Survival pattern of first accident among commercial drivers in the Greater Accra Region of Ghana

Salifu Nanga; Nii Afotey Odai; Anani Lotsi

doi:10.1016/j.aap.2017.04.003

Survival pattern of first accident among commercial drivers in the Greater Accra Region of Ghana

Salifu Nanga, Nii Afotey Odai, Anani Lotsi

Department of Statistics

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

In this study, the average accident risk of commercial drivers in the Greater Accra region of Ghana and its associated risks were examined based on a survey data collected using paper-based questionnaires from 204 commercial drivers from the Greater Accra Region of Ghana. The Cox Proportional Hazards Model was used for multivariate analysis while the Kaplan-Meier (KM) Model was used to study the survival patterns of the commercial drivers. The study revealed that the median survival time for an accident to happen is 2.50 years. Good roads provided a better chance of survival than bad roads and experienced drivers have a better chance of survival than the inexperienced drivers. Age of driver, alcohol usage of driver, marital status, condition of road and duration of driver's license were found to be related to the risk of accident.

Original language	English
Pages (from-to)	92-95
Number of pages	4
Journal	Accident Analysis and Prevention
Volume	103
DOIs	https://doi.org/10.1016/j.aap.2017.04.003
Publication status	Published - 1 Jun 2017

Keywords

Accident
Cox Proportional Hazards
Drivers
Kaplan-Meier (KM) Model

UN SDGs

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

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10.1016/j.aap.2017.04.003

Cite this

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title = "Survival pattern of first accident among commercial drivers in the Greater Accra Region of Ghana",

abstract = "In this study, the average accident risk of commercial drivers in the Greater Accra region of Ghana and its associated risks were examined based on a survey data collected using paper-based questionnaires from 204 commercial drivers from the Greater Accra Region of Ghana. The Cox Proportional Hazards Model was used for multivariate analysis while the Kaplan-Meier (KM) Model was used to study the survival patterns of the commercial drivers. The study revealed that the median survival time for an accident to happen is 2.50 years. Good roads provided a better chance of survival than bad roads and experienced drivers have a better chance of survival than the inexperienced drivers. Age of driver, alcohol usage of driver, marital status, condition of road and duration of driver's license were found to be related to the risk of accident.",

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AU - Nanga, Salifu

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AU - Lotsi, Anani

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N2 - In this study, the average accident risk of commercial drivers in the Greater Accra region of Ghana and its associated risks were examined based on a survey data collected using paper-based questionnaires from 204 commercial drivers from the Greater Accra Region of Ghana. The Cox Proportional Hazards Model was used for multivariate analysis while the Kaplan-Meier (KM) Model was used to study the survival patterns of the commercial drivers. The study revealed that the median survival time for an accident to happen is 2.50 years. Good roads provided a better chance of survival than bad roads and experienced drivers have a better chance of survival than the inexperienced drivers. Age of driver, alcohol usage of driver, marital status, condition of road and duration of driver's license were found to be related to the risk of accident.

AB - In this study, the average accident risk of commercial drivers in the Greater Accra region of Ghana and its associated risks were examined based on a survey data collected using paper-based questionnaires from 204 commercial drivers from the Greater Accra Region of Ghana. The Cox Proportional Hazards Model was used for multivariate analysis while the Kaplan-Meier (KM) Model was used to study the survival patterns of the commercial drivers. The study revealed that the median survival time for an accident to happen is 2.50 years. Good roads provided a better chance of survival than bad roads and experienced drivers have a better chance of survival than the inexperienced drivers. Age of driver, alcohol usage of driver, marital status, condition of road and duration of driver's license were found to be related to the risk of accident.

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KW - Cox Proportional Hazards

KW - Drivers

KW - Kaplan-Meier (KM) Model

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Survival pattern of first accident among commercial drivers in the Greater Accra Region of Ghana

Abstract

Keywords

UN SDGs

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