A Review on Factors Affecting Large Truck-Involved Crashes

• Main Authors: Milad Safar (Author), Khaled Zoroufchi Benis (Author), Seyed Shamseddin Alizadeh (Author), Homayoun Sadeghi Bazargani (Author), Mohammad shakerkhatibi (Author), Nazanin Masoudi (Author)
• Format: Book
• Published: Iranian Journal of Health, Safety and Environment, 2024-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 2345-3206; 2345-5535
• Keywords: crash; large truck; large truck-involved crashes; severity; Public aspects of medicine; RA1-1270
• Source: Iranian Journal of Health, Safety and Environment, Vol 10, Iss 1, Pp 1559-1570 (2024)

Crashes involving large trucks have a significant association with increasing fatalities or serious injuries. Identifying the factors affecting large trucks crashes can be helpful in reducing the number of crashes and corresponded consequences. The purpose of this review was to appraise the published papers on factors affecting large truck-involved crashes. Data were compiled through searching Google Scholar, Scopus, Science Direct, and Web of Science using keywords included "large truck and accident severity", "large truck and accident", "large truck and crash severity", "large truck and crash", "large truck and fatal accident", "large truck and fatal crash", "large truck and injury", and "large truck and collide". The accomplishment process had two steps: excluding unrelated studies and reviewing related ones to select papers meeting the inclusion criteria. According to data collected, 31 papers achieved the inclusion criteria. The results indicated that speed, driver age, location type, collision type, seat belt wearing, light condition, vehicle technical condition, time, road surface condition, and accident type were common factors in the included papers. From the perspective of our study, speed, location type, and light condition seem to be the most frequent factors in crashes involving large trucks. The present study helps to access the studies on factors affecting the large truck-involved crashes. Thereby, the experts can perform measures to decrease the probability and severity of traffic accidents.