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
#Objective #A Kaggle Competition to MaCT01 students to show their knowledge, designing an end-to-end machine learning project to predict the “Trip Duration” of NYC Taxi trips. #Workflow #First of all a workflow hast do be developed, which represents a classic approach for training machine learning models, analysing the provided training data provided by the submission, … Read more
The Core challenges of urban childhood As cities grow and develop, there is often a lack of safe and child-friendly spaces for children to play, walk or bike alone. The increase in traffic and air pollution makes it challenging and unsafe for children to travel on foot or by bicycle. Crime and social fear also … Read more
Introducing the Mobility Footprint, an interactive dashboard designed to promote awareness about mobility in urban environments and its impact on CO2 emissions. By selecting your typical mode of transportation and choosing from eight pre-determined destinations, the dashboard will provide you with a recommended route, estimated travel time, and the CO2 emissions associated with your selected … Read more
Do you nip out to get your lunch from your favourite café, or perhaps use the Uber Eats app to get your lunch delivered to your office? In India, lunch is a whole different ball game. It’s people-powered – made at home that morning and delivered straight to you, all absent of any technology in time. … Read more
