Risk factors affecting fatal bus accident severity: Their impact on different types of bus drivers

Shen, Feng; Li, Zhenning; Ci, Yusheng; Zhang, Guohui

doi:10.1016/j.aap.2015.09.025

Cited by 104 publications

(63 citation statements)

References 74 publications

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“…We considered age as a meaningful factor for drivers' behavior (Feng, Li, Ci, & Zhang, 2016;Schaie, 1994;Thompson et al, 2012). The carried out analysis clearly showed that the compared groups of subjects are statistically significantly differentiated (F = 3.52, p < .01,  2 = .049).…”

Section: Subjects and Statistical Analysesmentioning

confidence: 89%

The External Validity of Psychometric Testing Methods and Their Meaning for Safe Road Performance

Biela

Rożnowski²,

Gorbaniuk³

et al. 2017

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The aim of the paper is to investigate which psychometric tools commonly used by Polish transport psychologists appropriately measure necessary abilities of professional drivers. According to Levis-Eva ns' differentiation between the driver 's performa nce and the driver's behavior, we explored a statistical relation between the results of tests currently used by transport psychologists, measured according to Szalma's individual differences and safe behaviors on roads. We examine validity of tests using data based on real professional drivers' behavior. The sample included 200 drivers involved in accidents and collisions, and 100 who behaved safely. We tested external validity of chosen psychometric tools by analyzing statistically the relation between test scores and unsafe driving behavior recorded by the police. The results show that only few mea surements are valid for differentiation of safe and unsafe drivers. The paper indicates the methodology to reach the prognostic value of the diagnostic tests employed by transport psychologist. Key words: safety behavior, external validity, transport psychology Theoretical BackgroundSince the time when psychologists became interested in road transportation, numerous psychometric tools, including cognitive ability tests and psychomotoric ones have been developed to diagnose individuals applying for a driver's license. This interest in testing these applicants appears already in the classic Münsterberg's book on industrial psychology (Münsterberg, 1913). From this analysis, however, the following question arises: which psychometric tools most appropriately measure abilities that predict safety-related human behavior in road traffic situations? Szalma (2009) argues that individual differences in human factors/ergonomics should be incorporated into research and practice. Within traffic and transport psychology, different research approaches have attempted to explain individual differences in risky driving behavior and traffic accident involvement, which assumes more complex processes and such factors as: aggressive driving

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Section: Subjects and Statistical Analysesmentioning

confidence: 89%

The External Validity of Psychometric Testing Methods and Their Meaning for Safe Road Performance

Biela

Rożnowski²,

Gorbaniuk³

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Various factors, such as the level of education, time interval, and personal factors can influence the accident rate (7). Bad behaviours lead to the severity of driving accidents, thereby increasing their probability (8,9). Time intervals, including seasons, months, weeks and days can increase the probability of road accidents (9).…”

Section: Introductionmentioning

confidence: 99%

“…Bad behaviours lead to the severity of driving accidents, thereby increasing their probability (8,9). Time intervals, including seasons, months, weeks and days can increase the probability of road accidents (9). In addition, death rates in road accidents vary in different 24-hour conditions (1).…”

Section: Introductionmentioning

confidence: 99%

Factors contributing to fatal road traffic accidents in the South of Kerman during the period from 2013 to 2017, Iran

Nasiri

Nazari

Kamali

et al. 2019

JOHE

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Article InfoBackground: Several factors influence the growth in the number of road traffic accidents and the resulting death rate. Road accident scenarios can be considered in different seasons and time intervals. In the present study, the role of factors effective in the growth of the number of accidents was explored in the south of Kerman during the period from 2013 to 2017. Materials and Methods: In this cross-sectional study, the data were collected from the Traffic Police Unit's database in the south of Kerman during the period from 2013 to 2017. The data obtained included the time of the day, roads of accidents, numbers of fatal accidents, and years of occurrence. The data were analysed using the logistic regression. Results: After examining the role of various factors in fatal road traffic accidents, it became clear that the chances of death were higher in road accidents on main roads (OR = 1.30; 95%CI=1.02-1.70; p=0.037) than on rural roads. In terms of the seasons of occurrence, death rates were higher in autumn (OR= 1.30; 95%CI=1.02-1.80; p=0.027) than in winter. From among the effective factors, overspeed (OR= 1.90; 95%CI=1.40-2.50; p<0.001) and deviation to the left lane (OR = 2.20; 95% CI = 1.70-2.90; p-value<0.001) were more likely to lead to death than drowsiness and inattention to the front. Conclusion: The results showed that overspeed, deviation to the left lane, as well as accidents on main roads, and in autumn resulted in an increase in the mortality rate. The severity of road accidents would probably decrease in the region by paying more attention to main roads especially in autumn and training drivers.

