Serious Suzuki Gsxr crash on the A1(M) in Gateshead - 6 May 2022
Accident reference 2022101174242
Accident summary
On Friday 6 May 2022 at 14:23 a serious collision occurred near A1(M), Gateshead involving 1 vehicle (suzuki gsxr) and 1 casualty (1 serious) Weather at the time was recorded as raining no high winds. Road surface conditions were wet or damp. Lighting was described as daylight. A police officer attended the scene.
Key details
- Posted speed limit: 50 mph
- Road type: Dual carriageway
- Setting: Rural
Location
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Basic Information
| Accident Reference | 2022101174242 |
| Police Reference | 101174242 |
| Date & Time |
Friday
|
| Severity | Serious |
| Vehicles Involved | 1 |
| Casualties | 1 |
| Police Force | Northumbria |
| Police Officer Attended | Yes |
Road & Location Details
| Area Type | Rural |
| First Road | A1(M) |
| Second Road | Unclassified road |
| Road Type | Dual carriageway |
| Speed Limit | 50 mph |
| Trunk Road | Yes |
| Highway Authority | E08000037 |
| LSOA Code | E01008174 |
Environmental Conditions
| Light Conditions | Daylight |
| Weather Conditions | Raining no high winds |
| Road Surface Conditions | Wet or damp |
| Special Conditions | None |
| Carriageway Hazards | None |
Nearby or similar collisions
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SlightVehicles (1)
Vehicle 1
Vehicle Information
| Type | Motorcycle 125cc and under |
| Make/Model | SUZUKI GSXR |
| Vehicle Age | 3 years |
| Engine Capacity | 125cc |
| Fuel Type | Petrol |
| Left Hand Drive | Yes |
| Manoeuvre | Going ahead left-hand bend |
Driver Information
| Age | 41 |
| Sex | Male |
| Journey Purpose | Commuting to/from work |
| Home Area Type | Urban |
| IMD Decile | 4 (1=most deprived, 10=least deprived) |
Casualties (1)
Casualty 1
Basic Information
| Class | Driver or rider |
| Severity | Serious |
| Type | Motorcycle over 125cc rider or passenger |
| Age | 41 |
| Sex | Male |
| Associated Vehicle | Vehicle 1 |
Additional Details
| Home Area Type | Urban |
| IMD Decile | 4 (1=most deprived, 10=least deprived) |
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Data Source
This data is from the UK Department for Transport's STATS19 road safety dataset, available under the Open Government Licence v3.0.