Prediction model of motorcycle accident in economic and driving behaviour factors

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.263651

Keywords:

traffic accidents, motorcyclist, behavior, demographics characteristics, structural equation modeling (SEM), ), SmartPLS (Partial Least Square)

Abstract

The number of motorized vehicles, especially motorcycles, is also offset by increased traffic accidents. As is known, road accidents essentially depend on four interrelated factors: human behavior, vehicle efficiency, environmental conditions, and the characteristics of the infrastructure. However, most accidents are attributable to the first three factors, almost always to improper user behavior. This study aims to determine motorcyclists’ socio-economic characteristics and conduct on the intensity of accidents. The research location is on the Pandaan-Purwosari National Road, Pasuruan Regency, Section 094‑098 (Surabaya-Malang). Three hundred forty respondents are motorcyclists who have experienced accidents in this segment. The research method is interviews and questionnaires—data analysis using Structure Equation Modeling (SEM), with software SmartPLS (Partial Least Square).

The result of accident modeling Y=0.299X1+0.154X2+0.077X3+0.554X4. The first biggest influence on the chance of an accident is the characteristics of driving behavior (X4) exceeding speed (X4.10). The more often the rider exceeds the rate, the higher the chance of an accident. The second most significant influence of socio-economic characteristics (X1) is the age indicator (X1.2), the more mobility in the productive age, the higher the risk of accidents.

Supporting Agency

  • I am very grateful to Dr. Ir. M. Zainul Arifin, MT, and Prof. Dr. Ludfi Djakfar MSCE., PhD., IPU, for the guidance given and sound advice during my studies, and I am grateful to my parents, brothers and sisters, and my friends who have helped pray and encourage in the making of this article.

Author Biographies

Friska Putri, Brawijaya University

Bachelor of Engineering

Department of Civil Engineering

Muhammad Arifin, Brawijaya University

Doctor of Civil Engineering

Department of Civil Engineering

Ludfi Djakfar, Brawijaya University

Professor of Civil Engineering

Department of Civil Engineering

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Published

2022-08-31

How to Cite

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. https://doi.org/10.15587/1729-4061.2022.263651

Issue

Vol. 4 No. 3(118) (2022): Control processes

Section

Control processes

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Copyright (c) 2022 Friska Putri, Muhammad Arifin, Ludfi Djakfar

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