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Chicago Road Incident Analysis Dataset
Data Science and Analytics
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About
Car crash data from Chicago offers a detailed record of vehicular incidents occurring in the city from 2001 onwards. This tabular dataset includes information on crash dates, speed limits, weather conditions, road surface conditions, and the types of collisions. It serves as a valuable resource for urban planners, safety analysts, and researchers aiming to understand traffic accident patterns, identify high-risk areas, and develop strategies to improve road safety. The data captures various environmental and human factors related to each crash, such as lighting conditions, traffic control devices, and the primary causes of accidents.
Columns
- CRASH_RECORD_ID: A unique identifier for each crash incident.
- RD_NO: The road number associated with the crash location.
- CRASH_DATE_EST_I: A flag indicating if the crash date was estimated.
- CRASH_DATE: The specific date and time when the crash occurred.
- POSTED_SPEED_LIMIT: The posted speed limit at the location of the crash.
- TRAFFIC_CONTROL_DEVICE: The type of traffic control present, such as traffic signals or no controls.
- DEVICE_CONDITION: The operational condition of the traffic control device at the time of the crash.
- WEATHER_CONDITION: The prevailing weather conditions during the incident.
- LIGHTING_CONDITION: The lighting conditions at the time of the crash.
- FIRST_CRASH_TYPE: The initial type of impact in the crash, such as a rear-end collision or with a parked vehicle.
- TRAFFICWAY_TYPE: The type of roadway where the crash occurred.
- LANE_CNT: The total count of lanes at the crash location.
- ALIGNMENT: The alignment of the road, such as straight and level.
- ROADWAY_SURFACE_COND: The condition of the road surface, like dry or wet.
- ROAD_DEFECT: Any defects present on the road surface.
- REPORT_TYPE: The method of reporting the crash, such as on-scene or a desk report.
- CRASH_TYPE: The general outcome of the crash, primarily indicating if there were injuries.
- INTERSECTION_RELATED_I: A flag indicating if the crash was related to an intersection.
- NOT_RIGHT_OF_WAY_I: A flag for incidents involving a failure to yield the right-of-way.
- HIT_AND_RUN_I: A flag indicating if the incident was a hit-and-run.
- DAMAGE: An estimation of the monetary value of the damage caused by the crash.
- DATE_POLICE_NOTIFIED: The date and time when the police were notified of the crash.
- PRIM_CONTRIBUTORY_CAUSE: The primary identified cause contributing to the crash.
- SEC_CONTRIBUTORY_CAUSE: A secondary identified cause contributing to the crash.
- STREET_NO: The street number of the crash location.
- STREET_DIRECTION: The directional prefix of the street name (e.g., N, S, E, W).
- STREET_NAME: The name of the street where the crash occurred.
- BEAT_OF_OCCURRENCE: The police beat where the incident happened.
- PHOTOS_TAKEN_I: A flag indicating whether photos were taken at the scene.
- STATEMENTS_TAKEN_I: A flag indicating whether statements were taken.
- DOORING_I: A flag indicating if the crash was a 'dooring' incident.
- WORK_ZONE_I: A flag indicating if the crash occurred in a work zone.
- WORK_ZONE_TYPE: The type of work zone, if applicable.
- WORKERS_PRESENT_I: A flag indicating if workers were present in the work zone.
- NUM_UNITS: The number of vehicles or units involved in the crash.
- MOST_SEVERE_INJURY: A classification of the most severe injury sustained in the crash.
- INJURIES_TOTAL: The total number of injuries.
- INJURIES_FATAL: The total number of fatal injuries.
- INJURIES_INCAPACITATING: The total number of incapacitating injuries.
- INJURIES_NON_INCAPACITATING: The total number of non-incapacitating injuries.
- INJURIES_REPORTED_NOT_EVIDENT: The total number of reported, non-evident injuries.
- INJURIES_NO_INDICATION: The count of individuals with no indication of injury.
- INJURIES_UNKNOWN: The count of injuries with an unknown status.
- CRASH_HOUR: The hour of the day when the crash occurred (0-23).
- CRASH_DAY_OF_WEEK: The day of the week of the crash.
- CRASH_MONTH: The month of the year of the crash.
- LATITUDE: The latitude coordinate of the crash location.
- LONGITUDE: The longitude coordinate of the crash location.
- LOCATION: The combined latitude and longitude coordinates for the crash location.
Distribution
The data is available as a single CSV file named
Traffic_Crashes_-_Crashes.csv. It is structured with 49 columns and contains approximately 746,000 records.Usage
- Conducting detailed analysis of traffic accident patterns and contributing factors.
- Identifying high-risk intersections and roadways for safety improvement initiatives.
- Developing predictive models to forecast accident probability based on weather, time, and location.
- Informing urban planning and traffic management policies.
- Supporting insurance risk assessment models.
Coverage
This dataset covers car crashes within the city of Chicago, United States. The temporal scope spans from early 2013 to July 2023. There are no specific demographic limitations mentioned, as the data focuses on the incidents themselves.
License
CC0: Public Domain
Who Can Use It
- Urban Planners and Civil Engineers: To analyse accident hotspots and design safer road infrastructure.
- Data Scientists and Researchers: For statistical modelling to understand the underlying causes of traffic accidents.
- Public Safety Officials: To inform traffic law enforcement strategies and public awareness campaigns.
- Insurance Companies: For actuarial analysis and developing risk models for vehicle insurance.
- Students and Academics: As a resource for projects and studies in transportation, public health, and data analysis.
Dataset Name Suggestions
- Chicago Vehicle Collision Records
- City of Chicago Traffic Accident Data
- Chicago Road Incident Analysis Dataset
- Historical Car Crash Data for Chicago
Attributes
Original Data Source: Chicago Road Incident Analysis Dataset
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