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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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National Collision Database (NCDB) – a database containing all police-reported motor vehicle collisions on public roads in Canada. Selected variables (data elements) relating to fatal and injury collisions for the collisions from 1999 to the most recent available data.
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TwitterThis dataset includes all road traffic collisions reported to An Garda Síochána and forwarded to the RSA via an electronic data transfer of collision records.
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TwitterThe Motor Vehicle Collisions vehicle table contains details on each vehicle involved in the crash. Each row represents a motor vehicle involved in a crash. The data in this table goes back to April 2016 when crash reporting switched to an electronic system.
The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details. Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.
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TwitterTraffic collision reports recorded by the San Diego Police Department. Generally a report is not taken for property damage-only collisions that do not involve hit & run or DUI. The California Highway Patrol is responsible for handling collisions occurring on the freeway. This dataset includes basic information about collisions. Each row has a report_id, a unique identifier for the collision. A single collision may involve multiple people and/or vehicles. For collisions data that includes details about people and vehicles, use the Traffic Collisions Details dataset.
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TwitterThis dataset provides information on motor vehicle operators (drivers) involved in traffic collisions occurring on county and local roadways. The dataset reports details of all traffic collisions occurring on county and local roadways within Montgomery County, as collected via the Automated Crash Reporting System (ACRS) of the Maryland State Police, and reported by the Montgomery County Police, Gaithersburg Police, Rockville Police, or the Maryland-National Capital Park Police. This dataset shows each collision data recorded and the drivers involved. Please note that these collision reports are based on preliminary information supplied to the Police Department by the reporting parties. Therefore, the collision data available on this web page may reflect: -Information not yet verified by further investigation -Information that may include verified and unverified collision data -Preliminary collision classifications may be changed at a later date based upon further investigation -Information may include mechanical or human error This dataset can be joined with the other 2 Crash Reporting datasets (see URLs below) by the State Report Number. * Crash Reporting - Incidents Data at https://data.montgomerycountymd.gov/Public-Safety/Crash-Reporting-Incidents-Data/bhju-22kf * Crash Reporting - Non-Motorists Data at https://data.montgomerycountymd.gov/Public-Safety/Crash-Reporting-Non-Motorists-Data/n7fk-dce5 Update Frequency : Weekly
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Twitterhttps://data-hrm.hub.arcgis.com/pages/open-data-licencehttps://data-hrm.hub.arcgis.com/pages/open-data-licence
Point representation of traffic collisions which have occurred within the road right‐of‐way. Collisions are mapped according to the Motor Vehicle Collision Report. In some cases, insufficient information may result in spatial accuracy errors.The dataset was created to support the Road Safety Plan initiative, details available on Halifax.ca. The dataset only contains HRP/RCMP closed ROW collision incidents that were completed electronically.Halifax Regional Police & the Halifax Regional Municipality provides this information in good faith but provides no warranty, nor accepts any liability arising from any incorrect, incomplete or misleading information or its improper use. Metadata
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TwitterThese tables present high-level breakdowns and time series. A list of all tables, including those discontinued, is available in the table index. More detailed data is available in our data tools, or by downloading the open dataset.
We are proposing to make some changes to these tables in future, further details can be found alongside the latest provisional statistics.
The tables below are the latest final annual statistics for 2024, which are currently the latest available data. Provisional statistics for the first half of 2025 are also available, with provisional data for the whole of 2025 scheduled for publication in May 2026.
