Baselight

NYC Motor Vehicle Collisions To Person

Killed, Injured Case at 2021

@kaggle.kukuroo3_nyc_motor_vehicle_collisions_to_person

About this Dataset

NYC Motor Vehicle Collisions To Person

Context

It is data of a collision accident between a person and a motor vehicle that occurred in New York in 2021. Only cases of injury or death over $1,000 were filtered out. The date and time of the incident, the location of the injury, and the police description of the incident are summarized.

Content

  • CRASH_DATE
  • CRASH_TIME
  • PERSON_INJURY : Injured, killed, unspecified
  • PERSON_AGE : Automatically calculated based on date of birth
  • BODILY_INJURY : Injured body area (i.e. head, face, neck, etc.)
  • SAFETY_EQUIPMENT : Safety equipment being used (i.e. lap belt, harness, child restraint, air bag, etc.)
  • PERSON_SEX
  • PERSON_TYPE : Bicyclist, Motor Vehicle Occupant, Pedestrian
  • PED_LOCATION : Location of the pedestrian (i.e. at intersection, not at intersection)
  • CONTRIBUTING_FACTOR_2 : Factors contributing to the collision for designated vehicle
  • EJECTION : Indicates the following: Not ejected, partially ejected, or ejected from the vehicle
  • COMPLAINT : Type of physical complaint (ex. Concussion, severe burn, severe bleeding, etc.)
  • EMOTIONAL_STATUS : Apparent death, unconscious, semiconscious, etc.
  • VEHICLE_ID : Unique vehicle record associated with person. Foreign Key to the vehicle table
  • PERSON_ID : Person identification code assigned by system
  • CONTRIBUTING_FACTOR_1 : Factors contributing to the collision for designated vehicle
  • POSITION_IN_VEHICLE : Seating position #1-#8 (i.e. driver, front passenger, etc.)
  • PED_ROLE : Pedestrian, witness, in-line skater, other, etc.
  • UNIQUE_ID : Unique record code generated by system. Primary Key for Person table.
  • PED_ACTION : What the pedestrian was doing at time of crash (i.e., walking with the signal, against the signal, etc.)
  • COLLISION_ID : Crash identification code. Foreign Key, matches unique_id from the Crash table.

Inspiration

Through EDA, you can check the characteristics of each traffic incident by date and by type of incident.

Source

https://data.cityofnewyork.us/