We invite developers, engineers, statisticians, artists, academics and other interested members of the public to use the data we provide for analysis, development, visualization or whatever else moves you.
This channel is designed to poll live data from multiple bike share stations around the world. It contains data from ~50 cities such as: Portland, OR; Ottawa and Toronto CA; Abu Dhabi, and Prague - Brno, CZ
Motivate publishes bike share data for 80% of programs nationwide.
This public dataset was created by the Unites States Department of Transportation's National Highway Traffic Safety Administration (NHTSA) and includes 20 tables that describe numerous aspects of traffic accidents that resulted in fatalities. Aspects of traffic accidents include: the types of cars and roads, the maneuvers that preceded the accident, and the involvement of pedestrians and cyclists.
Visit https://cloud.google.com/bigquery/public-data/nhtsa for example queries!
The National Flood Hazard Layer (NFHL) is a compilation of GIS data that comprises a nationwide digital Flood Insurance Rate Map. The GIS data and services are designed to provide the user with the ability to determine the flood zone, base flood elevation, and floodway status for a particular location.
A “starter list” of tools and open data that can support community preparedness for floods.
The FEMA Flood Map Service Center (MSC) is the official public source for flood hazard information produced in support of the National Flood Insurance Program (NFIP).
This dataset is available to the public and can be attained through csv bulk download. It has a tremendous amount of data for weather events in the United States. The specific fields available can vary based on the type of weather event. For tornado segments, the database includes begin datetime, end datetime, begin lat/lon, end lat/lon, EF value, tornado width, etc. https://www.ncdc.noaa.gov/swdi/#Intro
Information from the public to ascertain the current frequency and characteristics of bicyclist and pedestrian activity, and identify deterrents to bicycling and walking
The Pedestrian Crash Data Study (PCDS) collected detailed data on motor vehicle vs pedestrian crashes.
In Pittsburgh, Autonomous Vehicle (AV) companies have been testing autonomous vehicles since September 2016. However, the tech is new, and there have been some high-profile behavior that we believe warrants a larger conversation. So in early 2017, we set out to design a survey to see both how BikePGH donor-members, and Pittsburgh residents at large, feel about about sharing the road with AVs as a bicyclist and/or as a pedestrian.
The Bicycle Crash Data report contains information on crashes involving only bicycles, between bicycles and motorized vehicles, and between bicycles and pedestrians.
Where do Citi Bikers ride? When do they ride? How far do they go? Which stations are most popular? What days of the week are most rides taken on? We've heard all of these questions and more from you, and we're happy to provide the data to help you discover the answers to these questions and more.
An index of pedestrian volumes tracking the long-term trends of neighborhood commercial corridors. Data is collected at 114 locations, including 100 on-street locations (primarily retail corridors), 13 East River and Harlem River bridge locations, and the Hudson River Greenway.