Assessment of the Effect of Night-time Lighting on Crime Incidence in University Campus Using GIS Technique

Authors

  • M. O. Idrees Department of Surveying and Geoinformatics, Faculty of Environmental Sciences, University of Ilorin, Nigeria.
  • M. O. Abisodun Department of Surveying and Geoinformatics, Faculty of Environmental Sciences, University of Abuja, Nigeria.
  • R. W. Mayowa Department of Urban and Regional Planning, Faculty of Environmental Sciences, University of Ilorin, Nigeria.
  • L. Ajibade Department of Geography and Environmental Management, Faculty of Social Sciences, University of Ilorin, Nigeria.

DOI:

https://doi.org/10.63746/njtd.v22i5.3158

Keywords:

Crime zones, Geographic Information System, Nighttime illumination, Streetlights

Abstract

In recent years, University campuses have grown more diverse throughout Nigeria; however, with attendant security challenges. This study investigates the relationship between crime and nighttime illumination in the University of Ilorin Campus using GIS techniques. Geospatial datasets including the road network, buildings, illumination sources (street lights), and location of historical crime spots were collected and converted into a geodatabase for analysis. First, average nearest neighborhood (ANN), point density (PD), and kernel density point analysis were applied to determine the distribution pattern and nighttime lighting intensity. Subsequently, by overlaying the crime spots data layer and nighttime illumination map, the relationship between them was determined using percentage of agreement statistics. Analysis of the spatial distribution of streetlights indicates a clustered pattern with an ANN value of 0.575 and a Z-score of -23.131. Also, statistical evaluation has shown that almost 70% of crimes occurred in poorly illuminated areas, under the cover of darkness. The findings highlight a critical intersection between public safety and urban planning at the University of Ilorin. By addressing the challenges posed by inadequate lighting through public power supply, the university can enhance security, foster a vibrant campus life, and reduce crime rates. Investing in reliable and sustainable lighting solutions promotes safety and contributes to the overall well-being of the campus community.

References

Aumüller, M., Bernhardsson, E., & Faithfull, A. (2020). ANN-Benchmarks: A benchmarking tool for approximate nearest neighbor algorithms. Information Systems, 87, 101374. https://doi.org/10.1016/j.is.2019.02.006

Badiora, A. I. (2017). Patterns of crime on campuses: a spatial analysis of crime and concerns for safety at a Nigerian university. Acta Criminologica: African Journal of Criminology & Victimology, 30(3), 180-200.

Balogun, N. A., Abdulrahaman, M. D., & Aka, K. (2024). Exploring the prevalence of internet crimes among undergraduate students in a Nigerian University: A case study of the University of Ilorin. Nigerian Journal of Technology, 43(1), 71-79.

Belsky, J. (2013). Differential susceptibility to environmental influences. International Journal of Child Care and Education Policy, 7, 15-31. https://doi.org/10.1007/2288-6729-7-2-15

Benchoufi, M., Matzner-Lober, E., Molinari, N., Jannot, A. S., & Soyer, P. (2020). Interobserver agreement issues in radiology. Diagnostic and interventional imaging, 101(10), 639-641. https://doi.org/10.1016/j.diii.2020.09.001

Boots, B. N., & Getls, A. (2020). Point pattern analysis. Regional Research Institute, West Virginia University, Bouchard Jr, T. J., & McGue, M. (2003). Genetic and environmental influences on human psychological differences. Journal of Neurobiology, 54(1), 4-45. https://doi.org/10.1002/neu.10160

Chatterton, P., & Hollands, R. (2002). Theorising urban playscapes: Producing, regulating and consuming youthful nightlife city spaces. Urban Studies, 39(1), 95–116. https://doi.org/10.1080/00420980220099096

Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588–608.