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“…[25] trafik kazalarının oluş sürelerini kümelemeye dayalı olarak incelemiş, Guo ve Fang [26] sürücüden kaynaklı riskleri k-ortalama yöntemiyle kümeleme analizi yaparak araştırmış, Yalcin ve Duzgun [27] iki tekerlekli araçların trafik kazalarının mekânsal analizlerini gerçekleştirmiş, Feng ve ark. [28] otobüs kazalarının oluşmasındaki risk faktörlerini k-ortalama yöntemiyle kümeleyerek irdelemiş, Erdogan [29] yollardaki ölüm oranını coğrafi ağırlıklı regresyon analiziyle araştırmış, Martinussen ve ark. [30] sürücü davranışları ve becerileri arasındaki ilişkiyi k-ortalama yöntemiyle ortaya koymuşlardır.…”

Section: Introductionunclassified

Çok Deği̇şkenli̇ Hari̇talama İçi̇n Kümeleme Yöntemleri̇ni̇n Kullanilmasi

Selvi¹,

Çağlar²

2017

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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ÖZÇok değişkenli haritalama mekânsal objelere ait birden çok özelliğin harita kullanılarak görsel sunumudur. Çeşitli veri hazırlama ve istatistiksel sınıflandırma teknikleri kullanılarak mekânsal objelere ait birden çok özellik görsel olarak incelenebilir ve kartografik işaretlerle gösterilebilir. Bu kapsamda kümeleme analizi yöntemleri de çok değişkenli haritalama için kullanılabilir. Bu çalışmada kümeleme analiz yöntemlerinden kortalama yöntemi, k-temsilci yöntemi ve Birleştirici Hiyerarşik Kümeleme yöntemi ele alınmıştır. Bu yöntemlerle Türkiye'deki üç ayrı yıla ait trafik kaza verileri kullanılarak oluşturulan sınıflar ve üretilen çok değişkenli haritalar kullanılarak bu yöntemlerin karşılaştırılması yapılmış, bu yöntemlerle üretilen haritaların risk yönetimi ve planlamada kullanılabilirliği üzerinde durulmuştur.Anahtar Kelimeler: Çok değişkenli haritalama, veri madenciliği, kümeleme analizi USING CLUSTER ANALYSIS METHODS FOR MULTIVARIATE MAPPING ABSTRACTMultivariate mapping is the visual exploration of spatial objects with multiple attributes using a map. More than one attribute can be visually explored and symbolized using numerous statistical classification systems or data reduction techniques. In this sense, clustering analysis methods can be used for multivariate mapping. In this study, among clustering analysis methods, k-means method, k-medoids method and Agglomerative Hierarchical Clustering method were selected. For this purpose, multivariate maps created from traffic accident data of two different years in Turkey were used. The methods were compared using the maps produced with these methods and effectiveness of these maps in risk management and planning were discussed.

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Risk factors affecting fatal bus accident severity: Their impact on different types of bus drivers

Cited by 104 publications

References 74 publications

The External Validity of Psychometric Testing Methods and Their Meaning for Safe Road Performance

The External Validity of Psychometric Testing Methods and Their Meaning for Safe Road Performance

Factors contributing to fatal road traffic accidents in the South of Kerman during the period from 2013 to 2017, Iran

Çok Deği̇şkenli̇ Hari̇talama İçi̇n Kümeleme Yöntemleri̇ni̇n Kullanilmasi

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