Vol. 18 No. 1 (2021): Green
Articles

Hierarchical multiple regression modelling on predictors of neighbourhood satisfaction in violence-induced segregated urban environments

Rasheed Osuolale Oladosu
Department of Urban and Regional Planning, Abubakar Tafawa Balewa University, Bauchi, Bauchi State, Nigeria
Ahmad Nazri Muhamad Ludin
Centre for Innovative Planning and Development, Department of Urban and Regional Planning, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia

Published 2021-03-31

Keywords

  • Hierarchical regression models,
  • Jos,
  • Neighbourhood satisfaction,
  • Predictors,
  • VISUE (violence-induced segregated urban environment)

How to Cite

Osuolale Oladosu, R., Nazri Muhamad Ludin, A., & Gani Bogoro, A. (2021). Hierarchical multiple regression modelling on predictors of neighbourhood satisfaction in violence-induced segregated urban environments. A|Z ITU JOURNAL OF THE FACULTY OF ARCHITECTURE, 18(1), 45–62. https://doi.org/doi: 10.5505/itujfa.2021.71224

Abstract

Violence-induced segregated urban environments (VISUE) are quite unique urban centres for their characteristic of neighbourhood sharing among residents before the resultant parting triggered by violence. Yet, not much is known about the neighbourhood satisfaction of inhabitants in this type of urban setting. Such knowledge can provide hints on the factors to be prioritized in planning for improvement of neighbourhood satisfaction of residents in these cities. This paper thus examines the key predictors of neighbourhood satisfaction in a VISUE. Household heads (n = 289), cutting across the three identifiable types of neighbourhoods in Jos, Nigeria, expressed their level of satisfaction on a 71-item self-administered structured survey instrument. The principal component analysis with varimax rotation option explored 10 factors to represent the examined attributes of the neighbourhood environment. The third (final) in the sequence of hierarchical regression models estimated, indicates that none of the socio-economic and demographic attributes and dwelling attributes is significant in predicting neighbourhood satisfaction in VISUE. Three factors: neighbourhood safety and stability, social relationships, and neighbourhood facilities and services, emerge as the key predictors of neighbourhood satisfaction. On the basis of these findings, these three attributes are required to be given precedence in any policy action aiming to improve residents’ satisfaction with their neighbourhoods in VISUE.