Evaluating Neighborhoods Livability in Nigeria: A Structural Equation Modelling (SEM) Approach

Sule Abass Iyanda, Ojetunde Ismail, Foluke Olanike Fabunmi, Adekunle Sunday Adeogun, Mohammad Abdul Mohit


There is a growing concern about city livability around the world and of particular concern is the aspects of the person-environment relationship which encompasses many characteristics suffice to make a place livable. Extant literature provides livability dimensions such as housing unit characteristics, neighborhood facilities, economic vitality and safety environment. These livability dimensions as well as their attributes found in the extant literature have been reported to have high reliability measurement level. Although, various methods have been applied to examine relationships among the variables however structural equation modeling (SEM) has been found more holistic as a modeling technique to understand and explain the relationships that may exist among variable measurements. Structural equation modeling simultaneously performs multivariate analysis including multiple regression, path and factor analysis in the cause-effect relationships between latent constructs. Therefore, this study investigates the key factors of livability of planned residential neighborhoods in Minna, Nigeria with the research objectives of – (a) to study the livability level of the selected residential neighborhoods, (b) to determine the dimensions and indicators which most influence the level of livability in the selected residential neighborhoods, and (c) to reliably test the efficacy of structural equation modeling (SEM) in the assessment of livability. The methodology adopted in this study includes- Data collection with the aid of structured questionnaire survey administered to the residents of the study area based on stratified random sampling. The data collected was analyzed with the aid of the Statistical Package for Social Sciences (SPSS) 22.0 and AMOS 22.0 software for structural equation modeling (a second-order factor). The study revealed that livability as a second-order factor is indicated by economic vitality, safety environment, neighborhood facilities and housing unit characteristics first-order factors. The result shows that economic vitality (income, mobility and mobility cost) most significantly measures neighborhood livability. Also, results of the model achieved good fit indices such as CFI of 0.907 and the RMSEA value of 0.096. Thus, SEM analyses in this study offer a methodological guide on the efficacy of CFA second-order factor.


Livability, Measurement Model, Second-Order Factor, Model Validation

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Abd El-Fattah T.M.A. (2011). Landscape Infrastructure and Liveable Communities: A Case Study of New Cairo Egypt, (March), 393.

Abdelbaset, M. M. S. (2015). Livability of High-Rise Districts Case Study of West Bay in Doha. Qatar University.

Adewale, A. A., Daud, M. and Salami, L. O. (2013). A Second-Order Factor Gender-Measurement Invariance Analysis of Financial Exclusion in Ilorin, Nigeria International Journal of Trade, Economics and Finance, Vol. 4, No. 6.

Adewale, A.A., Yusuf, M.B.O., Ghani, G.M., Meera, A.K.M and Abdul Manap, T.A. (2012a). The Role of Institutional Trust in the Adoption of Gold Dinar in Kelantan: An Empirical Analysis. Journal of Applied Sciences 12 (20): 2148-2155.

Adeyemi, A. A., Pramanik, A. H., and Meera, A. K. M. (2012b). A Measurement Model of the Determinants of Financial Exclusion among Muslim Micro-entrepreneurs in Ilorin, Nigeria, Journal of Islamic Finance, Vol. 1 (1): 030 – 043. IIUM Institute of Islamic Banking and Finance.

Aigbavboa, C.O., Thwala, W.D. (2014). Factorial validity of the predictive effects of residents‟ needs and expectations in South Africa public housing. Socioeconomica – The Scientific Journal for Theory and Practice of Socio-economic Development, 3(6): 203-218

Asiyanbola, R., Raji, B. and Shaibu, G. (2012). Urban livability in Nigeria- A pilot study of Ago-Iwoye and Ijebu-Igbo in Ogun State. Journal of Environmental Science and Engineering.

Balsas, C. J.L. (2004). Measuring the livability of an urban centre: an exploratory study of key performance indicators,

Planning Practice & Research, Taylor and Francis Vol. 19, Issue 1, 2004 Pp 101-110

Barbara, M.B. (2010). Structural equation modelling with Amos: Basic Concepts, Applications and Programming. Second edition, Routledge, Taylor and Francis Group, LLC

Betram, D. (2009), Likert Scales. Topic Report, the Faculty of Mathematics University of Belgrad.

Bouffard, D. Cook, S. Eisenberg, S. and Mowris, R. (2013). Investigating the Relationships between Urban Design, Microeconomics, and Livability: A Case Study of Hong Kong. Worcester Polytechnic Institute.

Buys, L., Vine, D., and Miller, E. (2013). What makes inner City high density living attractive? Insight from residents in Brisbane, Australia, Environmental Management and Sustainable Development, 2(1), Pp. 14-33

Casselati, A. (1997). „The Nature of Livability‟ in Lennard, SH et.al (eds). Making Cities Liveable. International Making Cities Liveable Conferences, California, USA: Godolier Press.

