Spatio-Temporal Patterns of Traffic Flow in Nnewi Urban and their Implications for Urban Planning
Authors
Environmental Management Department, Chukwuemeka Odumegwu Ojukwu University, Uli Campus, Anambra State Nigeria (Nigeria)
Environmental Management Department, Chukwuemeka Odumegwu Ojukwu University, Uli Campus, Anambra State Nigeria (Nigeria)
Environmental Management Department, Chukwuemeka Odumegwu Ojukwu University, Uli Campus, Anambra State Nigeria (Nigeria)
Environmental Management Department, Chukwuemeka Odumegwu Ojukwu University, Uli Campus, Anambra State Nigeria (Nigeria)
Environmental Management Department, Chukwuemeka Odumegwu Ojukwu University, Uli Campus, Anambra State Nigeria (Nigeria)
Environmental Management Department, Chukwuemeka Odumegwu Ojukwu University, Uli Campus, Anambra State Nigeria (Nigeria)
Article Information
DOI: 10.51583/IJLTEMAS.2026.151000036
Subject Category: Environmental Management
Volume/Issue: 15/10 | Page No: 437-449
Publication Timeline
Submitted: 2026-10-16
Accepted: 2026-10-22
Published: 2026-11-02
Abstract
Urban traffic in rapidly growing Nigerian cities is increasingly shaped by the spatial concentration of economic activities, residential areas, institutions and transport corridors. This study examined the spatio-temporal pattern of vehicular traffic flow in Nnewi Urban, Anambra State, with particular attention to four traditional traffic zones—Otolo, Uruagu, Umudim and Nnewichi—and considered the implications of the observed patterns for urban planning. The study relied primarily on field traffic counts conducted on four arterial roads: Igwe Orizu Road in Otolo, Ogbufo Road in Uruagu, Owerri Road in Umudim and Nnobi Road in Nnewichi. The traffic counts were averaged over three days and covered twelve hourly periods from 6:00 a.m. to 6:00 p.m. Route interviews (sample size n = 450) and questionnaire surveys (sample size n = 380) administered via systematic random sampling along major corridors provided data on travel behaviour, trip destinations and modal choices. Traffic volume counts were recorded manually in two-way directional flow by trained enumerators classified across thirteen distinct vehicle categories. The results show clear spatial differentiation in traffic intensity. Igwe Orizu Road recorded the highest 12-hour working-day flow of 21,850 vehicles, followed by Nnobi Road with 17,657, Ogbufo Road with 15,002 and Owerri Road with 13,494. The roads also exhibited multiple daily peaks or broad high-volume plateaus rather than a single conventional rush hour. Igwe Orizu Road peaked at 8:00–9:00 a.m. (1,888 veh/hr) and again at 5:00–6:00 p.m. (2,168 veh/hr); Ogbufo Road reached a plateau at 9:00–10:00 a.m. (1,319 veh/hr) and an evening peak at 5:00–6:00 p.m. (1,369 veh/hr); Owerri Road exhibited a late morning peak at 10:00–11:00 a.m. (1,316 veh/hr) and an evening maximum at 5:00–6:00 p.m. (1,354 veh/hr), with an off-peak minimum of 997 veh/hr at 11:00 a.m.–12:00 p.m.; while Nnobi Road reached its morning maximum at 9:00–10:00 a.m. (1,641 veh/hr) and its evening maximum at 5:00–6:00 p.m. (1,722 veh/hr). On-site vehicle-type counts revealed that commercial motorcycles and tricycles accounted for 52% of actual traffic flow, private cars 22%, mini-buses/taxis 18%, and heavy haulage vehicles 8%, whereas route interviews reflected a user modal preference of 40% motorcycles, 30% buses, 20% cars, and 10% haulage. Daily trips were strongly associated with commercial and industrial destinations, building-material and automobile-related markets, roadside activities, schools and the teaching hospital. The study argues that Nnewi's traffic problem is spatially differentiated and therefore requires zone-sensitive planning rather than a uniform city-wide response. Priority measures include coordinated land-use and transport planning, junction management, loading and unloading controls, improved public transport, selective one-way circulation, parking management and protection of road corridors from incompatible roadside activities.
Keywords
traffic flow; spatio-temporal pattern; Nnewi; traffic zones; peak hour; modal choice; urban planning; transport planning
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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