Heavy vehicle crashes in Addis Ababa: Relationship between contributing factors and severity of outcomes

• Autorzy: Tulu Getu Segni , Lisinge Robert Tama , Wedajo Bikila Teklu

Identyfikatory

DOI

10.14254/jsdtl.2022.7-2.2

• Języki publikacji: EN

Abstrakty

EN

Random parameter logit regression is used to analyze police-reported data on 8,253 heavy vehicle-related crashes in Addis Ababa between July 2014 and June 2017. The analysis shows that fatal crashes are more likely to occur during the day and on weekdays, particularly when the circulation of trucks is high. It also shows the disproportionately high involvement of young drivers in heavy vehicle crashes in the city. However, the likelihood of crashes resulting in fatalities and serious injuries increases slightly compared to those resulting only in property damage as the age of drivers increases. Low levels of drivers' education, the fact that drivers are often not the owners of vehicles, ownership of vehicles by companies and government organizations, and inappropriate road medians' inappropriate design are also significant contributors to fatal crashes. Curbing deaths and injuries from heavy vehicle crashes in Addis Ababa requires strict enforcement of traffic rules and regulations, particularly speed limits; reforms in driver's training and certification; improved safety culture of vehicle owners and design of road infrastructure. Ethiopia's national road safety strategy launched in July 2022 addresses these issues. Hence the government is taking steps in the right direction.

Słowa kluczowe

EN

heavy vehicle; crashes; road safety; random parameter logit regression; risk; Ethiopia; Addis Ababa

• Wydawca: Fundacja Centrum Badań Socjologicznych ; Scientific Publishing House "SciView"
• Czasopismo: Journal of Sustainable Development of Transport and Logistics
• Rocznik: 2022
• Tom: Vol. 7, No. 2
• Strony: 25--40
• Opis fizyczny: Bibliogr. 71 poz., tab., wykr., wzory

Twórcy

autor

Tulu Getu Segni

• School of Civil and Environmental Engineering, Addis Ababa Institute of Technology, 2QR7+584, King George VI St, Addis Ababa 1000, Ethiopia

• https://orcid.org/0000-0001-8392-7466

autor

Lisinge Robert Tama

• United Nation Economic Commission for Africa, Addis Ababa 1000, Ethiopia

• https://orcid.org/0000-0003-1308-1236

autor

Wedajo Bikila Teklu

• School of Civil and Environmental Engineering, Addis Ababa Institute of Technology, 2QR7+584, King George VI St, Addis Ababa 1000, Ethiopia

• https://orcid.org/0000-0002-8788-1685

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).