Centre for Liveable Cities (2011). Liveable & Sustainable Cities for the Future: World Cities Summit 2010 Conference Proceedings.

Chaudhury, A. H. (2005). Urban Livability, Decentralisation and Development: A Comparative Study on Dhaka and Khulna Cities URP Discipline, Khulna University.

Cohen, L., Manion, L. and Morrison, K. (2007). Research Methods in Education, Sixth edition, ROUTLEDGE, Taylor & Francis Group.

Creswell, J. W. (2011). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research 4th Edition.

Dasimah, O. (2009). Assessing Residents‟ Quality of Life in Malaysian New Towns. Asian Social Science Vol. 5, No.6

Eckert, R. and Schinkel, U. (2009). Liveable City TP. Ho Chi Minh - Adaptation as response to impacts of climate change. Proceedings REAL CORP 2009 Tagungsband 22-25 April 2009, Sitges.

Economist Intelligence unit (2012). „A Summary of the livability Ranking and Overview‟. Available online at www.eiu.com [Accessed on 22/12/13].

Field, A. (2009). Discovering Statistics using SPSS. Third Edition, SAGE Publication Ltd.

Henseler, J., Ringle, C.M. and Sinkovic, R.R (2009). The use of Partial Least Squares Path Modelling in International Marketing. Adv. Int. Market., 20: 277-319.

Heylen, K. (2006). Livability in social housing: three case-studies in Flanders. Residential Environments and People, ENHR Conference July 2006. Ljubljana, Slovenia.

Howley, P., Scott, M. and Redmond, D. (2009). Sustainability versus Livability: An Investigation of Neighbourhood Satisfaction, Journal of Environmental Planning and Management 52:6, 847-864.

Lawanson, T., Salau, T. and Yadua, O. (2013). Conceptualizing the Liveable African City. Journal of Construction Project Management and Innovation Vol. 3 (1): 573-588.

Leby, J. L. and Hashim, A. H. (2010). Livability Dimensions and Attributes: Their Relative Importance in the Eyes of Neighbourhood Residents, Journal of Construction in Developing Countries, Vol. 15(1).

Lee, Y. J. (2008). Subjective quality of life measurement in Taipei. Building and Environment, 43:1205-1215.

Li, C., Sun, L. and Jones, P. (2012). Livability of High-rise Housing Estates: A Resident-centred High-Rise Residential Environment Evaluation in Tianjin, China, 48th ISOCARP Congress 2012.

Lowe, M., Whitzman, C., Badland, H., Davern, M., Hes, D., Aye, L., Butterworth, I. and Giles-Corti, B. (2013). Liveable, healthy, sustainable: What are the key indicators for Melbourne neighbourhoods? Research Paper 1, Place, Health and Livability Research Program, University of Melbourne

http://mccaugheycentre.unimelb.edu.au/research/health_and_livability Accessed on 12 August 2017.

Marques, D., Pinheiro, M. R., Matos, A. P., and Marques, C. (2015). Confirmatory Factor Analysis of the QRI Father‟s Version in a Portuguese sample of adolescents. Procedia - Social and Behavioral Sciences 165.

Memon, A. H., Abdul Rahman, I., Abdul Aziz, A. A. and Nor Hazana, A. (2012). Using Structural Equation Modelling to Assess Effects of Construction Resource Related Factors on Cost Overrun. World Applied Sciences Journal 20 (Mathematical Applications in Engineering): 06-15.

Mohit, M. A. and Hannan, M. H. E. (2012). A Study of Crime Potentials in Taman Melati Terrace Housing in Kuala Lumpur: Issues and Challenges. Procedia - Social and Behavioral Sciences, 42:271 – 283.

Mueler, R.O. and Hancock, G.R. (2008). Best Practices in Structural Equation Modelling in J.W. Osborne (ed). Best Practices in Quantitative Methods. (London: Sage Publications).

Namazi-Rad, M., Perez, P., Berryman, M. and Lamy, F. (2012). An experimental determination of perceived livability in Sydney, ACSPRI Conferences, RC33 Eighth International Conference on Social Science Methodology Pp. 1-13.

Navabakhsh, M. and Motlaq, M. (2009). Effects of urban information and communication technology on sustainable development. Journal of Food, Agriculture & Environment Vol.7 (3&4):891-897.

Omuta, G.E.D. (1988). The Quality of Urban Life and The Perception of Livability: A Case Study of Neighbourhoods in Benin City, Nigeria, Social Indicators Research 20: 417- 440.

Ozo, A.O. (1990). Low Cost Urban Housing Strategies in Nigeria, Habitat International. Vol.14 No 1, 41-54.

