Exploring the factors affecting motorway accident severity in England using the generalised ordered logistic regression model

被引:86
作者
Michalaki, Paraskevi [1 ]
Quddus, Mohammed A. [1 ]
Pitfield, David [1 ]
Huetson, Andrew [2 ]
机构
[1] Univ Loughborough, Sch Civil & Bldg Engn, Loughborough LE11 3TU, Leics, England
[2] Bramham Maintenance Compound, Connect Rd Balfour Beatty, Tadcaster LS24 9NS, England
基金
英国工程与自然科学研究理事会;
关键词
Accident severity; Motorway; Hard-shoulder; Generalized ordered logit model; Fatigue; PROPORTIONAL ODDS MODELS; PROFESSIONAL DRIVERS; STATISTICAL-ANALYSIS; INJURY SEVERITIES; ROAD ACCIDENTS; RISK; SLEEPINESS; WEATHER; SAFETY; LOGIT;
D O I
10.1016/j.jsr.2015.09.004
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Problem: The severity of motorway accidents that occurred on the hard shoulder (HS) is higher than for the main carriageway (MC). This paper compares and contrasts the most important factors affecting the severity of HS and MC accidents on motorways in England. Method: Using police reported accident data, the accidents that occurred on motorways in England are grouped into two categories (i.e., HS and MC) according to the location. A generalized ordered logistic regression model is then applied to identify the factors affecting the severity of HS and MC accidents on motorways. The factors examined include accident and vehicle characteristics, traffic and environment conditions, as well as other behavioral factors. Results: Results suggest that the factors positively affecting the severity include: number of vehicles involved in the accident, peak-hour traffic time, and low visibility. Differences between HS and MC accidents are identified, with the most important being the involvement of heavy goods vehicles (HGVs) and driver fatigue, which are found to be more crucial in increasing the severity of HS accidents. (C) 2015 The Authors. National Safety Council and Elsevier Ltd.
引用
收藏
页码:89 / 97
页数:9
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