This data was provided by the St. Paul Police Department and contains all available information relating to bike and pedestrian crashes in St. Paul.

On Road Cyclist Crashes, since 2012, which have been reported by the Police or the Public through the AFP Crash Report Form. Please note; Although crash data is updated on regular basses it will always have a backlog of entries hence it is not a true reflection of the up to date crash locations. Crash locations are only indicative and may not reflect an accurate position of persons involved in an incident. Casualty crashes are occasionally omitted from some maps or crash reports if they are still under investigation.

The main source of the crash data is owned and maintained by the Virginia Department of Motor Vehicle (DMV). DMV’s Traffic Records Electronic Data System (TREDS) is a state-of-the-art data system maintained by the DMV Highway Safety Office (HSO) that automates and centralizes all crash data in Virginia. Per data sharing use agreement with DMV, VDOT publishes the non-privileged crash data through Virginia Roads data portal. In providing this data, VDOT assumes no responsibility for the accuracy and completeness of the data. In the process of recording and compiling the data, some deletions and/or omissions of data may occur and VDOT is not responsible for any such occurrences. The most recent data contained in this dataset is preliminary and subject to change.

Please be advised that, under Title 23 United State Code – Section 407, this crash information cannot be used in discovery or as evidence in a Federal or State court proceeding or considered for other purposes in any action for damages against VDOT or the State of Virginia arising from any occurrence at the location identified.

All users shall comply with and be subject to all applicable laws and regulations, whether federal or state, in connection with any of the receipt and use of DMV data including, but not limited to, (1) the Federal Drivers Privacy Protection Act (18 U.S.C. § 2721 et seq.), (2) the Government Data Collection and Dissemination Practices Act (Va. Code § 2.2-3800 et seq.), (3) the Virginia Computer Crimes Act (Va. Code § 18.2-152.1 et seq.), (4) the provisions of Va. Code §§ 46.2-208 and 58.1-3, and (5) any successor rules, regulations, or guidelines adopted by DMV with regard to disclosure or dissemination of any information obtained from DMV records or files.

DISCLAIMER: This chart may be based on preliminary information that has not yet been verified and may be changed at a later date due to additional investigation. Additionally, the data entry process may include mechanical and/or human errors. Therefore, the Vermont State Police does not guarantee the accuracy, completeness, timeliness, or correct sequencing of the information provided in this chart.

SUMMARY: This chart contains information related to fatal traffic crashes reported by the Vermont State Police between January 1, 2010 and the prior month to date. These data are extracted from the Vermont Agency of Transportation’s electronic crash reporting system, WebCrash, on a monthly basis. This particular map is made available in an effort to highlight the dangerous nature of Vermont highways. Should you have questions about this data, please contact the Vermont Agency of Transportation at 802-828-2657.

Details of Motor Vehicle Collisions in New York City provided by the Police Department (NYPD).

In this blog I’ll share the workflow and tools used in the GIS part of this analysis. To understand where crashes are occurring, first the dataset had to be mapped. The software of choice in this instance was ArcGIS, though most of the analysis could have been done using QGIS. Heat maps are all the rage, and if you want to make simple heat maps for free and you appreciate good documentation, I recommend the QGIS Heatmap plugin. There are also some great tools in the free open-source program GeoDa for spatial statistics.

This service contains layers that are used in the Weber/Morgan County Pedestrain Safety Story map. It contains location and related information for pedestrian-related crashes occuring during a three-year analysis period (2016-18). The service was developed to assist a Move Utah meeting with Weber and Morgan Counties regarding pedestrian safety. The service also contains heat maps at two different resolutions showing the concentrations of these pedestrian-related crashes. Questions about this service and related maps can be directed to the Active Transportation Manager, Heidi Goedhart.

The goal of this project was to perform a comprehensive evaluation of crash causes and risk factors to identify the root causes of crashes involving bicyclists and pedestrians in San Antonio, TX. The research included the development of a database of bicycle and pedestrian crash reports in the target area, calculation of crash counts and rates, identifying road segments and intersections with highly concentrated bicycle and pedestrian crashes, and the development of effective safety countermeasures. Several variables and factors were analyzed, including driver characteristics such as age and gender, road-related factors, and environmental factors such as weather conditions and time of the day. Bivariate analysis and logistic regression were used to identify the most significant predictors of severe pedestrian/bicyclist crashes. Geospatial analysis was used to investigate crash frequency and severity. High-risk locations were identified through heat maps and hotspot analysis. The downtown area had the highest crash density, but crash severity hotspots were identified outside of the downtown area. The strongest predictors of severe injury include lighting condition, road class, road speed limit, traffic control, collision type, and the age and gender of the pedestrian/bicyclist. Fatal and incapacitating injury risk increased substantially when the pedestrian/bicyclist was at fault. Resource allocation to high-risk locations, a reduction in the speed limit, an upgrade of the lighting facilities in high pedestrian activity areas, educational campaigns for targeted audiences, the implementation of more crosswalks, pedestrian refuge islands, and raised medians, and the use of leading pedestrian/bicyclist interval and hybrid beacons are recommended.

bronx accidents at intersections as reported by the NYPD. Vehicle type involvement data has been parsed for visualization use

Every year crashes happen on the New Zealand Roads. These crashes are reported on by Waka Kotahi the New Zealand Transport Agency (NZTA). This web map displays geographic locations of crashes that occurred in 2014 in Wellington as a Heat Map. All details that could identify persons involved in the crash have been removed.

Reported intersection accidents in the Bronx for the month of June, 2013

This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

Page 1, 8 and 9 in the 2019 Web ApplicationThis Web Map is used in the Vision Zero 2019 Web Application. Questions should be directed to Evan Rubin (GIS Administrator). Map consists of PennDot data from 2014-2018.Used by: Vision Zero 2019 Web Application Related Maps: Vision Zero All Crashes 2019Vision Zero Pedestrian 2019Vision Zero All Crashes Heat Map 2019Vision Zero Bicycle 2019Vision Zero Motorcycle 2019Vision Zero Intersection 2019

Heatmap of cross-validation of the 1000x monte carlotest.