Analysis of four-wheel accident model using structural equation modeling method

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.282647

Keywords:

traffic accidents, driver behavior, Structural Equation Modeling (SEM), SmartPLS

Abstract

Ambon City is the capital of Maluku Province. The rapid growth of transportation facilities in Ambon City has resulted in traffic problems such as traffic accidents. This study aims to model the probability of four-wheeled vehicle accidents. Factors reviewed in this study include socioeconomic and travel patterns, driving equipment and preparation, driving habits, and driving behavior. The survey was conducted using interview and questionnaire survey methods with a total of 127 respondents who had experienced an accident. The research method used is data analysis using Structural Equation Modeling (SEM) using SmartPLS software. Result of accident modeling Y=‒0.203X1+(‒0.179X2)+0.214X3+0.536X4. The first biggest influence on the chance of an accident is driving behavior characteristics (X4) is driving under the influence of alcohol (X4.7). The more often you drive under the influence of alcohol, the higher the chance of an accident. Thus, when a driver drives its vehicle under the influence of alcohol, the higher the chance that the driver will have a traffic accident. So that there is a need for cooperation between the police and related parties in dealing with accidents and reducing the risk of traffic accidents such as providing socialization or information, through newspapers or electronic media to the people in Ambon City regarding the importance of increasing awareness of driving safety

Supporting Agency

  • The author's thanks are addressed to the supervisory lecturer at Brawijaya University, who has guided the writing of this journal.

