PROPOSED SOCIO-ENVIRONMENTAL DESIGN FACTORS (SEDeF) MODEL AS RESIDENTIAL NEIGHBOURHOOD CRIME PREVENTION STRATEGY IN NIGERIA.

Authors

  • Sunday Emmanuel Olajide Universiti Tun Hussein Onn Malaysia

DOI:

https://doi.org/10.14738/assrj.41.2593

Keywords:

Social Sciences

Abstract

Housing is considered essential human need as it is ranked next to food for obvious reasons like provision of living accommodation, investment opportunities, social and recreation services among others. However, its relevance to humanity is gradually being eroded as a result of the threat from residential neighbourhood crime in the form of burglary and theft, vandalism, incivilities and street crime, robbery and even violent crime. In Nigeria, it was found that the use of penal system (use of police, prison and courts) for crime control is prevalent which researchers have described to be grossly inadequate. Hence, the intention of this research is to empirically analyse the desirability of the proposed socio-environmental design factors (SEDeF) model as a more effective technique to curb residential neighbourhood crime in Nigeria. One Thousand (1000) sets of structured questionnaire were administered on the residents of residential estates within the South Western States of Nigeria out of which 467 were considered useable after  the data screening. Purposive and systematic sampling techniques were adopted while logistic regression was used to determine the impact of the various components of each factor. The results showed a significant probability of 0.0007 and 0.0025 for environmental design factors and social development factors respectively establishing the desirability of the model in residential neighbourhood crime prevention. The policy implication of this result is that if government can intensify effort in the use of social development factors (SDF) and environmental design factors (EDF), the soaring trend of residential neighbourhood crime would be curtailed.

Key words: Crime prevention; Logistic regression; Nigeria; Residential neighbourhood crime; SEDeF.

Author Biography

Sunday Emmanuel Olajide, Universiti Tun Hussein Onn Malaysia

DEPARTMENT OF REAL ESTATE

FACULTY OF TECHNOLOGY MANAGEMENT & BUSINESS

PHD RESEARCH ASSISTANT

References

References

Abdullah, A., Salleh, M. N. M., & Sakip, S. R. M. (2012). Fear of crime in gated and non-gated residential areas. Procedia-Social and Behavioral Sciences, 35, 63-69.

Agbola T. (1997) The Architecture of Fear: Urban Design and Construction Response to Urban Violence in Lagos, Nigeria. Research Report, IFRA, Nigeria. http://www.openedition.org/6540.

Agunbiade, M. E. (2012) Land Administration for Housing Production. Being unpublished PhD Thesis submitted to the University of Melbourne, Australia.

Archer, K. J., and Lemeshow. S. (2006) Goodness-of-fit test for a logistic regression model fitted using survey sample data. Stata Journal 6: 97–105.

Armitage, R. and Pascoe, T. (2016) Crime Prevention through Environmental Design. In: Handbook of Crime Prevention and Citizen Security For Latin America. Ediciones Didot, Arévalo. Download version http://eprints.hud.ac.uk/26948/

Clarke, R. V (1992). Situational Crime Prevention: Successful Case Studies. Security Journal 1:143-148

Clarke, R. V. (1980) "Situational" Crime Prevention: Theory and Practice. The British Journal of Criminology, 136-147.

Cleves, M. A., and A. Tosetto. (2000) Logistic regression when binary outcome is measured with uncertainty. Stata Technical Bulletin 55: 20–23. Reprinted in Stata Technical Bulletin Reprints, vol. 10, pp. 152–156. College Station, TX: Stata Press.

Cohen, M. A. (1990). A note on the cost of crime to

victims.Urban Studies, 27(1), 139-146.

Cozens. P. M. (2014) Think crime! Using evidence, theory and crime prevention through environmental design (CPTED) for planning safer cities.Praxis Education: Publishers for professionals.

Cozens, P., & Love, T. (2015) A review and current status of crime prevention through environmental design (CPTED). Journal of Planning Literature, 2015: 0885412215595440.

Crowe, T. D. (1991) Crime prevention through environmental design: Applications of architectural design and space management concepts. Revised by Lawrence J. Fennelly. Butterworth-Heinemann. First printed in 2000.

Cullen, J. B., & Levitt, S. D. (1999).Crime, urban flight, and the consequences for cities. Review of economics and statistics, 81(2): 159-169.

Dugan, L. (1999). The effect of criminal victimization on a household's moving decision*. Criminology, 37(4): 903-930.

Fabiyi, O. (2004) Gated Neighbourhoods and Privatization of urban security in Ibadan Metropolis. IFRA. www.book.openedition.org/ifra/474. : Accessed on 11th June, 2015.

Federal Republic of Nigeria (2014) Annual report of the Federal Office of Statistics.

Gibbons, S. (2004). The Costs of Urban Property Crime*.The Economic Journal, 114(499), F441-F463.

