technologies actually perform better than traditional methods?Flow – SIGHT is a comparative research project that investigates traffic systems across … Read more

Jakarta

Jakarta’s rapid urbanization has outpaced the development of equitable mobility infrastructure, exacerbating safety disparities, particularly for low-income women navigating the city at night. While formal policies fall short, informal transport networks like Angkot fill critical gaps, despite exposing riders to physical and psychological risks. This study explores how machine learning can be used to fill … Read more

Urban Vegetation Analysis Using Computer Vision and Deep Learning

(PaintDumpster/environmental_data_workshop at ndvi) – Link to GitHub This project aims to detect and classify different types of greenery in satellite imagery by utilizing color and edge detection techniques. The study area is located in Barcelona, Spain (41.396536, 2.194554). The stable version employs color and edge detection for image segmentation, while an alternative method integrates LiDAR … Read more

Urban Layers

Tracking Morphological Evolution Over Time Urbanization and Vegetation Change Analysis Using Satellite Data Introduction Satellite imagery provides a powerful view of Earth’s surface, but to the naked eye, changes like urban growth and vegetation loss are not always obvious over time.Colors and features can look deceptively similar, making it difficult to accurately assess land cover … Read more

Flood Impact Mapping along the Turia River, València – Flood of 2024

When torrential rain dumped an entire year’s worth of water on Valencia in barely eight hours on 29 October 2024, the Turia spilled over its banks, submerging citrus groves, highways and whole neighbourhoods. More than 200 lives were lost, hundreds remained missing and Spain faced its worst flood disaster in recent history. Events like this … Read more

DECODING URBAN MOBILITY

ABSTRACT; Decoding Urban Mobility: This project evaluates the impact of AI-driven traffic management versus conventional fixed-timing methods on urban congestion. It analyzes real-time and historical data—including traffic patterns, weather, demographics, and incident reports—from cities like London, Barcelona, and Los Angeles and compares machine learning models (e.g., LSTM, GRU, XGBoost) with traditional techniques. The study identifies … Read more

Literary Landscapes &AI-Driven Urban Design

tres tombs

A speculative approach to Design through data, literature, and participatory AI in Sant Antoni Our urban issue: The Lack of Narrative-Driven Urban Design in a Data-Driven City Contemporary urban design increasingly relies on AI and big data, often sidelining human stories, cultural narratives, and historical context in shaping urban spaces. While data-driven design optimizes efficiency, … Read more

From Digital to Cognitive: Redefining Cities with Intelligent Twins with Karla Saldana

Abstract Digital twins are transforming architecture, urban planning, and infrastructure management by creating intelligent, data-driven replicas of physical assets. These virtual models integrate real-time sensor data, predictive analytics, and AI to optimize performance, streamline decision-making, and enhance sustainability. In this podcast, we explore the evolution of digital twins with guest Karla Saldano, an expert in … Read more