Name
Title | ||
|---|---|---|
Predicting residential burglaries based on building elements and offender behavior: Study of a row house area in Seoul, Korea. |
Abstract | ||
|---|---|---|
Current methods for predicting residential burglaries mostly rely on analyses of crime patterns based on a real information. While this model is valid on an urban scale, it fails to consider street-scale environmental factors as well as offender behaviors in response to those factors. To improve the predictability of crime-simulation studies, this study investigated two influential factors in the occurrence of residential burglary: the physical properties of building elements and offender behaviors in response to those properties. First, a prediction algorithm was designed based on analyses of the factors. Next, a prediction method was established by modeling a virtual 3-D environment and a virtual offender using the algorithm. Lastly, the probability of residential burglary was analyzed via a simulation using the prediction method. A comparison of the simulation results with actual residential burglary data confirmed that the proposed method has statistically significant predictability. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compenvurbsys.2016.09.004 | Computers, Environment and Urban Systems |
Keywords | Field | DocType |
Residential burglary,Virtual agent-based modeling,Crime prediction,Environmental design,Offender behavior | Predictability,Simulation,Environmental design,Terraced house,Geography | Journal |
Volume | ISSN | Citations |
61 | 0198-9715 | 1 |
PageRank | References | Authors |
0.35 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoonseok Hwang | 1 | 1 | 0.69 |
| Sungwon Jung | 2 | 320 | 59.65 |
| Jaewook Lee | 3 | 735 | 50.24 |
| Yongwook Jeong | 4 | 10 | 1.05 |