A list of all reported road collisions and casualties data tables and variables in our data download tool is available in the https://assets.publishing.service.gov.uk/media/6925869422424e25e6bc3105/reported-road-casualties-gb-index-of-tables.ods">Tables index (ODS, 28.9 KB).
https://assets.publishing.service.gov.uk/media/68d42292b6c608ff9421b2d2/ras-all-tables-excel.zip">Reported road collisions and casualties data tables (zip file) (ZIP, 11.2 MB)
RAS0101: https://assets.publishing.service.gov.uk/media/68d3cdeeca266424b221b253/ras0101.ods">Collisions, casualties and vehicles involved by road user type since 1926 (ODS, 34.7 KB)
RAS0102: https://assets.publishing.service.gov.uk/media/68d3cdfee65dc716bfb1dcf3/ras0102.ods">Casualties and casualty rates, by road user type and age group, since 1979 (ODS, 129 KB)
RAS0201: https://assets.publishing.service.gov.uk/media/68d3ce0bc908572e81248c1f/ras0201.ods">Numbers and rates (ODS, 37.5 KB)
RAS0202: https://assets.publishing.service.gov.uk/media/68d3ce17b6c608ff9421b25e/ras0202.ods">Sex and age group (ODS, 178 KB)
RAS0203: https://assets.publishing.service.gov.uk/media/67600227b745d5f7a053ef74/ras0203.ods">Rates by mode, including air, water and rail modes (ODS, 24.2 KB) - this table will be updated for 2024 once data is available for other modes.
RAS0301: https://assets.publishing.service.gov.uk/media/68d3ce2b8c739d679fb1dcf6/ras0301.ods">Speed limit, built-up and non-built-up roads (<span class="gem-c-attachmen
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TwitterAccuracy: The City of Ottawa provides this information in good faith but provides no warranty, nor accepts any liability arising from any incorrect, incomplete, or misleading information or its improper use.Collision Data Accuracy: Each reportable collision occurring on public roadways is sent to the City of Ottawa and is validated at least once. Approximately 50% of the records are validated once again by a senior staff. Additionally, many queries are run on the database looking for errors.X & Y Accuracy: Collisions are pinned according to information provided by the officer on the Motor Vehicle Collision Report. In some cases, insufficient information was provided, and the collision location is an estimate.Update Frequency: AnnuallyAttributes:X and Y Coordinate (MTM Zone 9, NAD83)IDGeo IDAccident yearLocation (RD1 @ RD2 or RD from RD 1 to RD 2) Classification of collision (non-fatal, fatal, property damage only)Initial impact type (Angle, turning movement, rear-end…)Road surface condition (Ice, wet, dry snow...)Environment (Clear, rain, snow…)Light (daylight, dawn, dusk…)Traffic control (stop, traffic signal, no control…)Number of VehiclesNumber of PedestriansNumber of BicyclesNumber of MotorcyclesMax Injury (Highest injury level in the collisions)Number of InjuriesNumber of Minimal Injuries (Person did not go to hospital when leaving the scene of the collision)Number of Minor Injuries (Person went to hospital and was treated in the emergency room, but not admitted)Number of Major Injuries (Person admitted to hospital. Includes person admitted for observation. This could be either life threatening or non-life threatening)Number of Fatal Injuries (Person killed immediately or within 30 days of the motor vehicle collision)Latitude and longitude (WGS1984)Contact: Transportation Data Collection & Analytics
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TwitterThis dataset contains crash information from the last five years to the current date. The data is based on the National Incident Based Reporting System (NIBRS). The data is dynamic, allowing for additions, deletions and modifications at any time, resulting in more accurate information in the database. Due to ongoing and continuous data entry, the numbers of records in subsequent extractions are subject to change.About Crash DataThe Cary Police Department strives to make crash data as accurate as possible, but there is no avoiding the introduction of errors into this process, which relies on data furnished by many people and that cannot always be verified. As the data is updated on this site there will be instances of adding new incidents and updating existing data with information gathered through the investigative process.Not surprisingly, crash data becomes more accurate over time, as new crashes are reported and more information comes to light during investigations.This dynamic nature of crash data means that content provided here today will probably differ from content provided a week from now. Likewise, content provided on this site will probably differ somewhat from crime statistics published elsewhere by the Town of Cary, even though they draw from the same database.About Crash LocationsCrash locations reflect the approximate locations of the crash. Certain crashes may not appear on maps if there is insufficient detail to establish a specific, mappable location.
