City-scale car traffic and parking density maps from Uber Movement travel time data

Abstract

We generate car parking density maps from Uber travel time data for 33 cities worldwide. The resolution of the generated maps in time is one hour. The time periods for which we generate the results depend on the availability of the underlying Uber travel time measurements. At the time of writing this, Uber provides travel time data for the years 2015 - 2018 and distinguishes these by weekdays, weekends and the quarter of a year. In addition to the datasets that are distinguished by day type, Uber also provides travel time statistics that are collected regardless of the day type; these datasets include more measurements than the separated datasets and have therefore lower sparsity. The resolution of the generated maps in space varies and depends on how Uber divides cities into different zones. The parking maps can be used for an analysis of the entire suburban area of a town or the center of a town; the accuracy is also adequate for an analysis of parking densities within the city center of a town. The generated data is available in the folder "data". The generated car parking density maps are available for one arbitrary dataset of each city in folder "images". The images are further provided as Graphical Interchange Format (GIF) files in folder "gif"