Duvvury, N., Callan, A., Carney, P., & Raghavendra, S. (2013). Intimate partner violence: Economic costs and implications for growth and development. https://hdl.handle.net/20.500.14041/3417

Ekpoh, U. I., Edet, A. O., & Ukpong, N. N. (2020). Security challenges in Universities: Implications for safe school environment. Journal of Educational and Social Research, 10(6),

Fan, Y., Chen, M., Chen, W., & Ke, J. (2024). Welcome to the Night: Nighttime Amenities, Travel to Consume, and Urban Economic Spillover. Travel to Consume, and Urban Economic Spillover. http://dx.doi.org/10.2139/ssrn.4990817

Fisher, B. S., & Sloan III, J. J. (2022). Campus Crime: Legal, Social and Policy Perspectives. Charles C Thomas Publisher Ltd, Illinois, USA. Fourth Edition.

Igbinedion, S. O., & Ebomoyi, I. (2017). Socio-economic determinants of crime: Further evidence from Nigeria. Annals of the University of Petro?ani, Economics, 17(1), 101-114.

Kamalov, F. (2020). Kernel density estimation-based sampling for imbalanced class distribution. Information Sciences, 512, 1192-1201. https://doi.org/10.1016/j.ins.2019.10.017

Kanthi, M., & Dilli, R. (2023). Smart streetlight system using mobile applications: secured fault detection and diagnosis with optimal powers. Wireless Networks, 29(5), 2015-2028. https://doi.org/10.1007/s11276-023-03278-9

MacDonald, J. (2015). Community design and crime: the impact of housing and the built environment. Crime and justice, 44(1), 333-383. https://doi.org/10.1086/681558

Ojo, A., & Ojewale, O. (2018). Urban crime in Nigeria: trends, costs, and policy considerations. Project Report. ICF International, London. https://repository.lincoln.ac.uk/ndownloader/files/42844387

Peng, C., Sun, W., & Zhang, X. (2022). Crime under the light? Examining the effects of nighttime lighting on crime in China. Land, 11(12), 2305. https://doi.org/10.3390/land11122305

Ramello, R. (2023). The impact of night-time economy districts on violence and perception of safety at night (Doctoral dissertation, Nottingham Trent University). ttps://irep.ntu.ac.uk/id/print/51155

Romice, O., Thwaites, K., Porta, S., Greaves, M., Barbour, G., & Pasino, P. (2017). Urban design and quality of life. Handbook of environmental psychology and quality of life research, 241-273. https://doi.org/10.1007/978-3-319-31416-7_14

Sanchi, I. D., Adamu, N., Ekenna, N. E., Simon, S. V., & Alhassan, Y. J. (2022). The Strengths, Weaknesses, and Prospects of University Education in Nigeria. A Critical Review. Global Educational Research Journal, 10(2): Pp, 011-022. ISSN-2360-7963

Sanidad-Leones, C. V. (2006). The current situation of crime associated with urbanization: problems experienced and countermeasures initiated in the Philippines. Resource Material Series, 68, 133-150.

Shuo, Z., Jingyu, Z., Zhengxiang, Z., & Jianjun, Z. (2021). Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics. Open Geosciences, 13(1), 796-806. https://doi.org/10.1515/geo-2020-0265

Suleiman, Y., Adeniyi, S. T., Kamal, O., Oluwaseun, L. S., & Abiodun, O. M. (2022). An Assessment of Students’ Enrolment Rate In University Of Ilorin, Nigeria from 2019-2021: Implications for Management. Journal of Educational Leadership in Action, 8(2), 4.

UNODC (2021). Comprehensive strategies for crime prevention towards social and economic development. 14th United Nations Congress on Crime Prevention and Criminal Justice, Kyoto, Japan, 7 – 12 March, 2021

Vovk, V. (2021). Testing randomness online. Statistical Science, 36(4), 595-611. https://doi.org/10.1214/20-STS817

Wang, W., Liu, L., & Yang, Y. (2022). Spatial matching analysis and development strategies of county night-time economy: a case of Anning county, Yunnan Province. Sustainability, 14(9), 4891. https://doi.org/10.3390/su14094891

Zhou, H., Liu, L., Lan, M., Yang, B., & Wang, Z. (2019). Assessing the impact of nightlight gradients on street robbery and burglary in Cincinnati of Ohio State, USA. Remote Sensing, 11(17), 1958. https://doi.org/10.3390/rs11171958

Published

2025-12-31

Similar Articles

<< < 3 4 5 6 7 8 9 10 11 12 13 14 15 16 > >> 

You may also start an advanced similarity search for this article.