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Journals / Journal of Transportation and Logistics / 2026 / Volume: 10 Issue: 1

Geospatial Mapping for Effective Public Infrastructure: A Scenario of Bus Stops in Akure, South Ondo State, Nigeria

Herbert Tata(Federal University of Technology Akure, Department of Surveying and Geoinformatics)0000-0002-9755-1612
Clementina Olaoye(Leadcity University Tollgate, Department of Surveying and Geoinformatics Ibadan)0009-0009-0973-0767
Pages
—
Publication Date
2025-05-06
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The study concludes that mapping and analyzing bus stop spatial distribution is essential for optimizing public infrastructure.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The bus stop is a designated place where buses stop for passengers to board and alight from.
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Key Findings & Data:A total of 73 bus stops were identified within the study area.
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Conclusion & Impact:The study concludes that mapping and analyzing bus stop spatial distribution is essential for optimizing public infrastructure.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Geospatial Mapping · Infrastructure · Bus Stops

Abstract

The bus stop is a designated place where buses stop for passengers to board and alight from. This study aims to map bus stops for effective public infrastructure using Geographic Information Systems (GIS). A total of 73 bus stops were identified within the study area. Data for the bus stops were collected using a hand-held GPS Map 76 CSX, while attribute data was sourced from the Ministry of Transportation and the base map from Google Earth. The study employed ArcGIS 10.3 software, where a database was created and different queries were performed based on attribute data. Two spatial distribution methods were used: the Quadrat method and the Nearest Neighbour method. The Quadrat method yielded a mean of 0.081111, a variance of 2.78145, and a variance/mean ratio of 3.432507, while the Nearest Neighbour method produced a z-score of −9.84310 and a p-value of 0.00000. Buffer analysis at 300 m and density analysis were also performed. Results from both methods indicated that the bus stops were clustered. The study concludes that mapping and analyzing bus stop spatial distribution is essential for optimizing public infrastructure.

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Cite This Article

Tata, H., Olaoye, C. (2025). Geospatial Mapping for Effective Public Infrastructure: A Scenario of Bus Stops in Akure, South Ondo State, Nigeria. Journal of Transportation and Logistics, Volume: 10 Issue: 1. https://doi.org/10.26650/JTL.2025.1427230

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