Pacione, M. (2003). Urban environmental quality and human wellbeing-a social geographical perspective, Landscape and Urban Planning 65: 19-30.

Pallant, J. (2007). SPSS Survival Manual A Step by Step Guide to Data Analysis using SPSS for Windows third edition, Open University Press, McGraw-Hill Education, McGraw-Hill House.

Pandey, R.U., Garg, Y.G. and Bharat, A. (2014a). Quantitative Approach for Understanding Perspectives on Livability in India Context, International Journal on Emerging Technologies Volume 5, Issue: 1

Pandey, R.U., Garg, Y.G. and Bharat, A. (2014b). Understanding Qualitative Conceptions of Livability: An Indian Perspective. International Journal of Research in Engineering and Technology (IJRET), Volume 2, Issue: 12.

Ramlia, A., Akasahb, Z. A., Mohd Masirinc, M. I. (2014). Safety and Health Factors Influencing Performance of Malaysian Low-Cost Housing: Structural Equation Modelling (SEM) Approach. Procedia - Social and Behavioural Sciences 129, 475 – 482

Richard, S. (2007). The measurement of quality of life and its relationship with perceived health status in adolescents. Ph.D Thesis, Trinity Western University.

Safer, C.S., Koo Lee, B., Turner, S., (2000). A tale of three greenway trails: user perceptions related to quality of life. Landscape Urban Planning 49, 163–178.

Saitluanga, B. L. (2013). Spatial Pattern of Urban Livability in Himalayan Region: A Case of Aizawl City, India

Salleh, A. G. (2008). Neighbourhood factors in private low-cost housing in Malaysia. Habitat International 32:485-493

Sanford, E. (2013). What Is the Difference between Livability and Sustainability? Retrieved October 24, 2017, from Cambridge Systematics: http://www.camsys.com/kb_experts_livability.htm

Sanoff, H. and Sawhney, M. (1970). Residential Livability: A Study of User Attitudes towards their Residential. 1st Ann. Environ. Design Res. Assoc. Conf, 1970.

Satu, S. A. (2014). An examination of the livability of dense urban neighbourhoods in Dhaka: the impacts of urban planning. The University of Hong Kong.

Song, Y. (2011). „A Liveable City Study in China Using Structural Equation Models‟, Department of Statistics, Uppsala University.

Southworth, M. (2007). „Morphology of the Liveable City‟, In: Urban Forms and Metropolitan Spaces April 2-3 2007, Roma, Università degli Studi di Roma Sapienza, Facoltà di Ingegneria, Berkely.

Sule, A.I. and Mohit, A.M. (2015). Investigating the Application of CFA in the Livability Assessment of Public Low-income Housing in Nigeria. Journal of Architecture, Planning & Construction Management Vol. 5 issue 1.

Tabachnick, B.C., and Fidell, L.S. (2007). Using multivariate statistics (5th edition). Boston, MA: Pearson Education, Inc.

Timmer, V. and Seymour, N.K. (2006). „The Liveable City‟: The World Urban Forum 2006 –Vancouver Working Group Discussion Paper International Centre for Sustainable Cities.

Tomarken, A. J. and Waller, N. G. (2005). Structural Equation Modelling: Strengths, limitations, and Misconceptions. Annual Review of Clinical Psychology, 1, 31–65.

Van den Heuvel, N. (2013). A conceptual analysis of livability and the translation of livability into policy; A case study of Bogotá; livability as a guide for the policy of three mayors in the period from 1995 to 2007.

Van Dorst, M. (2012). „Livability‟, in Bueren EV et al (eds), Sustainable Urban Environments: An Ecosystem Approach, Springer, New York, 223-242.

VanZerr, M., and S. Seskin (2011). Recommendations Memo #2 Livability and Quality of Life Indicators.CH2M Hill, Portland.

Victoria, H. K., Kamariah M. (2014). A New Model of Green Purchase Intention and its Derivatives: Confirmatory Factor Analysis Validation of Constructs. Information Management and Business Review Vol. 6, No. 5

Woolcock, G. (2010). Measuring Up? Assessing the Livability of Australian Cities, Working Paper, Urban Research Program Griffith University - Nathan

Yuet, F. K. C., Yusof, H. and Mohamad, I. (2014). Confirmatory Factor Analysis of the Niche-Malaysian Teacher Leadership Measurement Model, International Journal for Innovation Education and Research, 2(07), 2014

Zhu, Q., Sarkis, J., Lai, K.-H. (2008). Confirmation of a measurement model for green supply chain management practices implementation. International Journal of Production Economics 111 (2), 261–273

DOI: https://doi.org/10.11113/ijbes.v5.n1.245


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