The influence of socio-enviromental design factors (SEDeF) of crime prevention on residential property values in Nigeria
The need to curb the soaring trend of residential neighbourhood crime considering its negative impact on the neighbourhood in general and property value in particular is seen not to be given the expected attention both in the academia and government setting. The consequences of residential neighbour...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2018
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| Online Access: | http://eprints.uthm.edu.my/246/1/24p%20OLAJIDE%20SUNDAY%20EMMANUEL.pdf http://eprints.uthm.edu.my/246/2/OLAJIDE%20SUNDAY%20EMMANUEL%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/246/3/OLAJIDE%20SUNDAY%20EMMANUEL%20WATERMARK.pdf |
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| Summary: | The need to curb the soaring trend of residential neighbourhood crime considering its negative impact on the neighbourhood in general and property value in particular is seen not to be given the expected attention both in the academia and government setting. The consequences of residential neighbourhood crime are found to be devastating. Hence, the purpose of this study is to propose Socio-Environmental Design Factors (SEDeF) model for residential neighbourhood crime toward improving property value in Nigeria. Purposive and systematic sampling techniques were adopted while logistic regression and Structural Equation Modeling (SEM) were used to analyse the data as well as to achieve the set objectives. The results of findings showed that social risk factors (poverty, unemployment, juvenile delinquecies, illiteracy and homelessness) and the environmental design factors (natural access control, surveillance, efficient maintenance, territorial functioning and target hardening) are capable of influencing residential neighbourhood crime in Nigeria. The results of the analysis find the set hypotheses to be significant. This is shown through the regression weights and p-values of the influence of the social risk factors and environmental design factors on residential neighbourhood crime to be 0.69 (0.000) and 0.14 (0.000) respectively. Also, the impact of residential neighbourhood crime on property value gives regression weight and p-value at 0.47 and 0.000 respectively. The model fitness is futher guaranteed by the R2 which stands at 52%. The interpretation of these results is that application of social development programmes to tackle the social risk factors as well as purposeful manipulation of the residential neighbourhood through design could go a long way to stem down neighbourhood crime thereby boosting property values. This research serves as awakening call to the Nigerian government, policy makers and researchers to tackle property crime in order to ensure housing sustainability and property value appreciation among others. |
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