Building upon the National Transportation Data Challenge efforts, Splunk, Inc. and the Big Data Innovation Hubs will make available free trial access to Splunk Enterprise and Splunk Cloud to participants, including access to our Splunkbase community and open data inputs and resources. Interested participants can also enroll in the Splunk Developer Program, enabling use of any technology platform, language, framework or approach.
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.
Between 2005 and 2014, a total of 46,149 people were struck and killed by cars while walking in the United States. In 2014, the most recent year for which data are available, 4,884 people were killed by a car while walking—105 people more than in 2013. Dangerous by Design 2016 takes a closer look at this alarming epidemic. The fourth edition once again examines the metro areas that are the most dangerous for people walking. It also includes a racial and income-based examination of the people who are most at risk, and for the first time also ranks states by their danger to pedestrians.
As part of the Transportation Safety Data Challenge, West Big Data Hub organizers introduced the e-mission and OpenSidewalks projects. e-mission, from UC Berkeley, is an open-source, extensible platform for collecting human travel data. OpenSidewalks, from UWashington (supported by The Taskar Center for Accessible Technology, and the eScience Institute), works with local communities to collect open data about sidewalk infrastructure and accessibility
When projections showed Hurricane Harvey could bring a record setting amount of rain to Houston, the graphics desk at the New York Times started exploring ways of showing the rainfall.
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.
Results of the City's bicycle and pedestrian counts from 2010-2016
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.