EXTENT TO WHICH GEOSPATIAL TECHNIQUES HAVE BEEN INTEGRATED IN POLICE RESPONSE STRATEGIES FOR CRIME PREVENTION IN NAIROBI CITY COUNTY, KENYA
Abstract
The objective of this study was to assess the extent to which geospatial techniques have been integrated in police response strategies for crime prevention in Nairobi City County, Kenya. The study was underpinned on the situational crime prevention theory. In this study descriptive survey research design was adopted and the methodology aimed at gathering information utilizing the questionnaires and in-depth interviews. The choice of Nairobi City County as the area of study was informed by accessibility of the essential infrastructure that Geospatial techniques innovation can ride on. One hundred and fifty-two police officers formed the sample size of the study from a target population of 755. Stratified purposive sampling was adopted for the study where each stratum consisted of relatively homogeneous sub group that was randomly selected to reduce biases. Both quantitative and qualitative data was collected. Quantitative data was analyzed through statistical program for social sciences (SPSS) for computation of statistical summaries. The qualitative data was in the first place arranged systematically into text format and then exported into a spreadsheet. As revealed by the results of the study, Service delivery in terms of efficiency in police crime response strategies have improved with application of geospatial techniques in crime prevention in Nairobi City County. In order to create harmony in in dissemination of crime data obtained through geospatial techniques the study recommended for a policy to guide the sharing and protecting the information from non-intended dissemination. The researcher recommended two studies that can be conducted in the future.
References
Boba.R. (2013). Crime Analysis withCrime Mapping. London: Sage Publication.
Bowers.K, Johnson.S, Guerette.R, S., & Poynton.S. (2011). Do Geographically Focussed Police Initiatives Displace Crime or Diffuse Benefits? A Systematic Review. Journal of Experimental Criminology , 7(4), 347-374.
Clarke.R. (1995). Situational Crime Prevention. Building a Safer Society: Strategic Approaches to Crime Prevention Vol.19, 99-150.
Deneef.U. (2014). Geo Spatial Analysis of Grave Crime in Trincomalee Police Division. Nugegoda, Sri Lanka: University of Sri Jayewardenepura.
Eman.K, Lukman.K, & Mesko.G. (2013). Crime Mapping for the Purpose of Policing in Slovenia - Recent Developments. Rev. za Kriminalistiko Kriminologijo Vol. 46 , No.3, 287-308.
Faqir.R. (2013). • The use of Technology of Global Positioning System (GPS) in Criminal Investigation & Right to Privacy under the Constitution and Criminal Legislations in Jordan : Legal Analysis Study. Revue Internationale de Droit penal Vol. 84, 433-462.
Groff.E. (2007). Simulation for Theory Testing and Experimentation: An Example Using Routine Activity Theory and Street Robbery. J Quant Criminol Vol.23, 75–103 .
Gupta.R. (2012). Crime analysis: GIS: A gateway to safe city. New Delhi: Geospatial World.
Jaishankar.K. (2009, January 09). Role of Global Positioning Systems (GPS) in Policing. Geospatial World.
Kannan.M, Rao.K, Raj.M, & Verma.A. (2017). Crime Mapping and Hot Spot Analysis Using Geopspacial Techniques: A Case of Ajmer City. Ajmer .
Kumar.P, & Somashekar.R. (2012). GIS Based Crime and Analysis: A case Study of Mudigiri Town Police Station Jurisdiction, Tumkur District, karnataka,India. Geographical Eye of Union Infomation Technologists Vol.1 No. 1.
Lee.D. (2010). Understanding and Applying Situational Crime Prevention Strategies. Criminal Justice Policy Review 21(3), 262-268.
Lega.M, Ferrara.C, Persechino.G, & Bishop.P. (2014). Remote Sensing in Environmental Police Investigations: Aerial Platforms and an Innovative Application of Thermography to Detect Several Illegal Activities. Geneva: Springer International Publishing.
Lwin.K, Hashimoto.M, & Murayama.Y. (2013). Real-Time Geospatial Data Collection and Visualization with Smartphone. Journal of Geographic Information System 6(02).
McEwen.T, Ahn.J, Pendleton.S, Webster.B, & Williams.G. (2004). Computer Aided Dispatch in Support of Community Policing ,Final Report. Alexandria,Virginia: Institute of Law and Justice.
Mswela.M. (2019). Tagging and Tracking of Persons with Albinism: A Reflection of Some Critical Human Rights and Ethical Issues Arising from the Use of the Global Positioning System (GPS) as Part of a Solution to Cracking Down on Violent Crimes Against Persons with Albinism. Potchefstroom Electronic Law Journal Vol.22 Issue No 1 .
Okeyo. (2021). Advancing Crime Prevention, Criminal Justice and the Rule of Law: Towards Achievement of the 2030 Agenda. COUNTRY STATEMENT OF THE REPUBLIC OF KENYA AT THE FOURTEENTH UNITED NATIONS CONGRESS ON CRIME PREVENTION AND CRIMINAL JUSTICE . Kyoto.
Olajuyigbe.A, Omole.K, Bayode.T, & Adenigba.A. (2016). Crime Mapping and Analysis in the Core Area of Akure,Nigeria. Journal of Remote Sensing & GIS.
Saravanakumar.S, & Revathy.S. (March 2016). Crime Mapping Analysis: A GIS Implementation in Madurai City. International Journal of science and Research(IJSR) Vol.5 issue.3, 1894-1897.
Sherman.L, & Eck.J. (2002). Police for Crime Prevention. In Sherman.L, Farrington.D, Welsh.B, & L. MacKenzie.D, Evidence-Based Crime Prevention . London: Routledge.
Smith.M, & Clarke.R. (2012). Situational Crime Prevention: Classifying Techniques Using "Good Enough" Theory . In Welsh.B, & Farrington.D, The Oxford Handbook of Crime Prevention (pp. 291-315). New York: Oxford University Press.
Stylianides.T. (2000). Crime Analysis and Decision Support in the Southafrican Police Service: Enhancing CapabilityWith the Aim of Preventing and Solving Crime. Pretoria: DACST Innovation Fund Project .
Townsley.M. (2017). Crime mapping and spatial analysis,. Crime Prev. 21st Century Insightful Approaches Crime Prev. Initiat., no. September, 101-112.
Wandera.N. (2021, April 27). Ten Sectors that can Leverage Drones to Spur Growth. The People's Daily.
Wang.N, & Yang.R. (2019). The Application of Chinese High Spatial Resolution Remote Sensing Satellite Image in Land Law Enforcement Information Extraction. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3, 2018 ISPRS TC III Mid-term Symposium “Developments, Technologies and Applications in Remote Sensing. Beijing.
Yelwa.S, & Bello.Y. (2012). Complementing GIS With Cluster Analysis in Assessing Property Crime in Katsina State, Nigeria. American International Journal of Contemporary Research Vol.2 No.7.
Zhang.Y, & Brown.D. (2013). Police Patrol Districting Method and Simulation Evaluation Using Agent-Based Model & GIS . Zhang and Brown Security Informatics, 2:7.