No abstract

Road Traffic Crashes (RTC) are a global concern because of the frequencies of deaths, injuries and material losses experienced by countries as a result of the menace. The significance of the effect of RTC to individuals, societies and nations at large call for investigation into the pattern of the menace across neighbourhoods. This paper examined the characteristics, spatial pattern and concentrations of RTC in Nigeria, Oyo state and across Local Government Areas (LGA). Data on RTC were obtained from Federal Road Safety Commission (FRSC). The longitudes and latitudes of RTC locations were collected based on landmarks provided by FRSC. RTC cases were found to pose a greater risk of deaths than most of the diseases that is the focus of individuals, government, nongovernmental organizations and international bodies in Nigeria. The analysis showed that there was less than 1% likelihood that the observed clustering pattern in RTC could be a result of random chance. The Unique RTC center was found to be Akinyele LGA. The standard deviational ellipse was found to be a more elegant measure of spatial concentration than the standard distance deviation. The black spots include Oyo West, Oyo East, Afijio, Akinyele, Lagelu, Egbeda, Ona Ara, Oluyole, Ido, Ibadan North, Ibadan North East, Ibadan North West, Ibadan South East and Ibadan South West LGA. The results should enable the orientation of safety and injury prevention policies targeted towards reducing the frequency of RTC and deaths of young adults in the state.

Road traffic crashes have become a global issue of concern because of the number of deaths and injuries. The model of interest is a linear cross sectional Spatial Autoregressive (SAR) model with additional endogenous variables, exogenous variables and SAR disturbances. The focus is on RTC in Oyo state, Nigeria. The number of RTC in each LGA of the state is the dependent variable. A 33×33 weights matrix; travel density; land area and major road length of each LGA were used as exogenous variables and population was the IV. The objective is to determine the hotspots and examine whether the number of RTC cases in a given LGA is affected by the number of RTC cases of neighbouring LGAs and an instrumental variable. The hotspots include Oluyole, Ido, Akinyele, Egbeda, Atiba, Oyo East, and Ogbomosho South LGAs. The study concludes that the number of RTC in a given LGA is affected by the number of RTC in contiguous LGAs. The policy implication is that road safety and security measures must be administered simultaneously to LGAs with high concentration of RTC and their neighbours to achieve significant remedial effect.

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