Identifying Factors That Increase Bus Accident Risk by Using Random Forests and Trip-Level Data

2016 ◽  
Vol 2539 (1) ◽  
pp. 149-158 ◽  
Author(s):  
Joel Huting ◽  
Joey Reid ◽  
Uchechukwu Nwoke ◽  
Elizabeth Bacarella ◽  
Kim Eng Ky
Keyword(s):  
Random Forests ◽  
Accident Risk ◽  
Level Data ◽  
Bus Accident

GAYA HIDUP DAN RISIKO KECELAKAAN PADA PENGEMUDI BUS ANTAR KOTA ANTAR PROVINSI (AKAP)

2019 ◽  
Vol 9 (2) ◽  
pp. 119-124
Author(s):  
Pratiwi Kusuma Putri ◽  
Kawi Kawi ◽  
Ratna Muliawati ◽  
Baju Widjasena
Keyword(s):  
Traffic Accidents ◽  
Eating Habits ◽  
P Value ◽  
Accident Risk ◽  
Bus Drivers ◽  
Chi Square ◽  
Bus Driver ◽  
Chi Square Test ◽  
Unbalanced Diet ◽  
Bus Accident

Kejadian kecelakaan lalu lintas darat cenderung mengalami peningkatan.  Salah satu penyumbang kecelakaan lalu lintas darat adalah kecelakaan bus Antar Kota Antar Provinsi (AKAP). Kecelakaan bus AKAP ini berisiko menimbulkan kerugian karena menyangkut keselamatan penumpang dan pengguna jalan lain. Risiko kecelakaan ini erat kaitannya dengan kesehatan dan kebugaran pengemudi bus. Penelitian ini bertujuan untuk mengetahui hubungan antara gaya hidup dengan risiko kecelakaan pada pengemudi bus AKAP yang melintasi Kabupaten Kendal. Penelitian ini merupakan penelitian obsersional-analitik. Penelitian dilakukan di RM.X dengan responden sebanyak 40 orangpengemudi bus AKAP. Pengumpulan data melalui wawancara dengan kuesioner. Data dianalisis secara statistik dengan uji chi square. Hasil penelitian menunjukkan tidak ada hubungan yang bermakna antara kebiasaan olahraga (nilai p = 0,654), pola istirahat (0,279), dan pola makan dengan kejadian kecelakaan kerja pada pengemudi bus AKAP. Seluruh pengemudi bus AKAP (100%) memiliki pola makan tidak seimbang. Disarankan pengemudi bus AKAP untuk lebih memperhatikan kebugaran, kebiasaan istirahat serta kebiasaan makan, agar saat mengemudi selalu dalam kondisi prima.   Kata kunci : Gaya hidup, pola istirahat, kebiasaan makan, risiko kecelakaan, pengemudi bus   LIFESTYLE AND RISK OF ACCIDENTS ON THE INTER-CITY INTER-PROVINCE BUS ACCIDENT (AKAP)   ABSTRACT Land traffic accident incidents tend to increase. One of the contributors to land traffic accidents is the Inter-City Inter-Province bus accident (AKAP). This AKAP bus accident risks causing losses because it involves the safety of passengers and other road users. This accident risk is closely related to the health and fitness of the bus driver. This study aims to determine the relationship between lifestyle and risk of accidents on AKAP bus drivers who cross the Kendal Regency. This study is an analytical-analytical study. The research was conducted at RM.X with 40 respondents as AKAP bus drivers. Data collection through interviews with questionnaires. Data were analyzed statistically by the chi square test. The results showed no significant relationship between exercise habits (p value = 0.654), rest pattern (0.279), and diet with the incidence of workplace accidents in AKAP Bus drivers. All AKAP bus drivers (100%) have an unbalanced diet. AKAP bus drivers are advised to pay more attention to fitness, rest habits and eating habits, so that when driving is always in top condition.   Keywords: Lifestyle, sleep pattern, eating habits, risk of accident, bus driver

scholarly journals The Relationship of Accident Risk Factors with Traffic Road Safety: A Study on Commercial Mini-Bus Accident in Nigeria.

2017 ◽  
Vol 14 (03) ◽  
pp. 34-38
Author(s):  
Engr. Dr. A.O Oke ◽  
Engr. Dr. Arowolo M.O ◽  
Engr. Oyebamiji B.A ◽  
A.O Oloyede
Keyword(s):  
Risk Factors ◽  
Road Safety ◽  
Accident Risk ◽  
Relationship Of ◽  
The Relationship ◽  
Bus Accident

New Evidence on the Construct Validity of the ASI-3 and the Dimensional Conceptualization of Trait Anxiety Sensitivity From IRT Modeling

2017 ◽  
Vol 33 (3) ◽  
pp. 181-189 ◽  
Author(s):  
Christoph J. Kemper ◽  
Michael Hock
Keyword(s):  
Construct Validity ◽  
Anxiety Sensitivity ◽  
Latent Class ◽  
Dimensional Structure ◽  
Sensitivity Index ◽  
Response Scale ◽  
Established Risk Factor ◽  
Irt Models ◽  
Level Data ◽  
Extreme Response

Abstract. Anxiety Sensitivity (AS) denotes the tendency to fear anxiety-related sensations. Trait AS is an established risk factor for anxiety pathology. The Anxiety Sensitivity Index-3 (ASI-3) is a widely used measure of AS and its three most robust dimensions with well-established construct validity. At present, the dimensional conceptualization of AS, and thus, the construct validity of the ASI-3 is challenged. A latent class structure with two distinct and qualitatively different forms, an adaptive form (normative AS) and a maladaptive form (AS taxon, predisposing for anxiety pathology) was postulated. Item Response Theory (IRT) models were applied to item-level data of the ASI-3 in an attempt to replicate previous findings in a large nonclinical sample (N = 2,603) and to examine possible interpretations for the latent discontinuity observed. Two latent classes with a pattern of distinct responses to ASI-3 items were found. However, classes were indicative of participant’s differential use of the response scale (midpoint and extreme response style) rather than differing in AS content (adaptive and maladaptive AS forms). A dimensional structure of AS and the construct validity of the ASI-3 was supported.

Modeling Intraindividual Variability in Three-Level Multilevel Models

Methodology ◽  
2018 ◽  
Vol 14 (3) ◽  
pp. 95-108 ◽  
Author(s):  
Steffen Nestler ◽  
Katharina Geukes ◽  
Mitja D. Back
Keyword(s):  
Multilevel Model ◽  
Multilevel Models ◽  
Mixed Effects ◽  
Repeated Measurements ◽  
Scale Model ◽  
Suggested Approach ◽  
Psychological Study ◽  
Level Data ◽  
Ecological Momentary ◽  
Momentary Assessment

Abstract. The mixed-effects location scale model is an extension of a multilevel model for longitudinal data. It allows covariates to affect both the within-subject variance and the between-subject variance (i.e., the intercept variance) beyond their influence on the means. Typically, the model is applied to two-level data (e.g., the repeated measurements of persons), although researchers are often faced with three-level data (e.g., the repeated measurements of persons within specific situations). Here, we describe an extension of the two-level mixed-effects location scale model to such three-level data. Furthermore, we show how the suggested model can be estimated with Bayesian software, and we present the results of a small simulation study that was conducted to investigate the statistical properties of the suggested approach. Finally, we illustrate the approach by presenting an example from a psychological study that employed ecological momentary assessment.

Pitfalls in evaluating aviation accident risk

2007 ◽  
Author(s):  
Bruce G. Coury ◽  
Deborah Bruce
Keyword(s):  
Accident Risk
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