Next Article in Journal
Peri-Urban Dynamics in Murcia Region (SE Spain): The Successful Case of the Altorreal Complex
Previous Article in Journal
Agent-Based Route Choice with Learning and Exchange of Information
Open AccessArticle

The Development of an Infrastructure Quality Index for Nigerian Metropolitan Areas Using Multivariate Geo-Statistical Data Fusion

1
School of Geography, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK
2
ICF, Watling House, 33 Cannon Street, London EC4M 5SB, UK
3
Neo-Telligence, 188 Liscard Road, Liscard CH44 5TN, UK
*
Author to whom correspondence should be addressed.
Urban Sci. 2018, 2(3), 59; https://doi.org/10.3390/urbansci2030059
Received: 7 July 2018 / Revised: 12 July 2018 / Accepted: 14 July 2018 / Published: 17 July 2018
  |  
PDF [3390 KB, uploaded 17 July 2018]
  |  

Abstract

Nigeria recently witnessed a decade of urban, economic, and social transformation. However, certain features of the Nigerian business environment act as constraints on economic growth. These characteristics also deter investment and exasperate business competitiveness. Inadequate infrastructure is identified as a major constraint to growth and competitiveness. This article summarises the technical development of a City Infrastructure Quality Index (CIQI) aimed at providing a relative measure of performance in urban infrastructure in Nigeria, focusing specifically on factors of production and resources for inclusive economic growth and development. The design of the CIQI adopts quality assurance principles undergirded by a five-stage systematic integration and calibration of spatial statistics derived from secondary data sources. The results have allowed for the piloting of a comparative framework for gauging good practice, excellence and adherence to recognisable standards in the provision of infrastructure across 37 Nigerian urban and metropolitan areas. View Full-Text
Keywords: urban infrastructure quality; Nigeria; data fusion; spatial analysis urban infrastructure quality; Nigeria; data fusion; spatial analysis
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Ojo, A.; Papachristodoulou, N.; Ibeh, S. The Development of an Infrastructure Quality Index for Nigerian Metropolitan Areas Using Multivariate Geo-Statistical Data Fusion. Urban Sci. 2018, 2, 59.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Urban Sci. EISSN 2413-8851 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top