Accident proneness : research in the occurrence, causation, and prevention of road accidents / by Lynette Shaw and Herbert S. Sichel ; with a foreword by H. J. Eysenck. [electronic resource]

Autor: Shaw, Lynette, author

Externí odkaz: Kolekce e-knih KNAV Registrovani uzivatele: plny text online 5 minut, dalsi pristup na vyzadani. Registered users: full text online 5 minutes, further access on request.

Prediction of accident-proneness among a sample of Iranian workers: usefulness of an adjusted version of the Health Belief Model with spiritual health

Autor: Akram Heidari, Mohsen Falahati, Anthony Coetzer-Liversage, Azam Biabani, Mahmood Karimy

Publikováno v: BMC Psychology, Vol 12, Iss 1, Pp 1-9 (2024)

Abstract Background Workforce health is one of the primary and challenging issues, especially in industrialized countries. The purpose of the present study was to evaluate the ability to predict accident-proneness among Saveh Industry workers in Iran

Externí odkaz: https://doaj.org/article/af2dd19e1d9141cea3fe8513ff2d02df

Fuzzy Logic Model for Assessing Accident Proneness Based on Passenger Vehicle Speed in Real and Virtual Traffic Conditions.

Autor: Marković, Nenad¹ (AUTHOR) n.markovic@sf.bg.ac.rs, Ivanišević, Tijana² (AUTHOR) tivanisevic@asss.edu.rs, Čičević, Svetlana¹ (AUTHOR) s.cicevic@sf.bg.ac.rs, Trifunović, Aleksandar¹ (AUTHOR) a.trifunovic@sf.bg.ac.rs

Publikováno v: Mathematics (2227-7390). Feb2024, Vol. 12 Issue 3, p421. 20p.

The effects of psychological risk factors at work on cognitive failures through the accident proneness.

Autor: Abbasi M; Occupational Health Engineering, Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran., Falahati M; Occupational Health Engineering, Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran., Kaydani M; Department of Occupational Health Engineering, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran., Fallah Madvari R; Department of Occupational Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran., Mehri A; Department of Occupational Health Engineering, School of Public Health, Hamedan University of Medical Sciences, Hamedan, Iran., Ghaljahi M; Department of Occupational Health Engineering, School of Public Health, Zabol University of Medical Sciences, Zabol, Iran., Yazdanirad S; Occupational Health Engineering, School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran. saeedyazdanirad@gmail.com.; Occupational Health Engineering, Modeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran. saeedyazdanirad@gmail.com.

Publikováno v: BMC psychology [BMC Psychol] 2021 Oct 19; Vol. 9 (1), pp. 162. Date of Electronic Publication: 2021 Oct 19.

Road Accident Proneness Indicator Based On Time, Weather And Location Specificity Using Graph Neural Networks

Autor: Chandar, Srikanth, Reddy, Anish, Mansoor, Muvazima, Jamadagni, Suresh

In this paper, we present a novel approach to identify the Spatio-temporal and environmental features that influence the safety of a road and predict its accident proneness based on these features. A total of 14 features were compiled based on Time,

Externí odkaz: http://arxiv.org/abs/2010.12953