The effect of road and environmental characteristics on pedestrian hit-and-run accidents in Ghana

Eric Nimako Aidoo*, Richard Amoh-Gyimah, Williams Ackaah

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

70 Citations (Scopus)

Abstract

The number of pedestrians who have died as a result of being hit by vehicles has increased in recent years, in addition to vehicle passenger deaths. Many pedestrians who were involved in road traffic accident died as a result of the driver leaving the pedestrian who was struck unattended at the scene of the accident. This paper seeks to determine the effect of road and environmental characteristics on pedestrian hit-and-run accidents in Ghana. Using pedestrian accident data extracted from the National Road Traffic Accident Database at the Building and Road Research Institute (BRRI) of the Council for Scientific and Industrial Research (CSIR), Ghana, a binary logit model was employed in the analysis. The results from the estimated model indicate that fatal accidents, unclear weather, nighttime conditions, and straight and flat road sections without medians and junctions significantly increase the likelihood that the vehicle driver will leave the scene after hitting a pedestrian. Thus, integrating median separation and speed humps into road design and construction and installing street lights will help to curb the problem of pedestrian hit-and-run accidents in Ghana.

Original languageEnglish
Pages (from-to)23-27
Number of pages5
JournalAccident Analysis and Prevention
Volume53
DOIs
Publication statusPublished - 1 Apr 2013

Keywords

  • Ghana
  • Hit-and-run
  • Logistic regression
  • Pedestrian
  • Road accident

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Safety, Risk, Reliability and Quality
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'The effect of road and environmental characteristics on pedestrian hit-and-run accidents in Ghana'. Together they form a unique fingerprint.

Cite this