TY - JOUR
T1 - Modelling the effect of traffic safety culture on road fatalities
T2 - linear and nonlinear stochastic frontier analysis
AU - Mozaffari, Mohammad Mahdi
AU - Taghizadeh-Yazdi, Mohammadreza
AU - Mohammadi-Balani, Abdolkarim
AU - Nazari-Shirkouhi, Salman
AU - Asadzadeh, Seyed Mohammad
N1 - Publisher Copyright:
© 2023, The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.
PY - 2023/6
Y1 - 2023/6
N2 - The literature on measuring road safety culture has been dominated by the use of questionnaires. Some researchers criticize this approach for the untraceable relationship between the questionnaire items and traffic safety culture, the disagreement between the respondents’ thoughts and behavior, and the social desirability bias. This paper aims to use time-variant stochastic frontier analysis (SFA) to quantitatively estimate the effect of road safety culture on road fatalities. This study contributes to the safety culture assessment by proposing a new methodology with two new features. Firstly, its parametric and flexible nature allows using any type of linear or nonlinear frontiers to describe the relationship between system characteristics and fatalities. Secondly, this analysis is purely data-driven; therefore, there is no need to use qualitative methods like questionnaires. The real-world applicability and significance of the proposed SFA framework are illustrated by evaluating the effect. Results show the robustness of SFA for determining the effect of road safety culture on road fatalities.
AB - The literature on measuring road safety culture has been dominated by the use of questionnaires. Some researchers criticize this approach for the untraceable relationship between the questionnaire items and traffic safety culture, the disagreement between the respondents’ thoughts and behavior, and the social desirability bias. This paper aims to use time-variant stochastic frontier analysis (SFA) to quantitatively estimate the effect of road safety culture on road fatalities. This study contributes to the safety culture assessment by proposing a new methodology with two new features. Firstly, its parametric and flexible nature allows using any type of linear or nonlinear frontiers to describe the relationship between system characteristics and fatalities. Secondly, this analysis is purely data-driven; therefore, there is no need to use qualitative methods like questionnaires. The real-world applicability and significance of the proposed SFA framework are illustrated by evaluating the effect. Results show the robustness of SFA for determining the effect of road safety culture on road fatalities.
KW - Linear and logarithmic models
KW - Road fatality
KW - Road safety culture
KW - Stochastic frontier analysis
KW - Traffic safety culture
KW - Transportation
U2 - 10.1007/s13198-023-01919-y
DO - 10.1007/s13198-023-01919-y
M3 - Journal article
AN - SCOPUS:85156229955
SN - 0975-6809
VL - 14
SP - 1049
EP - 1061
JO - International Journal of System Assurance Engineering and Management
JF - International Journal of System Assurance Engineering and Management
IS - 3
ER -