Overview PaperLink WIP – This study specifically explores Physics-Informed Neural Networks (PINNs) and Computational Fluid Dynamics (CFD) to analyze pedestrian wind comfort. It aims to integrate these neural network models into a web application using Three.js and other tools. By utilizing data from OpenWeatherMap, and OpenStreetMap, the project aims to support real-time simulations and visualizations … Read more
During a week, 10 students from MAEBB, MAA, MaCT and MDEF got together as part of the Ecological Interactions class, that took part at the village at Benifallet, placed by the Ebro River. During this period, the students got in touch with the faculty’s land in order to come up with analysis, thoughts and solutions … Read more
Abstract Flows 4 Santa Coloma is a project in the city of Santa Coloma, taking into consideration the Pla Pinta Verde proposed by the municipality of Santa Coloma. The project aims are aligned with the aims of the Pla Pinta Verde of connecting the existing green spaces to bridge the gap created because of the … Read more
Research Questions: Can climate sensitive facade interventions reduce the intensity of the Urban Heat Island effect within urban blocks in arid climates?“ Research Goal: The goal is to propose simplified, climate-sensitive facade interventions in highly urbanized cities that reduce energy loads by mitigating Urban Heat Island (UHI) effects, while complying with climate-resilient regulations. These interventions … Read more
Located in the heart of Barcelona, where the history of the city began, the Gòtic Quarter is an iconic neighborhood, we sought to understand its complex dynamics and whether its economic model could truly be called sustainable. From Roman foundations to bustling contemporary streets, the Gòtic Quarter embodies a story of transformation. But behind its … Read more
The week of Teche 01 workshop focused on introducing students and part of the research team in the landscape of Valldaura. The team was in charge of gathering soil samples from different areas of the forest campus in order to compare different behaviors of the soil. Through a series of tests , each group showed … Read more
ReCitying is a Workshop hosted by IAAC and Parc Agrari del Baix Llobregat to explore sustainable design and creative recycling in rural spaces. The first phase of the Workshop, in October 2024, focused on developing proposals for an installation using waste from Parc Agrari and planting crops to integrate into the project. We explored initial … Read more
Our research on the El Raval neighborhood explored the tensions and opportunities between residents and tourists, two populations who travel from all over the world to be in El Raval. While tourists and residents can have conflicting priorities and demands of their environment, the two are also dependent on each other and we came upon … Read more
As part of the Master in City & Technology Introductory Workshop, our team was tasked with studying La Barceloneta, a district characterized by its complex layers of social, economic, architectural, and administrative systems. This project aims to explore these dimensions, highlighting the interactions between tourism and the local community in one of Barcelona’s most iconic … Read more
1.0 Concept In the evolving landscape of urban development, property rates are influenced by numerous factors, including geographical, socio-economic, and infrastructural elements. Our project, “Urban Insights: Leveraging Open Data for Smart Property Rate Predictions,” aims to create an intelligent, data-driven model to forecast property rates. This model utilizes features such as wards, property types, and … Read more
This studio explores the possibility of using AR in architecture with Unity. Living parts is a thesis focusing on the use of Biomaterials in Architectural Elements to sequester environmental carbon dioxide. Unity is used here to map the data from the CO2 sensor to Unity and see the data collected with the help of a … Read more
La formulación de la paz es imposible para el consenso de las masas actuales. Esta misma perspectiva es igualmente negativa en el país que inició el desarme de sus tropas después de la dolorosa II Guerra Mundial y una sangrienta Guerra Civil en 1948, esta es Costa Rica. Una utopía en las américas, una deformada … Read more
Introducción La ciudad se expande territorialmente y pierde población en su núcleo consolidado. La oferta de vivienda nueva, y particularmente la de Interés Social, existe predominantemente en la periferia, donde hay un déficit de servicios básicos, fuentes de empleo, y accesibilidad. Esto contribuye al deterioro ambiental, agrava los problemas de movilidad y ejerce presiones financieras … Read more
Las ciudades se encuentran experimentando un vertiginoso crecimiento demográfico y se espera que hacia 2050 el 90% de la población de LATAM viva en ciudades. En Argentina, ya lo hace el 92%, posicionando a la Ciudad de Buenos Aires como una de las ciudades más populosas del mundo. Esta densificación supone un impacto directo en … Read more
Project Aim In this project we aim to predict the type of vehicle crash that can be foreseen in the city of New York based on the traffic volume, using Graph Neural Networks (GNNs). To develop this machine learning model we use 3 different datasets. The model could hold potential if developed further, to be … Read more
Our project derives from our observation that in Singapore, most of hotels are located along the east and southeast areas near Changi Airport. There are very few hotels on the west side of Singapore. We also take into account on factors that tourists and visitors consider when making a reservation. These factors include public transportation, … Read more
Block Classification This project aims to classify urban blocks in Barcelona, focusing on the districts of Saint Martí and Eixample, based on their dominant functions. By identifying the primary uses of these urban blocks, we can gain insights into the spatial organization and functional distribution within the research area. Saint Martí and Eixample, two vibrant … Read more
Introduction Accurate prediction of rental prices poses a significant challenge in dynamic real estate markets such as Amsterdam. Our research project explores the use of graph-based machine learning to improve the accuracy of such predictions. This methodology could be of interest to various actors in the real estate sector, including brokers, investors, and urban planners. … Read more
Why? Coastal erosion is a dynamic and complex process influenced by both natural factors and human activities. Natural causes such as wave action, tidal patterns, weather events, and rising sea levels due to global warming significantly contribute to the gradual wearing away of coastlines. Additionally, human interventions like coastal construction, sand mining, and deforestation exacerbate … Read more
Studying migration is crucial for urban planners and architects to anticipate and accommodate the influx of people into cities, ensuring the development of robust infrastructure that can support this growth. As migration patterns shape demographic changes, understanding these trends allows cities to plan for adequate housing, transportation, healthcare, and educational facilities. This foresight is essential … Read more
Who Why: For the Amenities, we selected the following due to its overall correlation with residential real estate and we anticipate that it will give a good indication of how the properties would be priced. By creating bounding boxes around the amenities, with a radius of 1km, we ensure that as much of the graph … Read more
Dataset Our database contains more than 181,000 rows, each with comprehensive information. The primary database includes 17 variables, though not all are necessary for our analysis. The most crucial data points are location (latitude and longitude), type of food establishment, type of inspection, inspection results, and risk level. As the person who uploaded the database … Read more
In a world where urban areas are predominantly developed and the heat island effect is intensifying, the construction industry significantly contributes to environmental challenges. Instead of focusing on tools that promote new construction, our goal is to provide a tool that analyzes existing buildings and suggests improvements. This approach aims to enhance sustainability and mitigate … Read more
Introduction Our project, Materializer, leverages the power of multiple self-trained machine learning models to predict material quantities based on an image uploaded by the user and the building coordinates. This innovative approach utilizes image segmentation to isolate buildings, image classification to read material pixels, and a height prediction model for buildings lacking height information in … Read more