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The Motor Vehicle Collisions crash table contains information about car accidents in New York City. Each row in this table represents a single accident. This data is collected by the police whenever there is an accident involving injuries, fatalities, or significant property damage (more than $1000).
To better understand and improve traffic safety, the New York City Police Department (NYPD) created a program called TrafficStat in 1998. This program is inspired by another successful program called CompStat, which was originally used to reduce homicides. TrafficStat applies similar principles to reduce fatal traffic accidents.
When there is a car accident, the police fill out a form called MV-104AN, which contains all the details about the accident. This form is required for any accident involving injuries or deaths. Before TrafficStat, there was no consistent way to collect and analyze traffic safety data across all NYPD precincts.
In 1999, the NYPD introduced the Traffic Accident Management System (TAMS), which required precincts to manually enter some basic information from the MV-104AN forms. This information included the number of accidents, injuries, and fatalities at intersections.
As the years went by, there was a need for more detailed traffic data to better understand and address traffic safety issues. In 2014, a citywide traffic safety initiative called Vision Zero began. Its goal is to eliminate traffic-related fatalities.
In March 2016, the NYPD replaced TAMS with a new system called the Finest Online Records Management System (FORMS). FORMS allows police officers to electronically enter all the information from MV-104AN forms using department cellphones or computers. This data is stored in a centralized database.
With FORMS in place, all the details from MV-104AN forms are stored for every traffic accident. This means that analysts can conduct more detailed and thorough studies of traffic safety to help achieve the Vision Zero goal of eliminating traffic fatalities in New York City.
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Twitter***The Los Angeles Police Department (LAPD) has transitioned traffic collision reporting to our new Records Management System (RMS) as part of our ongoing efforts to modernize data collection and comply with the FBI’s National Incident-Based Reporting System (NIBRS). This transition will improve the accuracy and detail of reported traffic-related incidents. During this process, there will be a delay in the availability of new traffic collision datasets while they are being developed for the new system. In the meantime, users will continue to see only historical data from the retired system. We appreciate your patience as we complete this transition. *** This dataset reflects traffic collision incidents in the City of Los Angeles dating back to 2010. This data is transcribed from original traffic reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.
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TwitterThis dataset includes all Motor Vehicle Collision (MVC) occurrences by their occurrence date and related offences. The MVC categories include property damage (PD) collisions, Fail to Remain (FTR) collisions, injury collisions and fatalities. This data is provided at the occurrence level, therefore multiple offences and/or victims can be associated with each record. Traffic Collisions DashboardDownload DocumentationIn this dataset, a collision is defined as the contact resulting from the motion of a motor vehicle or streetcar or its load, which produces property damage, injury or death. The term collision indicates that the initial point of contact involved at least one motor vehicle or streetcar.Definitions:Fatal Collisions occur when an individual’s injuries from a MVC result in a fatality within 30 days. Please note this category excludes:(i) Occurrences on private property(ii) Occurrences related to sudden death prior to collision (suicide or medical episode)(iii) Occurrences where the individual has died more than 30 days after the collisionPersonal Injury Collisions occur when an individual involved in a MVC suffers personal injuries. Fail to Remain Collisions occur when an individual involved in a MVC fails to stop and provide their information at the scene of a collision.Property Damage Collisions occur when an individual’s property has been damaged in a MVC or the value of damages is less than $2,000 for all involved parties.This data does not include occurrences that have been deemed unfounded. The definition of unfounded according to Statistics Canada is: “It has been determined through police investigation that the offence reported did not occur, nor was it attempted” (Statistics Canada, 2020).**** Statistics Canada. 2020. Uniform Crime Reporting Manual. Surveys and Statistical Programs. Canadian Centre for Justice Statistics.
