scholarly journals Human factors and road safety

1987 ◽  
Vol 18 (4) ◽  
pp. 289-296 ◽  
Author(s):  
M. Sivak
Keyword(s):  
Author(s):  
Samuel G. Charlton ◽  
Brett D. Alley ◽  
Peter H. Baas ◽  
Jean E. Newman
Keyword(s):  

2014 ◽  
Vol 606 ◽  
pp. 235-239 ◽  
Author(s):  
Matthew Oluwole Arowolo ◽  
J.M. Rohani ◽  
Mat Rebi Abdul Rani

Road accidents are a major problem in both developed and developing countries, although related to different historical reasons and circumstances. The clear, common feature is the impact caused by three major factors: use of the automobile, road infrastructure and the road users (human factor), this has generated interest from researchers and academia. Most research has been limited in scope, while some researchers used secondary data, some use official reports, experimental investigation through system approach. The inability to recognize the complexity of factors that affect this issue may explain why we have conflicting results obtained by different researchers. The purpose of this paper was to develop a sustainable road safety model that is based on concurrent research, including: Human factors, Vehicle factors and Road factors. A sustainable approach was taken in evaluating relationships among the various factors and indicators thereby proposing a model that can serve as a tool for benchmarking and policy decision. Keywords: Road Safety; performance; Indicators; Human Factors; Sustainability


2022 ◽  
Vol 14 (2) ◽  
pp. 662
Author(s):  
Lorenzo Domenichini ◽  
Andrea Paliotto ◽  
Monica Meocci ◽  
Valentina Branzi

Too often the identification of critical road sites is made by “accident-based” methods that consider the occurred accidents’ number. Nevertheless, such a procedure may encounter some difficulties when an agency does not have reliable and complete crash data at the site level (e.g., accidents contributing factors not clear or approximate accident location) or when crashes are underreported. Furthermore, relying on accident data means waiting for them to occur with the related consequences (possible deaths and injuries). A non-accident-based approach has been proposed by PIARC. This approach involves the application of the Human Factors Evaluation Tool (HFET), which is based on the principles of Human Factors (HF). The HFET can be applied to road segments by on-site inspections and provides a numerical performance measure named Human Factors Scores (HFS). This paper analyses which relationship exists between the results of the standard accident-based methods and those obtainable with HFET, based on the analysis of self-explaining and ergonomic features of the infrastructure. The study carried out for this purpose considered 23 km of two-way two-lane roads in Italy. A good correspondence was obtained, meaning that high risky road segments identified by the HFS correspond to road segments already burdened by a high number of accidents. The results demonstrated that the HFET allows for identifying of road segments requiring safety improvements even if accident data are unavailable. It allows for improving a proactive NSS, avoiding waiting for accidents to occur.


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