21 datasets found

National urban database and access portal tool.

A novel Level of Detail-1 (LoD-1) building dataset derived from a Deep Neural Network (DNN) called GLOBUS.

The H4m dataset consists of 28,550 real estate, 497,256 points of interest, 250,000 traffic records and over 100 million pieces of social media text geolocated in the same city.

The dataset used in this paper is a collection of 31 Neighbourhood Improvement Areas (NIAs) in Toronto, Canada. Each NIA has a set of residential locations, candidate allocation...

The dataset is a 2.5D city model provided by (OPEN DATA 2018) which contains buildings with detailed roof structures and a terrain model.

The dataset is a 2.5D city model provided by (OPEN DATA 2018) which contains buildings with detailed roof structures and a terrain model.

NO2 pollution data per district, together with the correlation matrix of the initial 28 features

The dataset used in this paper is a real-world dataset from Uber, containing 4.5 million Uber pickups in New York City from April to September 2014, and 14.3 million Uber...

OpenStreetMap data used to capture the influence of urban features on bus ridership.

The dataset used in this paper is NYC taxi data from 2009 to 2015. It contains trip information including pick-up/drop-off locations and pick-up/drop-off times.

NYC Collision Data: New York City vehicle collision data set contains ~ 32 thousand motor vehicle collisions.

The dataset is used for predicting multi-level socio-economic indicators from structural urban imagery.

OpenStreetMap data of six cities across three continents. The datasets are used to analyze the causal relationships between urban form and travel CO2 emissions.

Urban form data of six cities across three continents. The datasets are used to analyze the causal relationships between urban form and travel CO2 emissions.

The COHO dataset contains 330 US cities with a population of 100K or more, with road networks, building footprints, and block-level social economic metrics.

Geographic data for London.

Street image and satellite image data can capture urban qualities and improve house price estimation.

The dataset is used for functional linear regression models, where the coefficient function is shrunk towards a data-driven shape template γ.

Libcity: An open library for traffic prediction.

A dataset of paired map and aerial images, used to train a Pix2Pix model for image-to-image translation.