Grabosky P (1995) Burglary prevention. Trends & Issues in Crime and Criminal Justice no. 49. Canberra: Australian Institute of Criminology. http://www.aic.gov.au/documents/3 /5/D/%7B35D86CDD-F1C5-4F1B-BC85-378662CF6930%7Dti49.pdf.

Grattagliano, I., Signorile, C., Lisi, A., De Rinaldis, M. F., Montedoro, M. A., Aliquo, G., ... & Catanesi, R. (2015). Homeless Perpetrators and Victims of Crimes: Preliminary Findings of a Research in the Region of Puglia (Italy).International Journal of Criminology and Sociology, 4, 64.

Hastings, R. (2008) Achieving Crime Prevention: Reducing Crime and increasing Security in an inclusive Canada. Department of Criminology and Institute for the Prevention of Crime, University of Ottawa, Canada.

Hauck W. W. & Donner, A. (1977) Wald’s test as applied to hypotheses in logit analysis. Journal of the American Statistical Association 72: 851-853

Hosmer, D. W., & Lemeshow, S. (2000). Introduction to the logistic regression model. Applied Logistic Regression, Second Edition, 1-30.

Jargowsky, P. A. (1996) Beyond the street corner: The hidden diversity of high-poverty neighborhoods. Urban Geography, 17(7): 579-603.

Jennings, D. E. (1986) Judging inference adequacy in logistic Regression. Journal of the American Statistical Association 81: 471-476.

Marzbali, M. H., Abdullah, A., Razak, N. A., & Tilaki, M. J. M. (2012). Validating crime prevention through environmental design construct through checklist using structural equation modelling. International Journal of Law, Crime and Justice, 40(2), 82-99.

Massey, D. S. & Denton, N. A. (1993) American apartheid: Segregation and the making of the underclass.Cambridge, MA: Harvard University Press.

Moreto W. (2010) Risk factors of urban residential burglary. RTM Insights 4: 1–3.

Naroff, J. L., Hellman, D. & Skinner, D. (1980) Estimates of the impact of crime on property values. Growth and Change, 11(4) :24-30.

Ngutu, J. A (2014) The Influence of poverty on crime among the Abanyole of Emuhaya district, Western Kenya. IOSR Journal of Humanities and Social Science 19(4) Ver.VII : 108-142

Olufolabo, O. O., Akintande, O. J. and Ekum, M. I. (2015) Analysing the distribution of crimes in Oyo State (Nigeria) using Principal Component Analysis (PCA). IOSR Journal of Mathematics. Vol. 11 Issue 3 Pp. 90-96.

Onibokun, A. (2003). Poverty and insecurity in Anglophone West Africa.Security, crime and segregation in West African cities since the 19th century, IFRA publication, 175-182.

Pallant, J. (2011) SPSS Survival Manual. A step by step guide to data analysis using the SPSS program. Allen & Unwin, Australia. 4th Edition.

Pyke, S. W. & Sheridan, P. M. (1993) Logistic Regression Analysis of graduate student retention. The Canadian Journal of Higher Education. Vol. XXIII-2

Ratcliffe J (2001) Policing urban burglary. Trends & Issues in Crime and Criminal Justice no. 213. http://www.aic.gov.au/publications/current%20series/tandi/201-220/tandi 213. aspx,

Ross, A., Duckworth, K., Smith, D. J., Wyness, G., & Schoon, I. (2011). Prevention and Reduction: A review of strategies for intervening early to prevent or reduce youth crime and anti-social behaviour. Centre for Analysis of Youth Transitions, Department of Education.

Schwartz, A. E., Susin, S., & Voicu, I. (2003) Has falling crime driven New York City's real estate boom? Journal of Housing Research, 14(1): 101-136.

Sutton, A., Cherney, A., & White, R. (2013) Crime prevention: principles, perspectives and practices. Cambridge University Press.

The John Howard Society of Alberta (1995) Crime Prevention through Social Development: A Literature Review. Government Funded Research, www.johnhoward.ab.ca/ pub/pdf/C6.pdf, 1995. Accessed on 17th July 2015

Times International, London, November, 4, 1985.

Tita, G. E., Petras, T. L., & Greenbaum, R. T. (2006) Crime and residential choice: a neighborhood level analysis of the impact of crime on housing prices. Journal of Quantitative Criminology, 22(4): 299-317.

Waller, I., and Weiler, D. (1985) Crime prevention through social development: An overview with sources. Ottawa: Canadian Council on Social Development.

Van Dijk J & de Waard J. (1991) A two dimensional typology of crime prevention projects: With a bibliography. Criminal Justice Abstracts 23: 483–503.

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Published

2017-01-25

How to Cite

Olajide, S. E. (2017). PROPOSED SOCIO-ENVIRONMENTAL DESIGN FACTORS (SEDeF) MODEL AS RESIDENTIAL NEIGHBOURHOOD CRIME PREVENTION STRATEGY IN NIGERIA. Advances in Social Sciences Research Journal, 4(1). https://doi.org/10.14738/assrj.41.2593