Author Biographies

Muhammad Zainul Arifin, Brawijaya University

Doctor of Transportation Engineering, Associate Professor

Department of Civil Engineering

Frando Simon Hukom, Brawijaya University

Fresh Graduate of Magister Transportation Engineering

Department of Civil Engineering

Friska Feronica Bn Putri, Brawijaya University

Fresh Graduate of Magister Transportation Engineering

Department of Civil Engineering

References

  1. Fisa, R., Musukuma, M., Sampa, M., Musonda, P., Young, T. (2022). Effects of interventions for preventing road traffic crashes: an overview of systematic reviews. BMC Public Health, 22 (1). doi: https://doi.org/10.1186/s12889-021-12253-y
  2. Global status report on road safety 2015. World Health Organization. Available at: https://www.afro.who.int/publications/global-status-report-road-safety-2015
  3. Ameratunga, S., Hijar, M., Norton, R. (2006). Road-traffic injuries: confronting disparities to address a global-health problem. The Lancet, 367 (9521), 1533–1540. doi: https://doi.org/10.1016/s0140-6736(06)68654-6
  4. Hukom, F. S., Djakfar, L., Arifin, M. Z. (2023). Model Prediksi Kecelakaan Kendaraan Sepeda Motor pada Ruas Jalan di Kota Ambon. Rekayasa Sipil, 17 (2), 217–222. doi: https://doi.org/10.21776/ub.rekayasasipil.2023.017.02.14
  5. Yuniar, D., Djakfar, L., Wicaksono, A., Efendi, A. (2021). Model of Truck Travel Timeliness Based on Driver Environment Psychology and Technical Factor: A Warp.PLS-SEM Approach. Journal of Physics: Conference Series, 1783 (1), 012100. doi: https://doi.org/10.1088/1742-6596/1783/1/012100
  6. Suraji, A., Djakfar, L., Wicaksono, A., Marjono, M., Putranto, L. S., Susilo, S. H. (2021). Analysis of intercity bus public transport safety perception modeling using conjoint. Eastern-European Journal of Enterprise Technologies, 4 (3 (112)), 36–42. doi: https://doi.org/10.15587/1729-4061.2021.239255
  7. Putri, F., Arifin, M., Djakfar, L. (2022). Prediction model of motorcycle accident in economic and driving behaviour factors. Eastern-European Journal of Enterprise Technologies, 4 (3 (118)), 27–33. doi: https://doi.org/10.15587/1729-4061.2022.263651
  8. Retallack, A. E., Ostendorf, B. (2020). Relationship Between Traffic Volume and Accident Frequency at Intersections. International Journal of Environmental Research and Public Health, 17 (4), 1393. doi: https://doi.org/10.3390/ijerph17041393
  9. Pervez, A., Lee, J., Huang, H. (2021). Identifying Factors Contributing to the Motorcycle Crash Severity in Pakistan. Journal of Advanced Transportation, 2021, 1–10. doi: https://doi.org/10.1155/2021/6636130
  10. Atombo, C., Wu, C., Zhong, M., Zhang, H. (2016). Investigating the motivational factors influencing drivers intentions to unsafe driving behaviours: Speeding and overtaking violations. Transportation Research Part F: Traffic Psychology and Behaviour, 43, 104–121. doi: https://doi.org/10.1016/j.trf.2016.09.029
  11. Goesman, V. K., Rahardjo, B., Pranoto, P. (2021). Analisis Kecelakaan Lalu Lintas Studi Kasus Jalan Raya Pantura Tuban-Widang Km 0,00-Km 29,00. Bangunan, 26 (1), 45. doi: https://doi.org/10.17977/um071v26i12021p45-62
  12. Pradana, M. F., Intari, D. E., Pratidina D, D. (2019). Analisa Kecelakaan Lalu Lintas Dan Faktor Penyebabnya Di Jalan Raya Cilegon. Jurnal Kajian Teknik Sipil, 4 (2), 165–175. doi: https://doi.org/10.52447/jkts.v4i2.1492
  13. Fajar, M. S. (2015). Analisis Kecelakaan Lalu Lintas Jalan Raya Di Kota Semarang Menggunakan Metode K-Means Clustering. Universitas Negeri Semarang. Available at: https://www.academia.edu/32041815/ANALISIS_KECELAKAAN_LALU_LINTAS_JALAN_RAYA_DI_KOTA_SEMARANG_MENGGUNAKAN_METODE_K_MEANS_CLUSTERING
  14. Utomo, N. (2012). Analisa Faktor Penyebab Kecelakaan Lalu Lintas Pada Segmen Jalan By-Pass Krian-Balongbendo (Km. 26+000-Km. 44+520). Jurnal Teknik Sipil KERN, 2 (2). Available at: http://ejournal.upnjatim.ac.id/index.php/kern/article/view/1370
  15. Wicaksono, D., Fathurochman, R. A., Riyanto, B., Wicaksono, Y. I. (2014). Analisis Kecelakaan Lalu Lintas (Studi Kasus - Jalan Raya Ungaran - Bawen). Karya Teknik Sipil, 3 (2), 345–355. Available at: https://ejournal3.undip.ac.id/index.php/jkts/article/view/5102/
  16. Warpani, S. (2002). Pengelolaan Lalu Lintas dan Angkutan Jalan. Bandung: Penerbit ITB.
  17. Mohamed, M., Bromfield, N. F. (2017). Attitudes, driving behavior, and accident involvement among young male drivers in Saudi Arabia. Transportation Research Part F: Traffic Psychology and Behaviour, 47, 59–71. doi: https://doi.org/10.1016/j.trf.2017.04.009
  18. Fan, Y., Chen, J., Shirkey, G., John, R., Wu, S. R., Park, H., Shao, C. (2016). Applications of structural equation modeling (SEM) in ecological studies: an updated review. Ecological Processes, 5 (1). doi: https://doi.org/10.1186/s13717-016-0063-3
  19. Chavan, E., Roopa, M. (2020). Automatic crash guard for motorcycles. International Journal of Electrical Engineering & Technology (IJEET), 11 (2), 17–26. Available at: http://iaeme.com/MasterAdmin/Journal_uploads/IJEET/VOLUME_11_ISSUE_2/IJEET_11_02_003.pdf
  20. Machsus, Sulistio, H., Wicaksono, A., Djakfar, L. (2014). Generalized Linear And Generalized Additive Models In Studies Of Motorcycle Accident Prediction Models For The North-South Road Corridor In Surabaya. The 17th FSTPT International Symposium. Jember University, 976–986. Available at: https://www.researchgate.net/publication/324709448
  21. Arifin, M., Wicaksono, A., Sulistyono, S. (2019). Motorcycle Accident Probability Based on Characteristics of Socio-Economic, Movement and Behaviors in Surabaya City. Proceedings of the 11th Asia Pacific Transportation and the Environment Conference (APTE 2018). doi: https://doi.org/10.2991/apte-18.2019.29
  22. Yamin, S., Kurniawan, H. (2009). SPSS COMPLETE: Teknik Analisis Statistik Terlengkap dengan software SPSS. Jakarta: Salemba Infotek, 328.
  23. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. (2006). Multivariate Data Analysis. New Jersey: Pearson.
  24. Sholihin, M., Ratmono, D. (2020). Analisis SEM-PLS dengan WarpPLS 7.0. Yogyakarta: ANDI.
  25. Rahman, M. A., Das, S., Sun, X. (2023). Understanding the drowsy driving crash patterns from correspondence regression analysis. Journal of Safety Research, 84, 167–181. doi: https://doi.org/10.1016/j.jsr.2022.10.017
  26. McCartt, A. T., Mayhew, D. R., Braitman, K. A., Ferguson, S. A., Simpson, H. M. (2009). Effects of Age and Experience on Young Driver Crashes: Review of Recent Literature. Traffic Injury Prevention, 10 (3), 209–219. doi: https://doi.org/10.1080/15389580802677807
  27. Global Status Report on Alcohol and Health 2018. World Health Organization. Available at: https://www.who.int/publications/i/item/9789241565639
  28. Jung, S., Xiao, Q., Yoon, Y. (2013). Evaluation of motorcycle safety strategies using the severity of injuries. Accident Analysis & Prevention, 59, 357–364. doi: https://doi.org/10.1016/j.aap.2013.06.030
  29. Shaheed, M. S., Gkritza, K. (2014). A latent class analysis of single-vehicle motorcycle crash severity outcomes. Analytic Methods in Accident Research, 2, 30–38. doi: https://doi.org/10.1016/j.amar.2014.03.002
Analysis of four-wheel accident model using structural equation modeling method

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Published

2023-06-30

How to Cite

Arifin, M. Z., Hukom, F. S., & Bn Putri, F. F. (2023). Analysis of four-wheel accident model using structural equation modeling method. Eastern-European Journal of Enterprise Technologies, 3(3 (123), 38–44. https://doi.org/10.15587/1729-4061.2023.282647

Issue

Vol. 3 No. 3 (123) (2023): Control processes

Section

Control processes

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Copyright (c) 2023 Muhammad Zainul Arifin, Frando Simon Hukom, Friska Feronica Bn Putri

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