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# Mapping

Barrio Modelo. Reintroducir la vivienda asequible en los barrios interiores de Xalapa, México

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MaUP 2023-2024

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

Vehicle Crash Prediction in New York City

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MaCAD 2023-2024

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

Hotel Prediction for Singapore

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MaCAD 2023-2024

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

Barcelona Program

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MaCAD 2023-2024

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

Rental Price Predictor – Amsterdam

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MaCAD 2023-2024

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

Predictive Coastal Erosion

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MaCAD 2023-2024

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

migrAItion

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MaCAD 2023-2024

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

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MaCAD 2023-2024

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

FacAid + Chatbot

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MaCAD 2023-2024

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

Materializer

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MaCAD 2023-2024

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

Project Sentinel: Predicative analysis of street lighting and safety

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MaCAD 2023-2024

Greater Manchester, one of the largest and most vibrant urban centers in the UK, is characterized by its substantial student population and a dynamic economic landscape. With approximately 120,670 university students during the 2021/22 academic year and a significant number of these individuals studying at the University of Manchester and Manchester Metropolitan University, the region … Read more

Fields at Play

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MaCT-01 2023-2024

Fields at Play identifies the value of gender inequality in Olympic infrastructure and proposes to leverage the derived $12.6B Olympic gender gap in sports facilities to fund the revitalization and ongoing program of reliable, safe, and comfortable spaces for women at risk of gender-based violence. Understanding the purpose and outcomes of Olympic infrastructure strategies in … Read more

THF // MICRO-CITY

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MAA-01 2023-2024

The proposed vision for Tempelhof is articulated as a ‘city within a city’ arranged along the two airstrips of the former airport, extending perpendicularly to emphasise a dual directionality. Buildings are conceived as flexible micro-communities built on organic/biodegradable materials, with the possibility of growing or ‘de-growing’ through time.The design strategy aims to trigger a need … Read more