Karnataka Road Accidents Dataset: Detailed Description

ℹ️ This dataset offers comprehensive insights into road accidents occurring in Karnataka, India, focusing on incidents within Bagalkot district.

Columns Description:

1. DISTRICTNAME: Name of the district where the accident occurred.
2. UNITNAME: Name of the specific police station or unit handling the accident report.
3. Crime_No: Unique identifier for the accident report.
4. Year: Year in which the accident took place.
5. RI: Report Index, providing additional indexing or classification information.
6. Noofvehicle_involved: Number of vehicles involved in the accident.
7. Accident_Classification: Classification of the accident.
8. Accident_Spot: Description of the location where the accident occurred.
9. Accident_Location: General location of the accident.
10. Accident_SubLocation: Specific details about the accident location.
11. Accident_SpotB: Additional details about the accident spot.
12. Main_Cause: Primary cause attributed to the accident.
13. Hit_Run: Indicates whether the accident involved a hit-and-run scenario.
14. Severity: Severity level of the accident.
15. Collision_Type: Type of collision that occurred.
16. Junction_Control: Control measures at the accident junction.
17. Road_Character: Characteristics of the road where the accident occurred.
18. Road_Type: Type of road involved in the accident.
19. Surface_Type: Surface type of the road.
20. Surface_Condition: Condition of the road surface at the time of the accident.
21. Road_Condition: Overall condition of the road during the accident.
22. Weather: Weather conditions prevailing at the time of the accident.
23. Lane_Type: Type of lane markings or division on the road (if applicable).
24. Road_Markings: Markings present on the road.
25. Spot_Conditions: Conditions at the accident spot.
26. Side_Walk: Presence of a sidewalk at the accident location.
27. RoadJunction: Details about road junctions involved in the accident.
28. Collision_TypeB: Additional details about the collision type.
29. Accident_Road: Specific road where the accident occurred.
30. Landmark_first: First landmark associated with the accident location.
31. Landmark_second: Second landmark associated with the accident location.
32. Distance_LandMark_First: Distance from the first landmark to the accident spot.
33. Distance_LandMark_Second: Distance from the second landmark to the accident spot.
34. Accident_Description: Detailed description of the accident.
35. Latitude: Latitude coordinates of the accident location.
36. Longitude: Longitude coordinates of the accident location.

Potential Use Cases:

1. 🚦 Road Safety Analysis: Identify trends and patterns in road accidents for road safety research.
2. 📊 Policy Formulation: Formulate effective road safety policies and measures based on dataset insights.
3. 👮 Law Enforcement: Allocate resources for effective patrolling and enforcement in accident-prone areas.
4. 🏙️ Urban Planning: Design safer road infrastructure by incorporating dataset insights into city planning.
5. 💼 Insurance Purposes: Assess risk and determine insurance premiums for accident-related claims.

This dataset serves as a valuable resource for stakeholders striving to improve road safety and reduce accidents in Karnataka.