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 not to be given the expected attention in academia and government settings. However, the consequences of residential neighbourhood crime are found to be devastating. Hence, this study proposes a 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) was used to analyse the data and achieve the set objectives. The findings showed that social risk factors (poverty, unemployment, juvenile delinquencies, 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 further guaranteed by the R 2, which stands at 52%. The interpretation of these results is that applying social development programmes to tackle the social risk factors and purposeful manipulation of the residential neighbourhood through design could go a long way to decrease neighbourhood crime and boost property values. This research serves as an awakening call to the Nigerian government, policymakers, and researchers to tackle property crime to ensure housing sustainability and property value appreciation, among others.
Various illegal activities through roads' occupants pose many socio-economic and environmental challenges to residents living in and around city centres. Among these activities is street trading. Until date, street trading activities constitute one of unresolved challenges to motorists, pedestrians andresidents within central business districts (CBD) in Nigeria. This study aimed at examining implications of street trading activitieson the residents within CBD in Nigeria using Ado-Ekiti as the study area. The study utilized quantitative and qualitative methods in data collection. Quantitative method employed administration of 248 questionnaires. Interviews conducted among various stakeholders and personal observations were employed in Qualitative method. Out of 248 questionnaires, a total of 100 questionnaires were retrieved which represented 40.32 percent response rate. The analysis was based upon these 100 questionnaires with the use of descriptive and chi-square analysis. Qualitative aspect of the study employed content analysis. The study discovered environmental degradation, traffic congestion, overcrowding within the CBD and deplorable state of social amenities as the implications of street trading activities within the CBD. The authors are of the opinion that, policy measures that incorporate design of ultra-modern markets, motor parks and public enlightenment to the street traders may be of assistance to solve the problems of street trading activities within CBD in developing countries.
The study assessed students’ satisfaction with hostel accommodation in selected private universities in Ogun State, Nigeria. This was done by comparing the level of housing satisfaction of students residing in selected private universities’ hostels. The study utilized structured questionnaires to obtain primary data from students and university authorities in the two selected private universities in the study area. There were twenty two (22) hostels in the study area (15 hostels in Crescent University, Abeokuta and 7 hostels in Bells University of Technology, Ota). From these hostels, Five (5) hostels from Crescent University and three (3) hostels from Bells University of Technology was randomly selected. There were three hundred and eight (308) rooms in the eight (8) hostels selected. Simple random sampling was used to select thirty five percent (35%) of the rooms in the study area. Thus, the sample size was one hundred and eight rooms (108) (65 from Crescent University and 43 from Bells University). Data obtained were analyzed through the use of descriptive statistics such as frequency tabulation to assess the general levels of students’ housing satisfaction, and also the use of Relative Satisfaction Index (RSI) to determine the degree of students’ satisfaction with each of the housing components identified for the study. The results revealed that students in Bells University of Technology were more satisfied with their hostel accommodation compared to students of Crescent University (RSI = 4.22 and 3.65 respectively for Bells University of Technology, Ota and Crescent University, Abeokuta). The study indicated that the standard of housing components can significantly influence students’ satisfaction with their hostel accommodation. It is therefore pertinent that the university authorities should consider the provision of adequate and quality infrastructure when planning and designing students’ housing.
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