An Urban AI graft project based in Barcelona. In 2022 across both England and Wales the proportion of people that have some form of disability was a staggering 17.8% or nearly 10.4 million people. Our project is focused on urban mobility and aims to create accessibility for current routing applications have limited use for people … Read more
Problem statement and project objectives How can we create a routing system that orients onto its users environment, utilizing open source data? How do we collect and process data? Our objective is to utilize the existing data and generate any missing data required for each aspect of our analysis. We combine data from different sources … Read more
– 00– The project aims to analyze the sounds of streets in Barcelona, cluster them and compare. Firstly, a table of sound types evaluation is created. It consists of point data, network data and sound intensity data. – 01– The methodology and analysis of street segments is based on 1 dataset, that was combined using … Read more
The city of Mumbai, known as the financial and entertainment capital of India, has experienced a significant surge in housing prices and rents in recent years. The demand for residential properties in Mumbai has been steadily increasing due to factors such as population growth, urbanization, and the city’s thriving job market. In the midst of … Read more
London is a city with high density of bike lane networks, and the high costs on metro drives people using bike more. But how people interact with different factors such as tree canopy, amenities and the urban form? Data preparation To start the analysis, I download the bike lane network sample area from Openstreetmap. Urban … Read more
Starting in 2015 urban development spread beyond the administratively defined Melbourne metropolitan area, into Greater Geelong and the Shire of Mitchell. The Melbourne Metropolitan Region or Greater Melbourne comprises 31 Local Authority Governments (LGA, municipalities and shires) aggregated in 6 metropolitan partnerships. Two of them, Inner and Inner South-East allocate the metropolitan core. This project … Read more
This project seeks to radically challenge the Lynetteholm proposal that is underway on the coast of Copenhagen, Denmark. Going against the grain of theoriginal Lynetteholm proposal (an artificial island), this project displays the possibility of minimal impact instead of detrimental impact on the ocean-scape and lightness instead of the heaviness of a human-made island through … Read more
‘Corkoon’ is a design proposal by a group of six students from MAEBB 2022-23 for the final thesis design of a Mobile home. The project aims to cater to the materiality aspects of a mobile home which we try to achieve by bio-mimicking the principles of a caterpillar in its chrysalis where it goes on … Read more
At UrbanCork, we are a passionate team of four young individuals from Barcelona and Stuttgart, united by a shared vision of creating sustainable solutions for urban environments. We are committed to transforming cities into more liveable, eco-friendly spaces from car-centric to people-friendly cities. Our focus is on developing innovative cork tiles that not only enhance … Read more
The New York City Taxi Trip Duration competition is a challenge to develop a model that predicts the total ride time of taxi trips in New York City. Yellow medallion taxicabs, which number 12,779 in New York City, generate a substantial revenue of $1.8 billion per year by providing transportation services to around 240 million … Read more
THE FUTURE OF PARKING In this one-term seminar of Decarbonise built environment the main goal was to develop carbon-capturing strategies and study how can we shift to renewable energies. In this particular project, Barcelona city was taken as a built environment, and based on that we developed urban planning strategies and parking design strategies. COSMOGRAM … Read more
Machine learning has been applied to a wide range of domains, including transportation, to improve the accuracy of predictions and optimize systems. In the context of taxi services, predicting the trip duration is an essential task to optimize route planning and estimate arrival times. In this post, we present a machine learning approach using Python … Read more
The design began with the process of understanding the culture, the climate and the people of Accra, Ghana. The design is based in a tropical climate where the temperatures and the humidity are high. This design was then set in a Metaversal city that was a culmination of 6 sites from different regions of the … Read more
This blog is a review of the book “Delirious New York” written by Rem Koolhaas. “The future is no longer about power, but about bandwidth.” Rem Koolhas Rem Koolhaas wrote a novel titled “Delirious New York” that outlines the evolution and background of Manhattan’s design and urbanism. Koolhaas wrote this book because he desired to … Read more
Goal: to predict trip duration of NYC cabs using machine learning models. Tools: Python + Nympy + Pandas + Datetime + Plotly.express + Matplotlib + Math + Seaborn + Bokeh + Sklearn Stages of project: data cleaning, data analysis, data preparation, data testing, evaluating prediction accuracy. Data cleaning The first dataset visualization with splitting datasets … Read more
Machine Learning-based Analysis of NYC Cab Trip Duration “Data-Driven Rides” is an entry for the first MaCT Machine Learning Competition that hosted on Kaggle which involves predicting the duration of taxi rides in New York City. The dataset provided for this competition is based on the 2016 NYC Yellow Cab trip record dataset and the … Read more
