International Journal of Human Capital in Urban Management
Quarterly Publication

Navigating urban gridlock: A study of traffic congestion and sustainable mobility solutions in the urban center

https://doi.org/10.22034/IJHCUM.2025.02.04
Volume 10, Issue 2 - Serial Number 38
Spring 2025
Pages 251-268
International Journal of Human Capital in Urban Management

Document Type : ORIGINAL RESEARCH ARTICLE

Authors

D. V. Ogunkan 1
E. O. Olaleye 2
O. P. Akinpelu 1
I. O. Oyeleye 3

1 Department of Urban and Regional Planning, Bells University of Technology, Ota, Nigeria

2 Department of Community and Regional Planning, Alabama A&M University, Normal, AL, USA

3 Department of Tourism Studies, Osun State University, Osogbo, Nigeria

Abstract
BACKGROUND AND OBJECTIVES: Traffic congestion, a prevalent global issue, has entrenched itself as a persistent problem, posing substantial challenges for residents and commuters, especially in developing nations. This study addresses this concern by delving into the intensity, patterns, and traffic characteristics within selected road corridors in the Abeokuta metropolis, Nigeria.
METHODS: Data on road types and land use were systematically gathered through structured observations using a pre-designed checklist. Traffic counts were conducted to capture characteristics during the morning and evening peak periods. Traffic volume and capacity were measured in "vehicles per hour" (vph) and Passenger Car Units per hour (PCU/hr). To analyze the data, a chi-square test was used to examine differences in traffic volume between the peak hours, while Analysis of Variance  was applied to assess variations in traffic composition across the studied road corridors.
FINDINGS: 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, influencing 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, Analysis of Variance results (f=3.3106; p=1.0000) suggest that traffic composition did not significantly differ across the surveyed roads.
CONCLUSION:  Based on the findings of the study, it is recommended to enhance road capacities by upgrading infrastructure to accommodate both current and future transportation needs. Additionally, the development of alternative traffic routes, such as rail lines, is suggested to ease the movement of heavy-duty trucks and reduce road congestion. The adoption of intelligent transportation systems is also encouraged to improve traffic management and optimize transportation efficiency.

Keywords

Traffic congestion
Land use
Road capacities
Traffic composition
Commuters
Subjects
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  • Receive Date 05 August 2024
  • Revise Date 10 October 2024
  • Accept Date 02 November 2024

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