Muneera Mogaemsh Alharbi


Saudi Arabia's criminal policies are hampered by a paucity of research findings, which generally guide decision-makers on the best course of action. Despite the availability of GIS datasets and modelling tools, crime analysis is an issue that receives little attention. This study used GIS data to map out hotspots in Jeddah, Saudi Arabia, in order to analyze shoplifting crime. The study also looked into whether population density and the proximity of stores to police stations have an impact on shoplifting crimes. These methods involve the use of proximity analyses and the Kernel Density Estimator (KDE). The results suggest that police stations are not evenly distributed throughout the city. Furthermore, in relation to the density and size of the people in Jeddah, especially in comparison to Western cities, the number of police stations is small. The KDE analysis shows the crime hotspots surrounding the city centre, which are higher in crime than the areas to the north and south. The results of this study can be used to improve decision-making in crime prevention and control in Saudi Arabia and elsewhere since they provide an understanding of the spatial patterns of crime with a special focus on shoplifting crime.


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GIS, shoplifting crime hotspots, population density, police, proximity

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Al-Thunayan Saud (2001). Establishing investment development units in all Saudi secretariats and municipalities, Middle East, University Press Medina

Barrantes, G. and Sandoval, L. (2009). Conceptual and statistical problems associated with the use of diversity indices in ecology. Revista de biología tropical, 57, 451-460.

Hirschfield, A., Brown, P., & Todd, P. (1995). GIS and the analysis of spatially-referenced crime data: Experiences in Merseyside, U.K., International Journal of Geographical Information Systems, 9:2, 191-210, DOI: 10.1080/02693799508902033

Hirschfield, A., Bowers, K.J. & Brown, P.J.B. (1995). Exploring relations between crime and disadvantage on Merseyside. Eur J Crim Policy Res 3, 93–112

Kalinic, M., Krisp, J. M. (2018). Kernel Density Estimation (KDE) vs. Hot-Spot Analysis - Detecting Criminal Hot Spots in the City of San Francisco. AGILE 2018 – Lund, June 12-15.

Shaw, C. R., & McKay, H. D. (1942). Juvenile delinquency and urban areas. University of Chicago Press

Williams, L. (2016) (eds), Crime Against Businesses: Findings From the 2015 Commercial Victimisation Survey, Statistical Bulletin 03/16, London: Home Office

Williams, M. L.; Pearson, O. Hate Crime and Bullying in the Age of Social Media. 2016. Available online: (accessed on 18 January 2019)


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