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TwitterTraffic collision data includes time, location, severity, cause, type, party information
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TwitterMotor Vehicle Collisions - Crashes Metadata Updated: August 19, 2023
The Motor Vehicle Collisions crash table contains details on the crash event. Each row represents a crash event. The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details.For the most accurate, up to date statistics on traffic fatalities, please refer to the NYPD Motor Vehicle Collisions page (updated weekly) or Vision Zero View (updated monthly).
Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.
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TwitterSerialNumber - The serial number for each crash incident and is applied to each unit involved. Use this field as the dissolve field to update Raw_Crash_Dissolve.PMID - A unique ID field used to summarize crashes per segment to join to the model network.
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TwitterCrash data shows information about each traffic crash on city streets within the City of Chicago limits and under the jurisdiction of Chicago Police Department (CPD). Data are shown as is from the electronic crash reporting system (E-Crash) at CPD, excluding any personally identifiable information. Records are added to the data portal when a crash report is finalized or when amendments are made to an existing report in E-Crash. Data from E-Crash are available for some police districts in 2015, but citywide data are not available until September 2017. About half of all crash reports, mostly minor crashes, are self-reported at the police district by the driver(s) involved and the other half are recorded at the scene by the police officer responding to the crash. Many of the crash parameters, including street condition data, weather condition, and posted speed limits, are recorded by the reporting officer based on best available information at the time, but many of these may disagree with posted information or other assessments on road conditions. If any new or updated information on a crash is received, the reporting officer may amend the crash report at a later time. A traffic crash within the city limits for which CPD is not the responding police agency, typically crashes on interstate highways, freeway ramps, and on local roads along the City boundary, are excluded from this dataset.
All crashes are recorded as per the format specified in the Traffic Crash Report, SR1050, of the Illinois Department of Transportation. The crash data published on the Chicago data portal mostly follows the data elements in SR1050 form. The current version of the SR1050 instructions manual with detailed information on each data elements is available here.
As per Illinois statute, only crashes with a property damage value of $1,500 or more or involving bodily injury to any person(s) and that happen on a public roadway and that involve at least one moving vehicle, except bike dooring, are considered reportable crashes. However, CPD records every reported traffic crash event, regardless of the statute of limitations, and hence any formal Chicago crash dataset released by Illinois Department of Transportation may not include all the crashes listed here.
Change 11/21/2023: We have removed the RD_NO (Chicago Police Department report number) for privacy reasons.
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A. SUMMARY This table contains all victims (parties who are injured) involved in a traffic crash resulting in an injury in the City of San Francisco. Fatality year-to-date crash data is obtained from the Office of the Chief Medical Examiner (OME) death records, and only includes those cases that meet the San Francisco Vision Zero Fatality Protocol maintained by the San Francisco Department of Public Health (SFDPH), San Francisco Police Department (SFPD), and San Francisco Municipal Transportation Agency (SFMTA). Injury crash data is obtained from SFPD’s Interim Collision System for 2018 to YTD, Crossroads Software Traffic Collision Database (CR) for years 2013-2017 and the Statewide Integrated Transportation Record System (SWITRS) maintained by the California Highway Patrol for all years prior to 2013. Only crashes with valid geographic information are mapped. All geocodable crash data is represented on the simplified San Francisco street centerline model maintained by the Department of Public Works (SFDPW). Collision injury data is queried and aggregated on a quarterly basis. Crashes occurring at complex intersections with multiple roadways are mapped onto a single point and injury and fatality crashes occurring on highways are excluded.
The crash, party, and victim tables have a relational structure. The traffic crashes table contains information on each crash, one record per crash. The party table contains information from all parties involved in the crashes, one record per party. Parties are individuals involved in a traffic crash including drivers, pedestrians, bicyclists, and parked vehicles. The victim table contains information about each party injured in the collision, including any passengers. Injury severity is included in the victim table.
For example, a crash occurs (1 record in the crash table) that involves a driver party and a pedestrian party (2 records in the party table). Only the pedestrian is injured and thus is the only victim (1 record in the victim table).
