Abstract
There exist several studies examining influential factors on the occurrences of different crashes between various motorised vehicles but surprisingly very little has empirically investigated the relationship between various types of crashes, occurring at a specific type of junction, and different motorcyclist injury levels. The complex interaction of factors, for example, different crash types, traffic control measures and the involved vehicles, which influences motorcyclist injury severity resulting from a junction-type accident, is not well explored and understood. In order to untangle the contributions of crash configurations, traffic control measures and the involved vehicles, this study aims at investigating crash consequences conditioned on crash occurrence at T-junctions in the UK, while controlling for environment, vehicle and demographic factors. The statistical modelling techniques applied are the ordered- 7 discrete choice models (i.e., the ordered probit/logit models) using the data extracted from the UK STATS 19 accident injury database (2001-2004), measured on three injury levels: fatal, serious and slight. The modelling results uncover crucial determinants of injury severity among motorcyclists at T-junctions in the UK, and offer an insight into potential prevention strategies that could be undertaken to lessen motorcyclist injury levels. The implications of this study and findings are then discussed.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Conference on Traffic and Transportation Studies, ICTTS |
| Pages | 939-948 |
| Number of pages | 10 |
| Publication status | Published - 2006 |
| Externally published | Yes |
| Event | 5th International Conference on Traffic and Transportation Studies, ICTTS - Xi'an, China Duration: Aug 2 2006 → Aug 4 2006 |
Other
| Other | 5th International Conference on Traffic and Transportation Studies, ICTTS |
|---|---|
| Country | China |
| City | Xi'an |
| Period | 8/2/06 → 8/4/06 |
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Keywords
- Crash configuration
- Motorcyclist injury severity at T-junction
- Ordered-discrete choice models
ASJC Scopus subject areas
- Engineering(all)
Cite this
Exploring motorcytclist injury severity at T-junction in the UK using the ordered probit/logit models. / Chihwei, Pai; Saleh, Wafaa; Maher, Mike.
Proceedings of the Conference on Traffic and Transportation Studies, ICTTS. 2006. p. 939-948.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Exploring motorcytclist injury severity at T-junction in the UK using the ordered probit/logit models
AU - Chihwei, Pai
AU - Saleh, Wafaa
AU - Maher, Mike
PY - 2006
Y1 - 2006
N2 - There exist several studies examining influential factors on the occurrences of different crashes between various motorised vehicles but surprisingly very little has empirically investigated the relationship between various types of crashes, occurring at a specific type of junction, and different motorcyclist injury levels. The complex interaction of factors, for example, different crash types, traffic control measures and the involved vehicles, which influences motorcyclist injury severity resulting from a junction-type accident, is not well explored and understood. In order to untangle the contributions of crash configurations, traffic control measures and the involved vehicles, this study aims at investigating crash consequences conditioned on crash occurrence at T-junctions in the UK, while controlling for environment, vehicle and demographic factors. The statistical modelling techniques applied are the ordered- 7 discrete choice models (i.e., the ordered probit/logit models) using the data extracted from the UK STATS 19 accident injury database (2001-2004), measured on three injury levels: fatal, serious and slight. The modelling results uncover crucial determinants of injury severity among motorcyclists at T-junctions in the UK, and offer an insight into potential prevention strategies that could be undertaken to lessen motorcyclist injury levels. The implications of this study and findings are then discussed.
AB - There exist several studies examining influential factors on the occurrences of different crashes between various motorised vehicles but surprisingly very little has empirically investigated the relationship between various types of crashes, occurring at a specific type of junction, and different motorcyclist injury levels. The complex interaction of factors, for example, different crash types, traffic control measures and the involved vehicles, which influences motorcyclist injury severity resulting from a junction-type accident, is not well explored and understood. In order to untangle the contributions of crash configurations, traffic control measures and the involved vehicles, this study aims at investigating crash consequences conditioned on crash occurrence at T-junctions in the UK, while controlling for environment, vehicle and demographic factors. The statistical modelling techniques applied are the ordered- 7 discrete choice models (i.e., the ordered probit/logit models) using the data extracted from the UK STATS 19 accident injury database (2001-2004), measured on three injury levels: fatal, serious and slight. The modelling results uncover crucial determinants of injury severity among motorcyclists at T-junctions in the UK, and offer an insight into potential prevention strategies that could be undertaken to lessen motorcyclist injury levels. The implications of this study and findings are then discussed.
KW - Crash configuration
KW - Motorcyclist injury severity at T-junction
KW - Ordered-discrete choice models
UR - http://www.scopus.com/inward/record.url?scp=33846528491&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33846528491&partnerID=8YFLogxK
M3 - Conference contribution
SN - 7030174445
SN - 9787030174444
SP - 939
EP - 948
BT - Proceedings of the Conference on Traffic and Transportation Studies, ICTTS
ER -