Skip to content
Research Article Open access CC BY 4.0

An Analysis of the Socioeconomic Benefits Arising from Kubwa Rail Station in Abuja, Nigeria

Komolafe Emmanuel A., Bello A. Victoria

Asian Journal of Economics, Business and Accounting · pp. 557–569 · Published 16 Apr 2024

10.9734/ajeba/2024/v24i51330

Abstract

The study examined socioeconomic benefits arising from the location of the rail station in Kubwa community, Abuja. The study adopted survey research, and data was collected from household heads of rented multi-tenanted apartments in Kubwa within 3km of Kubwa rail station. Structured questionnaires were used to elicit data from a sample of household heads of rented multi-tenanted apartments in Kubwa. The collected data was analysed using a weighted mean score and the Kruktal-Wallis test. In a weighted mean, factors are ranked from 1st to last position in descending order of their weighted means, such that the factor with the highest weighted mean ranks first while the one with the lowest weighted mean ranks last. This method is used for its simplicity and ease of communicating the results of the research. The study found that within a one-kilometre radius of the rail station, increased property value is the highest socioeconomic benefit derived from the rail station. Following this came cost-effectiveness, increased retail activity, and improved accessibility and connectivity. The research also revealed that increased property value is the most significant benefit within a two-kilometre radius, followed by improved accessibility, connectivity, and cost-effectiveness. Also, within a three-kilometre radius, cost-effectiveness is the highest socioeconomic benefit derived from the rail station, followed closely by improved accessibility and connectivity, and time schedule and organization. Rail stations play a crucial role in urban and regional development that extends beyond mere accessibility by catalysing a variety of socioeconomic effects in the areas they serve. Consequently, the government must place a high priority on the meticulous maintenance and upkeep of the rail infrastructure.

Rail station socioeconomic benefit rail transportation

References (19)

  1. 1 The Impact of Railway Stations on Residential and Commercial Property Value: A Meta-analysis [DOI]
  2. 2 Critical barriers to green building technologies adoption in developing countries: The case of Ghana [DOI]
  3. 3 Survey Methods in Social Investigation [DOI]
  4. 4 Critical success factors (CSFs) for sustainable affordable housing [DOI]
  5. 5 The value of disappearing beaches: A hedonic pricing model with endogenous beach width [DOI]
  6. 6 Land value capture finance for transport accessibility: a review [DOI]
  7. 7 Hedonic values of physical infrastructure in house rentals [DOI]
  8. 8 The Influence of Consumers Behavior on the Variables Determining Residential Property Values in Lagos, Nigeria [DOI]
  9. 9 Infrastructure Finance and Development in Nigeria [DOI]
  10. 10 Can transport infrastructure change regions’ economic fortunes? Some evidence from Europe and China [DOI]
  11. 11 Socioeconomic Benefits of the Shinkansen Network [DOI]
  12. 12 Urban Transformation and Property Value Variation. The Role of HS Stations [DOI]
  13. 13 Visual Valuation: Implementing Valuation Modeling and Geographic Information Solutions
  14. 14 Glycans and Glycosaminoglycans as Clinical Biomarkers and Therapeutics - Part A [DOI]
  15. 15 Stations as a service future railway stations: from vision to delivery [DOI]
  16. 16 Shinkansen/High Speed Railway [DOI]
  17. 17 A Station Location Identification Model for an Integrated Interoperable High-Speed Rail System [DOI]
  18. 18 Ppi Partnerships Versus Ppi Divorces in Developing Countries (or are We Switching from Pppi to Ppdi?) [DOI]
  19. 19 ECONOMIC SIGNIFICANCE OF HIGH SPEED RAIL

Cited by 2

Dynamics of residential property values along rail line – a case of Kubwa station, Abuja, Nigeria

Emmanuel Ademola Komolafe, Abiodun Kolawole Oyetunji, Oyindamola 'Semilore Fawunmi · Property Management · 2025

Showing 1 of 2 known citations — external sources report more than can currently be individually listed.

Related research

Article metrics

Real usage data collected on this platform.

7

Page views

0

PDF downloads

0

Outbound clicks

2

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.