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Truck accident risk model for east java, indonesia

  • Achmad Wicaksono
  • , Muhammad Zainul Arifin
  • , Meriana Wahyu Nugroho
  • , Yayan Rachmadi Utomo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

East Java Province has popular as one of the highest traffic accident in Indonesia, one of the problems is a traffic accidents involving truck. Traffic police data shows that the number of truck accidents is high in the national road segment of Sidoarjo-Ngawi. Therefore, the purpose of this study is to develop the truck accident risk model to get the determinant factor of truck accidents in a study area. The analytical method used is logistic regression analysis, by using interviewed data taken from 88 truck drivers that has been involved in a traffic accident. The results of analysis show that the model for the frequent accident is contributing by their frequent violating the traffic sign behavior. Finally, it is interesting to know that the truck position off the road pavement after accident is affected by length of trip duration, the habit of smoking while driving, and overloaded.

Original languageEnglish
Title of host publicationICCOEE 2020 - Proceedings of the 6th International Conference on Civil, Offshore and Environmental Engineering, ICCOEE 2020
EditorsBashar S. Mohammed, Shamsul Rahman M. Kutty, Abdul-Lateef Balogun, Nasir Shafiq, Hisham Mohamad
PublisherSpringer Science and Business Media Deutschland GmbH
Pages828-835
Number of pages8
ISBN (Print)9789813363106
DOIs
Publication statusPublished - 2021
Event6th International Conference on Civil, Offshore and Environmental Engineering, ICCOEE 2020 - Kuching, Malaysia
Duration: 13 Jul 2021 → 15 Jul 2021

Publication series

NameLecture Notes in Civil Engineering
Volume132
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference6th International Conference on Civil, Offshore and Environmental Engineering, ICCOEE 2020
Country/TerritoryMalaysia
CityKuching
Period13/07/21 → 15/07/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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