Effect of Distraction and Driving Behaviour to Traffic Accidents in Jakarta Using Partial Least Squares Structural Equation Modeling (PLS-SEM)
Traffic accidents are the eighth leading cause of death worldwide, and each year, Indonesia reports an increasing number of such incidents. Human error, specifically risky driving behaviour such as distraction, is the primary contributors to the accidents. A thorough understanding of the contrib...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2023-12-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | https://ijtech.eng.ui.ac.id/article/view/6676 |
| _version_ | 1797401561890029568 |
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| author | Maya Arlini Puspasari Safa Talitha Madani Billy Muhamad Iqbal Erlinda Muslim Beryl Putra Sanjaya Claresta Yasmine Putri Pribadyo Keishandra Nabila Junistya Ahmad Ghanny Danu Hadi Syaifullah Salsabila Annisa Arista |
| author_facet | Maya Arlini Puspasari Safa Talitha Madani Billy Muhamad Iqbal Erlinda Muslim Beryl Putra Sanjaya Claresta Yasmine Putri Pribadyo Keishandra Nabila Junistya Ahmad Ghanny Danu Hadi Syaifullah Salsabila Annisa Arista |
| author_sort | Maya Arlini Puspasari |
| collection | DOAJ |
| description | Traffic
accidents are the eighth leading cause of death worldwide, and each year,
Indonesia reports an increasing number of such incidents. Human error,
specifically risky driving behaviour such as distraction, is the primary contributors to the accidents. A thorough understanding of
the contributing factors to traffic accidents is crucial to enhancing road
safety initiatives. Therefore, this study aimed to design a model to assess the effect of road
distraction, driving behaviour, and perception of risk on self-reported crashes
by private car drivers in Jakarta, Indonesia, as well as formulate strategies
to improve safety. This study
used a diverse group of 142 drivers from Jakarta as respondents, utilizing a
combination of quantitative methods, such as Partial Least Squares Structural
Equation Modelling (PLS-SEM) and Pearson's Chi-square tests, complemented by
questionnaire instruments such as the Driving behaviour Questionnaire (DBQ),
Road Distractions Scale (RDS), and Risk Perception and Regulation Scale (RPRS).
The results showed that driver distractions significantly increase the
possibility of lapses, while errors, violations, and risk perception
significantly affect the incident of traffic incidents. Furthermore, chi-square
analysis showed that men are more likely to commit
violations and are more distracted by attractive roadside objects compared to
women, who reported a higher incidence of lapses and greater disturbance from
weather conditions. This study offered strategic recommendations with the potential
to lower accident rates and improve driving safety overall. |
| first_indexed | 2024-03-09T02:12:53Z |
| format | Article |
| id | doaj.art-98411103d86043ef85d0c0116b21fccc |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-03-09T02:12:53Z |
| publishDate | 2023-12-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-98411103d86043ef85d0c0116b21fccc2023-12-07T08:27:22ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002023-12-011471548155910.14716/ijtech.v14i7.66766676Effect of Distraction and Driving Behaviour to Traffic Accidents in Jakarta Using Partial Least Squares Structural Equation Modeling (PLS-SEM)Maya Arlini Puspasari0Safa Talitha Madani1Billy Muhamad Iqbal2Erlinda Muslim3Beryl Putra Sanjaya4Claresta Yasmine Putri Pribadyo5Keishandra Nabila Junistya6Ahmad Ghanny7Danu Hadi Syaifullah8Salsabila Annisa Arista9Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, IndonesiaCentre for Business in Society, Coventry University, Coventry, CV1 5FB, UKDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, IndonesiaTraffic accidents are the eighth leading cause of death worldwide, and each year, Indonesia reports an increasing number of such incidents. Human error, specifically risky driving behaviour such as distraction, is the primary contributors to the accidents. A thorough understanding of the contributing factors to traffic accidents is crucial to enhancing road safety initiatives. Therefore, this study aimed to design a model to assess the effect of road distraction, driving behaviour, and perception of risk on self-reported crashes by private car drivers in Jakarta, Indonesia, as well as formulate strategies to improve safety. This study used a diverse group of 142 drivers from Jakarta as respondents, utilizing a combination of quantitative methods, such as Partial Least Squares Structural Equation Modelling (PLS-SEM) and Pearson's Chi-square tests, complemented by questionnaire instruments such as the Driving behaviour Questionnaire (DBQ), Road Distractions Scale (RDS), and Risk Perception and Regulation Scale (RPRS). The results showed that driver distractions significantly increase the possibility of lapses, while errors, violations, and risk perception significantly affect the incident of traffic incidents. Furthermore, chi-square analysis showed that men are more likely to commit violations and are more distracted by attractive roadside objects compared to women, who reported a higher incidence of lapses and greater disturbance from weather conditions. This study offered strategic recommendations with the potential to lower accident rates and improve driving safety overall.https://ijtech.eng.ui.ac.id/article/view/6676driving behaviourdistracted drivingdriving behaviour questionnaire (dbq)road safetystructural equation modelling (sem) |
| spellingShingle | Maya Arlini Puspasari Safa Talitha Madani Billy Muhamad Iqbal Erlinda Muslim Beryl Putra Sanjaya Claresta Yasmine Putri Pribadyo Keishandra Nabila Junistya Ahmad Ghanny Danu Hadi Syaifullah Salsabila Annisa Arista Effect of Distraction and Driving Behaviour to Traffic Accidents in Jakarta Using Partial Least Squares Structural Equation Modeling (PLS-SEM) International Journal of Technology driving behaviour distracted driving driving behaviour questionnaire (dbq) road safety structural equation modelling (sem) |
| title | Effect of Distraction and Driving Behaviour to Traffic Accidents in Jakarta Using Partial Least Squares Structural Equation Modeling (PLS-SEM) |
| title_full | Effect of Distraction and Driving Behaviour to Traffic Accidents in Jakarta Using Partial Least Squares Structural Equation Modeling (PLS-SEM) |
| title_fullStr | Effect of Distraction and Driving Behaviour to Traffic Accidents in Jakarta Using Partial Least Squares Structural Equation Modeling (PLS-SEM) |
| title_full_unstemmed | Effect of Distraction and Driving Behaviour to Traffic Accidents in Jakarta Using Partial Least Squares Structural Equation Modeling (PLS-SEM) |
| title_short | Effect of Distraction and Driving Behaviour to Traffic Accidents in Jakarta Using Partial Least Squares Structural Equation Modeling (PLS-SEM) |
| title_sort | effect of distraction and driving behaviour to traffic accidents in jakarta using partial least squares structural equation modeling pls sem |
| topic | driving behaviour distracted driving driving behaviour questionnaire (dbq) road safety structural equation modelling (sem) |
| url | https://ijtech.eng.ui.ac.id/article/view/6676 |
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