Utilizing Path Finding Algorithm for Secured Path Identification in Situational Crime Prevention
Keywords:Analytical Hierarchy Process, Chess Game, Path-Finding, Situational Crime Prevention,
AbstractCrimes could happen anywhere and at any time. Most crimes happen when there exist opportunity for crimes to take place. Such crimes are categorized as situational crime. In this study, we are interested in this type of crimes because it focuses on the settings and pattern of crime, rather than upon those committing criminal acts. Crime prevention can be referred to as attempts made to reduce and deter crime and criminals. It is applied specifically to efforts made by government authorities and agencies to reduce crime, enforce the law, and maintain criminal justice. In this research, we propose a hybrid model, known as PCAHP that combine path finding algorithm, chess strategy and Analytical Hierarchical Process (AHP) to handle uncertain situations when approaching crime prone areas. In this tactical path finder, considerations need to be given to various factors affecting the best decision on alternative paths in order to avoid the risks of becoming the victims of crime. A support system adopting the PCAHP model will be developed to calculate the weights of the criteria for evaluating each crime factors and suggesting the safest possible path. The expected result of this research is to come out with a support tool that could help the public especially the pedestrian in choosing the safest alternative path either when passing through a crime hotspot or faced with uncertain situations to prevent crimes. The tool should also help to create awareness to the public on the status of crimes in their neighborhood.
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