摘要
| 原文 | 英語 |
|---|---|
| 頁（從 - 到） | 191-198 |
| 頁數 | 8 |
| 期刊 | Accident Analysis and Prevention |
| 卷 | 62 |
| DOIs | |
| 出版狀態 | 已發佈 - 2014 |
指紋
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
- Safety, Risk, Reliability and Quality
- Human Factors and Ergonomics
- Law
- Medicine(all)
引用此文
Cyclists' red-light running behaviours : An examination of risk-taking, opportunistic, and law-obeying behaviours. / Pai, Chih Wei; Jou, Rong Chang.
於: Accident Analysis and Prevention, 卷 62, 2014, p. 191-198.研究成果: 雜誌貢獻 › 文章
}
TY - JOUR
T1 - Cyclists' red-light running behaviours
T2 - An examination of risk-taking, opportunistic, and law-obeying behaviours
AU - Pai, Chih Wei
AU - Jou, Rong Chang
PY - 2014
Y1 - 2014
N2 - Literature has suggested that bicyclists' red-light violations (RLVs) tend not to cause accidents although RLV is a frequent and typical bicyclist's behaviour. High association between bicyclist RLVs and accidents were, however, revealed in Taiwan. The current research explores bicyclists' RLVs by classifying crossing behaviours into three distinct manners: risk-taking, opportunistic, and law-obeying. Other variables, as well as bicyclists' crossing behaviours, were captured through the use of video cameras that were installed at selected intersections in Taoyuan County, Taiwan. Considering the unobserved heterogeneity, this research develops a mixed logit model of bicyclists' three distinct crossing behaviours. Several variables (pupils in uniform, speed limit with 60 km/h) appear to have heterogeneous effects, lending support to the use of mixed logit models in bicyclist RLV research. Several factors were found to significantly increase the likelihood of bicyclists' risky behaviours, most notably: intersections with short red-light duration, T/Y intersections, when riders were pupils in uniform, when riders were riding electric bicycles, when riders were unhelmeted. Implications of the research findings, and the concluding remarks, are finally provided.
AB - Literature has suggested that bicyclists' red-light violations (RLVs) tend not to cause accidents although RLV is a frequent and typical bicyclist's behaviour. High association between bicyclist RLVs and accidents were, however, revealed in Taiwan. The current research explores bicyclists' RLVs by classifying crossing behaviours into three distinct manners: risk-taking, opportunistic, and law-obeying. Other variables, as well as bicyclists' crossing behaviours, were captured through the use of video cameras that were installed at selected intersections in Taoyuan County, Taiwan. Considering the unobserved heterogeneity, this research develops a mixed logit model of bicyclists' three distinct crossing behaviours. Several variables (pupils in uniform, speed limit with 60 km/h) appear to have heterogeneous effects, lending support to the use of mixed logit models in bicyclist RLV research. Several factors were found to significantly increase the likelihood of bicyclists' risky behaviours, most notably: intersections with short red-light duration, T/Y intersections, when riders were pupils in uniform, when riders were riding electric bicycles, when riders were unhelmeted. Implications of the research findings, and the concluding remarks, are finally provided.
KW - Crossing behaviour
KW - Cyclist red-light violation
KW - Random parameters logit model
UR - http://www.scopus.com/inward/record.url?scp=84887007299&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887007299&partnerID=8YFLogxK
U2 - 10.1016/j.aap.2013.09.008
DO - 10.1016/j.aap.2013.09.008
M3 - Article
C2 - 24172086
AN - SCOPUS:84887007299
VL - 62
SP - 191
EP - 198
JO - Accident Analysis and Prevention
JF - Accident Analysis and Prevention
SN - 0001-4575
ER -