Modeling of Motorists’ reactions on the use of Second Niger Bridge in Southern Part of Nigeria

This study analyzed motorists’ reactions to the use of the Second Niger Bridge. It focused on safety perceptions, driving behavior, and traffic flow dynamics. Data were collected through field observations during peak and off-peak hours. Surveys were distributed to motorists using the bridge, either directly or through online platforms. Experimental data were also collected by observing driver responses. Data analysis used Response Surface Methodology (RSM) to model relationships between independent variables (e.g., expansion joint condition, corrosion level, traffic density) and dependent variables (e.g., motorist reactions, traffic flow). Results showed that most users perceive safety risks due to visible deterioration, insufficient safety features, and poor maintenance. Regarding travel time, 58% acknowledged a significant reduction due to the bridge. Improving expansion joints will also help achieve fuel savings, as 78% of users reported. Motorists adapt by reducing speed, changing lanes, and avoiding damaged sections. However, this behavior results in increased travel time, higher fuel consumption, and traffic inefficiency. 81% believe that accident risk rises during congestion, and 51% believe traffic improves when the bridge is in good condition. The study concludes that the bridge is crucial for regional transport. Still, its current state undermines safety, efficiency, and public confidence. Stronger maintenance policies, better safety features, and improved user engagement are essential for sustainability. The peak of the curve, located at a deviation of 0.000, signifies the highest design precision at that specific set of factor levels.