B. HOW THE DATASET IS CREATED Traffic crash injury data is collected from the California Highway Patrol 555 Crash Report as submitted by the police officer within 30 days after the crash occurred. All fields that match the SWITRS data schema are programmatically extracted, de-identified, geocoded, and loaded into TransBASE. See Section D below for details regarding TransBASE.
C. UPDATE PROCESS After review by SFPD and SFDPH staff, the data is made publicly available approximately a month after the end of the previous quarter (May for Q1, August for Q2, November for Q3, and February for Q4).
D. HOW TO USE THIS DATASET This data is being provided as public information as defined under San Francisco and California public records laws. SFDPH, SFMTA, and SFPD cannot limit or restrict the use of this data or its interpretation by other parties in any way. Where the data is communicated, distributed, reproduced, mapped, or used in any other way, the user should acknowledge TransBASE.sfgov.org as the source of the data, provide a reference to the original data source where also applicable, include the date the data was pulled, and note any caveats specified in the associated metadata documentation provided. However, users should not attribute their analysis or interpretation of this data to the City of San Francisco. While the data has been collected and/or produced for the use of the City of San Francisco, it cannot guarantee its accuracy or completeness. Accordingly, the City of San Francisco, including SFDPH, SFMTA, and SFPD make no representation as to the accuracy of the information or its suitability for any purpose and disclaim any liability for omissions or errors that may be contained therein. As all data is associated with methodological assumptions and limitations, the City recommends that users review methodological documentation associated with the data prior to its analysis, interpretation, or communication.
This dataset can also be queried on the TransBASE Dashboard. TransBASE is a geospatially enabled database maintained by SFDPH that currently includes over 200 spatially referenced variables from multiple agencies and across a range of geographic scales, including infrastructure, transportation, zoning, sociodemographic, and collision data, all linked to an intersection or street segment. TransBASE facilitates a data-driven approach to understanding and addressing transportation-related health issues, informed by a large and growing evidence base regarding the importance of transportation system design and land use decisions for health. TransBASE’s purpose is to inform public and private efforts to improve transportation system safety, sustainability, community health and equity in San Francisco.
E. RELATED DATASETS Traffic Crashes Resulting in Injury Traffic Crashes Resulting in Injury: Parties Involved TransBASE Dashboard iSWITRS TIMS
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This data has been consolidated from Victoria Police reports and Hospital injury information, then validated and enriched to provide a comprehensive and detailed view of road crashes and injuries across Victoria. The data provides users with information about Victorian fatal and injury road crash data based on time, location, conditions, crash type, road user type, and other relevant attributes. Data Currency This information will be updated on a monthly basis but with a 7 month lag in order to provide a comprehensive view of incidents during that time period. Data Structure The CSV data is split across multiple tables with attributes to facilitate joins between the information. This has been captured as part of the supporting documentation in the metadata. The tables and attributes include: - accident (basic accident details, time, severity, location) - person (person based details, age, gender etc) - vehicle (vehicle based data, vehicle type, make etc) - accident_event (sequence of events e.g. left road, rollover, caught fire) - road_surface_cond (whether road was wet, dry, icy etc) - atmospheric_cond (rain, winds etc) - sub_dca (detailed codes describing accident) - accident_node (master location table - NB subset of accident table) - Node Table with Lat/Long references There is also a lite Victoria Road Crash .csv dataset is a single flat file containing a subset of the attributes from the other CSV files. It provides a single set of attributes for each road crash that has occurred within Victoria. Supporting documentation in the metadata will provide further details of the attributes. This used to be a .GeoJSON file however due to feedback from a significant number of Open Data users, this was changed to a .csv file. Disclaimer No claim is made as to the accuracy or currency of the content on this site at any time, there will be instances where attributes relating to a crash are amended over time. This data is provided on the basis that users undertake responsibility for assessing the relevance and accuracy of its content. Data relating to fatal crashes that have occurred recently are provisional and are subject to change or removal. They will have a high level of incompleteness and details will be amended before they are finalised. The Victorian Government and Department of Transport and Planning accept no liability to any person or group for the data or advice (or the use of such data or advice) which is provided or incorporated into it by reference.
