期刊
ACCIDENT ANALYSIS AND PREVENTION
卷 102, 期 -, 页码 153-164出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.aap.2017.03.002
关键词
Mountainous roads; Single-vehicle crashes; Random parameters model; Vertical gradient; Horizontal curve; Developing country
类别
资金
- Queensland University of Technology (QUT), Australia
- Malaysian Institute of Road Safety Research (MIROS)
- Road Safety Department Sabah (JKJR)
- Public Works Department (JKR) Sabah
Mountainous highways generally associate with complex driving environment because of constrained road geometries, limited cross-section elements, inappropriate roadside features, and adverse weather conditions. As a result, single-vehicle (SV) crashes are overrepresented along mountainous roads, particularly in developing countries, but little attention is known about the roadway geometric, traffic and weather factors contributing to these SV crashes. As such, the main objective of the present study is to investigate SV crashes using detailed data obtained from a rigorous site survey and existing databases. The final dataset included a total of 56 variables representing road geometries including horizontal and vertical alignment, traffic characteristics, real-time weather condition, cross-sectional elements, roadside features, and spatial characteristics. To account for structured heterogeneities resulting from multiple observations within a site and other unobserved heterogeneities, the study applied a random parameters negative binomial model. Results suggest that rainfall during the crash is positively associated with SV crashes, but real-time visibility is negatively associated. The presence of a road shoulder, particularly a bitumen shoulder or wider shoulders, along mountainous highways is associated with less SV crashes. While speeding along downgrade slopes increases the likelihood of SV crashes, proper delineation decreases the likelihood. Findings of this study have significant implications for designing safer highways in mountainous areas, particularly in the context of a developing country. (C) 2017 Elsevier Ltd. All rights reserved.
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