Structural equation modelling of potential risk factors for pedestrian accidents in rural and urban roads

Sheykhfard, Abbas; Haghighi, Farshidreza; Nordfjærn, Trond; Soltaninejad, Mostafa

doi:10.1080/17457300.2020.1835991

Cited by 36 publications

(11 citation statements)

References 63 publications

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“…It is a subset of Structural Equation Modelling (SEM), which is a multivariate procedure to examine a group of relationships between multiple independent variables (Ullman, 1996). SEM has been widely used in transport studies with questionnaire items, which include pedestrian safety study (Sheykhfard et al, 2021), risky road user behaviour research (Sullman et al, 2012) and travel behaviour studies (Golob, 2003;Ikeda et al, 2019). Path analysis is unique from other SEM methods as it analyses the mediated effects in a defined pathway (the effect of X on Z in a "X → Y → Z" pathway) (Hayes et al, 2017).…”

Section: Form and Validate Conceptual Framework In Modelling Behavioural Intentionmentioning

confidence: 99%

Interaction behaviour of active mobility users in shared space

Che

Wong

Lum

et al. 2021

Transportation Research Part A: Policy and Practice

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Section: Form and Validate Conceptual Framework In Modelling Behavioural Intentionmentioning

confidence: 99%

Interaction behaviour of active mobility users in shared space

Che

Wong

Lum

et al. 2021

Transportation Research Part A: Policy and Practice

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“…Hence, the PLS-PM model would be a proper modeling framework for this study. Despite the flexibility of PLS-SEM in crash causal analysis, only a few studies have recently adopted this method on safety data [ 80 , 82 ]. The details of PLS-PM method are proposed in S1 Appendix .…”

Section: Methodsmentioning

confidence: 99%

Investigating speed-safety association: Considering the unobserved heterogeneity and human factors mediation effects

Nassiri

Mohammadpour

2023

PLoS ONE

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The relationship between mean speed and crash likelihood is unclear in the literature. The contradictory findings can be attributed to the masking effects of the confounding variables in this association. Moreover, the unobserved heterogeneity has almost been criticized as a reason behind the current inconclusive results. This research provides an effort to develop a model that analyzes the mean speed-crash frequency relationship by crash severity and type. Also, the confounding and mediation effects of the environment, driver, and traffic-related attributes have been considered. To this end, the loop detector and crash data were aggregated daily for rural multilane highways of Tehran province, Iran, covering two years, 2020–2021. The partial least squares path modeling (PLS-PM) was employed for crash causal analysis along with the finite mixture partial least squares (FIMIX-PLS) segmentation to account for potential unobserved heterogeneity between observations. The mean speed was negatively and positively associated with the frequency of property damage-only (PDO) and severe accidents, respectively. Moreover, driver-related variables, including tailgating, distracted driving, and speeding, played key mediation roles in associating traffic and environmental factors with the crash risk. The higher the mean speed and the lower the traffic volume, the higher odds of distracted driving. Distracted driving was, in turn, associated with the higher vulnerable road users (VRU) accidents and single-vehicle accidents, triggering a higher frequency of severe accidents. Moreover, lower mean speed and higher traffic volume were positively correlated with the percentage of tailgating violations, which, in turn, predicted multi-vehicle accidents as the main predictor of PDO crash frequency. In conclusion, the mean speed effects on the crash risk are entirely different for each crash type through distinct crash mechanisms. Hence, the distinct distribution of crash types in different datasets might have led to current inconsistent results in the literature.

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“…Even though many researchers have focused on the SFS context, no one has looked at the serious risks that could be present in rural road prioritization problems in a spherical fuzzy environment. Existing literature shows that there is a need to evaluate the critical potential risk factors in rural roads because the evaluation of critical potential risk is not only a vital issue but also an uncertain subject [21][22][23][24]. The rural roads' critical potential risk factors selection process includes many objective and subjective attributes with conflicting goals.…”

Section: Introductionmentioning

confidence: 99%

Road safety assessment and risks prioritization using an integrated SWARA and MARCOS approach under spherical fuzzy environment

Ghoushchi

Haghshenas

Ghiaci

et al. 2022

Neural Comput & Applic

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There are a lot of elements that make road safety assessment situations unpredictable and hard to understand. This could put people's lives in danger, hurt the mental health of a society, and cause permanent financial and human losses. Due to the ambiguity and uncertainty of the risk assessment process, a multi-criteria decision-making technique for dealing with complex systems that involves choosing one of many options is an important strategy of assessing road safety. In this study, an integrated stepwise weight assessment ratio analysis (SWARA) with measurement of alternatives and ranking according to compromise solution (MARCOS) approach under a spherical fuzzy (SF) set was considered. Then, the proposed methodology was applied to develop the approach of failure mode and effect analysis (FMEA) for rural roads in Cosenza, southern Italy. Also, the results of modified FMEA by SF-SWARA-MARCOS were compared with the results of conventional FMEA. The risk score results demonstrated that the source of risk (human) plays a significant role in crashes compared to other sources of risk. The two risks, including landslides and floods, had the lowest values among the factors affecting rural road safety in Calabria, respectively. The correlation between scenario outcomes and main ranking orders in weight values was also investigated. This study was done in line with the goals of sustainable development and the goal of sustainable mobility, which was to find risks and lower the number of accidents on the road. As a result, it is thus essential to reconsider laws and measures necessary to reduce human risks on the regional road network of Calabria to improve road safety.

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Structural equation modelling of potential risk factors for pedestrian accidents in rural and urban roads

Cited by 36 publications

References 63 publications

Interaction behaviour of active mobility users in shared space

Interaction behaviour of active mobility users in shared space

Investigating speed-safety association: Considering the unobserved heterogeneity and human factors mediation effects

Road safety assessment and risks prioritization using an integrated SWARA and MARCOS approach under spherical fuzzy environment

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