This study focuses on improving methods to predict occurrence of residence burglaries.
Prediction algorithm was designed based on two influential factors.
Physical properties of buildings and offender response to them were considered.
In the simulation, a virtual offender evaluated each row house based on these factors.
The analysis of the probability of occurrence of residential burglaries was enabled.