Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation Model

Tailored countermeasures that may significantly improve road traffic safety can be proposed and implemented if the relationship between various associated factors and aggressive driving is well understood. However, this relationship remains unknown, as driving behavior is complex, and the interrelat...

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Main Authors: Wenxiang Xu, Junhua Wang, Ting Fu, Anae Sobhani, Matin Nabavi Niaki
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2022/1783392
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author Wenxiang Xu
Junhua Wang
Ting Fu
Anae Sobhani
Matin Nabavi Niaki
author_facet Wenxiang Xu
Junhua Wang
Ting Fu
Anae Sobhani
Matin Nabavi Niaki
author_sort Wenxiang Xu
collection DOAJ
description Tailored countermeasures that may significantly improve road traffic safety can be proposed and implemented if the relationship between various associated factors and aggressive driving is well understood. However, this relationship remains unknown, as driving behavior is complex, and the interrelationships among variables are not easy to identify. Considering this situation, this paper constructed a model based on a structural equation model (SEM) and factor analysis (FA), which is a multivariate statistical analysis technique used to analyze structural relationships. The model is applied in a case study using data from the Shanghai Naturalistic Driving Study. In the case study, 16 variables were grouped into five latent factors in the SEM, and the model fits the data well. Compared with other variables, the results show that age had the most significant positive impact on aggressive driving behavior (older drivers exhibited high aggressive driving frequency). Adverse weather negatively impacted driver behavior (lower speed and high longitude acceleration), which in turn negatively affected aggressive driving behavior. In addition, the results show that driver factors (such as age and sex) were the main factors influencing vehicle use (such as hard acceleration), and the environment was the main factor determining risky scenarios, where safety-critical situations increase. This paper provides a reference for defining and determining aggressive driving and a model for exploring the relationship between driving safety factors and aggressive driving, which can be used in real-world applications for improving driving safety with applications in advanced driver-assistance (ADAS) and traffic enforcement safety control systems.
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publisher Wiley
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series Journal of Advanced Transportation
spelling doaj-art-09a24ca6653e422b99d3a9263e9328292025-08-20T02:03:16ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/1783392Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation ModelWenxiang Xu0Junhua Wang1Ting Fu2Anae Sobhani3Matin Nabavi Niaki4The Key Laboratory of Road and Traffic EngineeringThe Key Laboratory of Road and Traffic EngineeringThe Key Laboratory of Road and Traffic EngineeringSocial Urban Transitions SectionDepartment of Human Geography and Spatial PlanningTailored countermeasures that may significantly improve road traffic safety can be proposed and implemented if the relationship between various associated factors and aggressive driving is well understood. However, this relationship remains unknown, as driving behavior is complex, and the interrelationships among variables are not easy to identify. Considering this situation, this paper constructed a model based on a structural equation model (SEM) and factor analysis (FA), which is a multivariate statistical analysis technique used to analyze structural relationships. The model is applied in a case study using data from the Shanghai Naturalistic Driving Study. In the case study, 16 variables were grouped into five latent factors in the SEM, and the model fits the data well. Compared with other variables, the results show that age had the most significant positive impact on aggressive driving behavior (older drivers exhibited high aggressive driving frequency). Adverse weather negatively impacted driver behavior (lower speed and high longitude acceleration), which in turn negatively affected aggressive driving behavior. In addition, the results show that driver factors (such as age and sex) were the main factors influencing vehicle use (such as hard acceleration), and the environment was the main factor determining risky scenarios, where safety-critical situations increase. This paper provides a reference for defining and determining aggressive driving and a model for exploring the relationship between driving safety factors and aggressive driving, which can be used in real-world applications for improving driving safety with applications in advanced driver-assistance (ADAS) and traffic enforcement safety control systems.http://dx.doi.org/10.1155/2022/1783392
spellingShingle Wenxiang Xu
Junhua Wang
Ting Fu
Anae Sobhani
Matin Nabavi Niaki
Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation Model
Journal of Advanced Transportation
title Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation Model
title_full Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation Model
title_fullStr Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation Model
title_full_unstemmed Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation Model
title_short Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation Model
title_sort investigating contributing factors on aggressive driving based on a structural equation model
url http://dx.doi.org/10.1155/2022/1783392
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AT tingfu investigatingcontributingfactorsonaggressivedrivingbasedonastructuralequationmodel
AT anaesobhani investigatingcontributingfactorsonaggressivedrivingbasedonastructuralequationmodel
AT matinnabaviniaki investigatingcontributingfactorsonaggressivedrivingbasedonastructuralequationmodel