Abstract
Crime mapping is a strategy used to detect and prevent crime in the police service. The technique involves the use of geographical maps to help crime analysts identify and profile crimes committed in different residential areas, as well as determining best methods of responding. The development of geographic information system (GIS) technologies and spatial analysis applications coupled with cloud computing have significantly improved the ability of crime analysts to perform this crime mapping function. The aim of this research is to automate the processes involved in crime mapping using spatial data. A baseline study was conducted to identify the challenges in the current crime mapping system used by the Zambia Police Service. The results show that 85.2% of the stations conduct crime mapping using physical geographical maps and pins placed on the map while 14.8% indicated that they don’t use any form of crime mapping technique. In addition, the study revealed that all stations that participated in the study collect and process the crime reports and statistics manually and keep the results in books and papers. The results of the baseline study were used to develop the business processes and a crime mapping model, this was implemented successfully. The proposed model includes a spatial data visualization of crime data based on Google map. The proposed model is based on the Cloud Architecture, Android Mobile Application, Web Application, Google Map API and Java programming language. A prototype was successfully developed and the test results of the proposed system show improved data visualization and reporting of crime data with reduced dependency on manual transactions. It also proved to be more effective than the current system.
Highlights
Challenges in preventing and reducing crimes are what most governments around the world are struggling to deal with, every family and business have been directly affected by different kinds of crimes like robberies, vandalism, burglaries, sexual and other crimes [1].Crimes affect the quality of life, economic growth, and reputation of a nation
The Zambia Police was established in 1891 under British South African Company known as Northern Rhodesia police force, and later in 1964 upon attainment of independence was established under Article 103 (3) of the constitution and under Article 193 (2) of the 2016 amended constitution of Zambia and under the Zambia Police amendment act number 30 of 2016 of the laws of Zambia, the name was changed from Northern Rhodesia to Zambia Police force which later in 1994 changed to Zambia police service
The main purpose of conducting the baseline study was to identify the challenges in the current crime mapping system used by the Zambia Police Service
Summary
Challenges in preventing and reducing crimes are what most governments around the world are struggling to deal with, every family and business have been directly affected by different kinds of crimes like robberies, vandalism, burglaries, sexual and other crimes [1].Crimes affect the quality of life, economic growth, and reputation of a nation. Article 193 (2) of the 2016 amended constitution clearly outlines the roles and functions of the Zambia police service, it mandates the agency to ensure protection of life and property, preservation of peace, maintenance of law and order, upholding bill of rights and most importantly detect and prevent crime [6].One of the key strategies used to detect and prevent crime is crime mapping. The technique involves the use of geographical maps to help crime analysts identify and profile crimes committed in different residential areas, as well as crafting best methods of responding [7]. It facilitates visual and statistical analysis of spatial crime data for a specific area by linking it with geographical variables like bars, schools, streets and others. The manual and paper based crime mapping system that is in place does not provide the needed efficiency and effectiveness to the management of crime maps and crime data
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
