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Factors Associated with Medium Trucks Casualties in the Special Region of Yogyakarta, Indonesia

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Listed:
  • Siregar Martha Leni

    (Universitas Indonesia, Department of Civil Engineering, Faculty of Engineering, Depok , Indonesia)

  • Muskananfola Max Rudolf

    (Universitas Diponegoro, Department of Aquatic Resources, Faculty of Fisheries and Marine Science, Semarang, Indonesia)

Abstract

With medium-duty freight trucks accounting for 37.39% of all freight truck crashes in DI Yogyakarta (the Special Region of Yogyakarta) Province, Indonesia, this study investigates the factors contributing to these accidents and quantifies their association with crash outcomes. Logistic regression analysis is used to predict the probability of a fatal crash based on various factors, including crash severity and potential causal relationships. The model examines the association between categorical variables and the odds of a fatal versus non-fatal crash, explicitly focusing on medium-duty freight truck involvement. The findings indicate that non-freight vehicle drivers experience 1.215 times higher odds of fatality compared to freight vehicle drivers. Additionally, passengers in truck crashes, including those involving medium-duty trucks, face an elevated risk of severe injuries. This study provides crucial insights into the factors influencing crash outcomes in accidents involving medium-duty freight trucks, necessitating targeted safety interventions.

Suggested Citation

  • Siregar Martha Leni & Muskananfola Max Rudolf, 2024. "Factors Associated with Medium Trucks Casualties in the Special Region of Yogyakarta, Indonesia," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 15(1), pages 1-11.
    • Handle: RePEc:vrs:logitl:v:15:y:2024:i:1:p:11:n:1001
    DOI: 10.2478/logi-2024-0014
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    References listed on IDEAS

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    1. Justyna Smagowicz & Cezary Szwed & Tomaž Berlec, 2024. "An Assortment–Quantity Optimization Problem in Printing Industry Using Simulation Modelling," Sustainability, MDPI, vol. 16(4), pages 1-25, February.
    2. Raffaele Carli & Mariagrazia Dotoli & Salvatore Digiesi & Francesco Facchini & Giorgio Mossa, 2020. "Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
    3. Miguel Vieira & Samuel Moniz & Bruno S. Gonçalves & Tânia Pinto-Varela & Ana Paula Barbosa-Póvoa & Pedro Neto, 2022. "A two-level optimisation-simulation method for production planning and scheduling: the industrial case of a human–robot collaborative assembly line," International Journal of Production Research, Taylor & Francis Journals, vol. 60(9), pages 2942-2962, May.
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