Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.aap.2009.07.022
DC FieldValue
dc.titleApplying Bayesian hierarchical models to examine motorcycle crashes at signalized intersections
dc.contributor.authorHaque, M.M.
dc.contributor.authorChin, H.C.
dc.contributor.authorHuang, H.
dc.date.accessioned2014-06-17T08:13:49Z
dc.date.available2014-06-17T08:13:49Z
dc.date.issued2010-01
dc.identifier.citationHaque, M.M., Chin, H.C., Huang, H. (2010-01). Applying Bayesian hierarchical models to examine motorcycle crashes at signalized intersections. Accident Analysis and Prevention 42 (1) : 203-212. ScholarBank@NUS Repository. https://doi.org/10.1016/j.aap.2009.07.022
dc.identifier.issn00014575
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/65172
dc.description.abstractMotorcycles are overrepresented in road traffic crashes and particularly vulnerable at signalized intersections. The objective of this study is to identify causal factors affecting the motorcycle crashes at both four-legged and T signalized intersections. Treating the data in time-series cross-section panels, this study explores different Hierarchical Poisson models and found that the model allowing autoregressive lag-1 dependence specification in the error term is the most suitable. Results show that the number of lanes at the four-legged signalized intersections significantly increases motorcycle crashes largely because of the higher exposure resulting from higher motorcycle accumulation at the stop line. Furthermore, the presence of a wide median and an uncontrolled left-turn lane at major roadways of four-legged intersections exacerbate this potential hazard. For T signalized intersections, the presence of exclusive right-turn lane at both major and minor roadways and an uncontrolled left-turn lane at major roadways increases motorcycle crashes. Motorcycle crashes increase on high-speed roadways because they are more vulnerable and less likely to react in time during conflicts. The presence of red light cameras reduces motorcycle crashes significantly for both four-legged and T intersections. With the red light camera, motorcycles are less exposed to conflicts because it is observed that they are more disciplined in queuing at the stop line and less likely to jump start at the start of green. © 2009 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.aap.2009.07.022
dc.sourceScopus
dc.subjectBayesian inference
dc.subjectFour-legged intersections
dc.subjectHierarchical models
dc.subjectMotorcycle crashes
dc.subjectT intersections
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1016/j.aap.2009.07.022
dc.description.sourcetitleAccident Analysis and Prevention
dc.description.volume42
dc.description.issue1
dc.description.page203-212
dc.description.codenAAPVB
dc.identifier.isiut000272482100024
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