A COMPARATIVE STUDY OF ACCIDENT RISK FACTORS IN CONSTRUCTION PROJECT IN INDONESIA

Author(s):  
Yusuf Latief ◽  
◽  
Akhmad Suraji ◽  
Yulianto S Nugroho ◽  
Rosmariani Arifuddin ◽  
...  
2021 ◽  
Vol 79 (1) ◽  
pp. 401-414
Author(s):  
Max Toepper ◽  
Philipp Schulz ◽  
Thomas Beblo ◽  
Martin Driessen

Background: On-road driving behavior can be impaired in older drivers and particularly in drivers with mild cognitive impairment (MCI). Objective: To determine whether cognitive and non-cognitive risk factors for driving safety may allow an accurate and economic prediction of on-road driving skills, fitness to drive, and prospective accident risk in healthy older drivers and drivers with MCI, we examined a representative combined sample of older drivers with and without MCI (N = 74) in an observational on-road study. In particular, we examined whether non-cognitive risk factors improve predictive accuracy provided by cognitive factors alone. Methods: Multiple and logistic hierarchical regression analyses were utilized to predict different driving outcomes. In all regression models, we included cognitive predictors alone in a first step and added non-cognitive predictors in a second step. Results: Results revealed that the combination of cognitive and non-cognitive risk factors significantly predicted driving skills (R2adjusted = 0.30) and fitness to drive (81.2% accuracy) as well as the number (R2adjusted = 0.21) and occurrence (88.3% accuracy) of prospective minor at-fault accidents within the next 12 months. In all analyses, the inclusion of non-cognitive risk factors led to a significant increase of explained variance in the different outcome variables. Conclusion: Our findings suggest that a combination of the most robust cognitive and non-cognitive risk factors may allow an economic and accurate prediction of on-road driving performance and prospective accident risk in healthy older drivers and drivers with MCI. Therefore, non-cognitive risk factors appear to play an important role.


2019 ◽  
Vol 9 (1) ◽  
pp. 14-17 ◽  
Author(s):  
Magdalena Kowacka ◽  
Dariusz Skorupka ◽  
Artur Duchaczek ◽  
Paweł Zagrodnik

AbstractThe work contains information on the implementation of surveying works in the road construction process. The aim of the research was to identify geodetic risk factors occurring at the stage of preparation of a construction project, the presence of which can greatly disrupt the undertaking such as the road construction. The research was carried out on the basis of expert knowledge, documentation obtained from various road construction projects and the analysis of disturbances at the initial stage of works.


2012 ◽  
Vol 170-173 ◽  
pp. 2292-2297
Author(s):  
Jiao Zhang

The application of analytical hierarchy process (AHP) to the risk analysis of port construction project was investigated. Firstly, the happening probabilities of various risk factors during port construction were calculated. Secondly, the aftereffects of the risks were concluded by consulting the experts. Thirdly, the weight of each risk factor was obtained by AHP. Finally, the total risk of port construction project could be evaluated by fuzzy comprehensive evaluation. This risk analysis method was applied to evaluate the total risk of a real port construction project, and the exemplification verified its feasibility.


PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e90768 ◽  
Author(s):  
Ian Louis Ross ◽  
Ragnhildur Bergthorsdottir ◽  
Naomi Levitt ◽  
Joel Alex Dave ◽  
Desmond Schatz ◽  
...  

Author(s):  
Faiza kiran ◽  
Syed Moyn Aly ◽  
Abdullah Al Shehri

Abstract Objectives: The objectives of our study were to identify the student’s perceptions related to their academic failure and compare these perceptions with their nationality. Methods: A, non-interventional, bi national, comparative study was conducted in medical colleges of Pakistan and Saudi Arabia, in year 2015-2018, by taking a purposive sample of 210 students. All those who gave consent and scored less than fifty percent in their professional examinations were included. Data was analyzed using SPSS version 23. Frequencies and percentages were calculated, and Man Whitney U was applied to calculate p value. Results: According to the respondents, common reasons of failure identified were information overload (n=114,50%), difficult examination (n=101, 48%), poor teaching skills of teachers (n=82, 39%), system of education (n=75,36%) and unfair examination (n=78,37%). Eleven items in nationality group were found significant. Conclusion: Regardless of few cultural and environmental differences in factors contributing towards failure in students of different countries, the risk factors are common to all students. Moreover, most students tend to blame external factors more than internal ones. Keywords: Risk, factors, Perceived, academic, failure, students, medical, Saudi Arabia, nationality, Pakistan, perceptions


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