Case Studies
May 10, 2019

Association of Nondwelling Attributes with Residential Satisfaction in Segregated Urban Environments

Publication: Journal of Urban Planning and Development
Volume 145, Issue 3

Abstract

This study is an assessment of residential satisfaction with nondwelling components in segregated urban Jos, Nigeria. Data from 318 household heads collected through self-administered questionnaires were analyzed using descriptive statistics, factor analysis, and hierarchical regression analysis. The results showed that residents were generally not satisfied with their residential environment, but at varying degrees among the parameters that were employed for the assessment. satisfaction was higher with neighborhood social relationships and ethnoreligious homogeny than neighborhood density and access to strategic areas and social infrastructure. They were least satisfied with security and crime. The regression model that was estimated for the study explained 93% to determine residential satisfaction with nine predictor attributes. The very high beta coefficient of the model suggests that residential satisfaction of the inhabitants of segregated urban environments can be enhanced through improvement in the five parameters and more strongly on security and crime, access to strategic areas and infrastructure, and neighborhood density. The insignificance of all the sociodemographic attributes in the model implied that residential satisfaction of violence-induced segregated urban dwellers can be improved irrespective of age, gender, ethnic group, religion, education level, income, marital status, household size, housing tenure, and duration of stay in the neighborhood environment.

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 145Issue 3September 2019

History

Received: Apr 4, 2018
Accepted: Dec 10, 2018
Published online: May 10, 2019
Published in print: Sep 1, 2019
Discussion open until: Oct 10, 2019

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Authors

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Ph.D. Scholar, Dept. of Urban and Regional Planning, Faculty of Built Environment, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia (corresponding author). ORCID: https://orcid.org/0000-0003-3806-4547. Email: [email protected]
Ahmad Nazri Bin Muhamad Ludin
Professor, Centre for Innovative Planning and Development, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.

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