Navigating Urban Gridlock: Traffic Congestion and Sustainable Mobility Solutions in Abeokuta Metropolis, Nigeria

Abstract

Abstract Traffic congestion, a prevalent global issue, has entrenched itself as a persistent problem, posing substantial challenges for both residents and commuters, especially in developing nations. This study addresses this concern by delving into the intensity, patterns, and characteristics of traffic within selected road corridors in the Abeokuta metropolis, Nigeria. Data on road types and land use were meticulously collected through structured observations using a pre-designed checklist. Traffic censuses were executed to extract characteristics during morning and evening peak periods. Quantifying traffic volume and capacity in "vehicles per hour" (vph) and Passengers Car Unit per hour (PCU/hr), the study utilized the chi-square test to scrutinize differences in traffic volume during distinct peak hours. Furthermore, Analysis of Variance (ANOVA) was applied to assess variations in traffic composition among the studied road corridors. The study's findings spotlight Sapo-Ijaye-Iyana Mortuary, recording the highest daily peak traffic volume at 2315 vph, with cars dominating at 4444 vph. Buses emerged as the most impactful vehicle class, exerting influence at 4872 PCU/hr. The Chi-square test indicates no significant differences in vph between morning and evening peaks (x = 0.822604; p = 0.84405). Correspondingly, ANOVA results (f = 3.3106; p = 1.0000) suggest that traffic composition did not significantly differ across the surveyed roads. Recommendations from the study emphasize the enhancement of road capacities through upgrades to meet current and future transportation demands. Additionally, alternative traffic routes, such as rail lines, are proposed to facilitate the movement of heavy-duty trucks.