EconPapers    
Economics at your fingertips  
 

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

Siregar Martha Leni () and Muskananfola Max Rudolf ()
Additional contact information
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

LOGI – Scientific Journal on Transport and Logistics, 2024, vol. 15, issue 1, 11

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.

Keywords: Truck safety; medium-duty trucks; fatal and non-fatal crashes; logistic regression; motorcycle crashes (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/logi-2024-0014 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:logitl:v:15:y:2024:i:1:p:11:n:1001

DOI: 10.2478/logi-2024-0014

Access Statistics for this article

LOGI – Scientific Journal on Transport and Logistics is currently edited by Rudolf Kampf

More articles in LOGI – Scientific Journal on Transport and Logistics from Sciendo
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-20
Handle: RePEc:vrs:logitl:v:15:y:2024:i:1:p:11:n:1001