CONTACT US: Contact info
|
Citation |
Wang Y, Li L, Prato CG. Accid. Anal. Prev. 2019; 126: 17-24. |
|
Affiliation |
School of Civil Engineering, The University of Queensland, St. Lucia 4072, Brisbane, Australia. Electronic address: c.prato@uq.edu.au. |
|
Copyright |
(Copyright © 2019, Elsevier Publishing) |
|
DOI |
|
PMID |
29625691 |
|
Abstract |
Although the taxi industry is playing an important role in Chinese everyday life, little attention has been posed towards occupational health issues concerning the taxi drivers' working conditions, driving behaviour and road safety. A cross-sectional survey was administered to 1021 taxi drivers from 21 companies in four Chinese cities and collected information about (i) sociodemographic characteristics, (ii) working conditions, (iii) frequency of daily aberrant driving behaviour, and (iv) involvement in property-damage-only (PDO) and personal injury (PI) crashes over the past two years. A hybrid bivariate model of crash involvement was specified: (i) the hybrid part concerned a latent variable model capturing unobserved traits of the taxi drivers; (ii) the bivariate part modelled jointly both types of crashes while capturing unobserved correlation between error terms. The survey answers paint a gloomy picture in terms of workload, as taxi drivers reported averages of 9.4 working hours per day and 6.7 working days per week that amount on average to about 63.0 working hours per week. Moreover, the estimates of the hybrid bivariate model reveal that increasing levels of fatigue, reckless behaviour and aggressive behaviour are positively related to a higher propensity of crash involvement. Lastly, the heavy workload is also positively correlated with the higher propensity of crashing, not only directly as a predictor of crash involvement, but also indirectly as a covariate of fatigue and aberrant driving behaviour. The findings from this study provide insights into potential strategies for preventive education and taxi industry management to improve the working conditions and hence reduce fatigue and road risk for the taxi drivers. Language: en |
|
Keywords |
Aberrant driving behaviour; Crash propensity; Fatigue; Hybrid bivariate model; Taxi drivers; Working conditions |