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Development of a Simple Tool to EnhanceDriver Identification in MotorcycleAccidents, Covering both Collision andNon-collision Subtypes |
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| รหัสดีโอไอ | |
| Creator | Sombat Muengtaweepongsa |
| Title | Development of a Simple Tool to EnhanceDriver Identification in MotorcycleAccidents, Covering both Collision andNon-collision Subtypes |
| Contributor | Gampon Kluakamkao, Pakpoom Wongyikul,Thanin Lokeskrawee, Prathompong Jantapoon, Pongsabhak Keelapaeng |
| Publisher | Research Administration Division |
| Publication Year | 2567 |
| Journal Title | Science & Technology Asia |
| Journal Vol. | 29 |
| Journal No. | 3 |
| Page no. | 244-255 |
| Keyword | Driver, Forensic, Fracture, Motorcycle accident, Prediction model, Traffic |
| URL Website | https://www.tci-thaijo.org/index.php/SciTechAsia/index |
| Website title | ThaiJo2 |
| ISSN | 2586-9000 |
| Abstract | In Lampang province, Thailand, motorcycle-related road traffic collisions are com-mon, and the differentiation between drivers and passengers is crucial for legal proceedings.This study aimed to develop and validate two multivariable predictive models that differen-tiate between motorcycle drivers and passengers based on demographics and fracture pat-terns. Retrospective data from patients involved in motorcycle accidents from January 2014to December 2017 at Lampang Hospital were used to construct models. Model 1 focused onmotorcycle collisions with other vehicles, while Model 2 focused on non-collision motorcy-cle accidents. Predictor selection was done through multivariable logistic regression usinga stepwise backward elimination method. A total of 1,816 patients with fractures from mo-torcycle accidents were included, with 1,583 categorized as drivers and 233 as passengers.The final model identified six significant predictors: age categories, gender, pelvis and lum-bar spine fractures, wrist and hand level fractures, femur fractures, and lower leg fractures.Both models demonstrated acceptable discriminative abilities, indicating their potential asuser-friendly tools for medical and legal adjudication following motorcycle accidents. |
