01664090

Component

The impact that trucks have on accident severity has long been a concern in the accident analysis literature. Furthermore, if a truck accident happens in the tunnel, there would result in more serious casualties due to closure and complexity of the tunnel. However, no studies have been reported to analyze traffic accidents that happened in tunnels and developed accidents database and statistical models to explore the influence of contributing factors on tunnel truck accidents. This paper summarizes a study that aims at examining the impact of risk factors on truck accidents injury propensity based on tunnel accidents data obtained from Shanghai, China. Ordered logit model was developed to analyze injury accidents and property damage only accidents. Results show that increased injury severity is associated with driver factors, such as male drivers, older drivers, fatigue driving, drunkenness and safety belt used improperly. Late night (00:00–06:59) and afternoon rushing hours (16:30-18:59), weekdays, snow or ice road conditions, combination truck, overload and single vehicle were also found to be significant to increase the probability of injury severity. In addition tunnel factors including two lanes, high speed limits (=80km/h), zone 3, extra-long tunnels (over 3000m) are also significantly associated with higher risk of severe injuries. Identification of these contributing factors for tunnel truck accidents can provide valuable information to help with new and improved tunnel safety control measures.

This paper was sponsored by TRB committee ANB70 Standing Committee on Truck and Bus Safety.

18-03934

English

7p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

References; Tables

Freight transportation; Injuries; Injury severity; Logits; Risk analysis; Statistical analysis; Traffic crashes; Trucks; Tunnels

Shanghai (China)

Freight Transportation; Highways

Transportation Research Board Annual Meeting 2018 Paper #18-03934

TRIS, TRB, ATRI

Jan 8 2018 10:58AM