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TwitterA. SUMMARY This table contains all fatalities resulting from a traffic crash in the City of San Francisco. Fatality year-to-date crash data is obtained from the Office of the Chief Medical Examiner (OME) death records, and only includes those cases that meet the San Francisco Vision Zero Fatality Protocol maintained by the San Francisco Department of Public Health (SFDPH), San Francisco Police Department (SFPD), and San Francisco Municipal Transportation Agency (SFMTA). Injury crash data is obtained from SFPD’s Interim Collision System for 2018 to YTD, Crossroads Software Traffic Collision Database (CR) for years 2013-2017 and the Statewide Integrated Transportation Record System (SWITRS) maintained by the California Highway Patrol for all years prior to 2013. Only crashes with valid geographic information are mapped. All geocodable crash data is represented on the simplified San Francisco street centerline model maintained by the Department of Public Works (SFDPW). Collision injury data is queried and aggregated on a quarterly basis. Crashes occurring at complex intersections with multiple roadways are mapped onto a single point and injury and fatality crashes occurring on highways are excluded. The fatality table contains information about each party injured or killed in the collision, including any passengers. B. HOW THE DATASET IS CREATED Traffic crash injury data is collected from the California Highway Patrol 555 Crash Report as submitted by the police officer within 30 days after the crash occurred. All fields that match the SWITRS data schema are programmatically extracted, de-identified, geocoded, and loaded into TransBASE. See Section D below for details regarding TransBASE. This table is filtered for fatal traffic crashes. C. UPDATE PROCESS After review by SFPD and SFDPH staff, the data is made publicly available approximately a month after the end of the previous quarter (May for Q1, August for Q2, November for Q3, and February for Q4). D. HOW TO USE THIS DATASET This data is being provided as public information as defined under San Francisco and California public records laws. SFDPH, SFMTA, and SFPD cannot limit or restrict the use of this data or its interpretation by other parties in any way. Where the data is communicated, distributed, reproduced, mapped, or used in any other way, the user should acknowledge the Vision Zero initiative and the TransBASE database as the source of the data, provide a reference to the original data source where also applicable, include the date the data was pulled, and note any caveats specified in the associated metadata documentation provided. However, users should not attribute their analysis or interpretation of this data to the City of San Francisco. While the data has been collected and/or produced for the use of the City of San Francisco, it cannot guarantee its accuracy or completeness. Accordingly, the City of San Francisco, including SFDPH, SFMTA, and SFPD make no representation as to the accuracy of the information or its suitability for any purpose and disclaim any liability for omissions or errors that may be contained therein. As all data is associated with methodological assumptions and limitations, the City recommends that users review methodological documentation associated with the data prior to its analysis, interpretation, or communication. TransBASE is a geospatially enabled database maintained by SFDPH that currently includes over 200 spatially referenced variables from multiple agencies and across a range of geographic scales, including infrastructure, transportation, zoning, sociodemographic, and collision data, all linked to an intersection or street segment. TransBASE facilitates a data-driven approach to understanding and addressing transportation-related health issues, informed by a large and growing evidence base regarding the importance of transportation system design and land u
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TwitterThe Motor Vehicle Collisions person table contains details for people involved in the crash. Each row represents a person (driver, occupant, pedestrian, bicyclist,..) involved in a crash. The data in this table goes back to April 2016 when crash reporting switched to an electronic system.
The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details. Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.
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National Collision Database (NCDB) – a database containing all police-reported motor vehicle collisions on public roads in Canada. Selected variables (data elements) relating to fatal and injury collisions for the collisions from 1999 to the most recent available data.