Crime Management Based on Data... Dong-A University Announces Research Results

The Emergency Response Technology Policy Research Center at Dong-A University published the results of the study titled "The Impact of Regional Characteristics of 16 Districts and Counties in Busan on the Occurrence of Five Major Crimes (Murder, Robbery, Sexual Crime, Theft, Violence)" in the academic journal National Governance Studies.

In this study, the Emergency Response Technology Policy Research Center at Dong-A University analyzed the number of occurrences of the five major crimes based on the "2018 Busan City Crime-Related Public Data."

The center revealed that the combination of causes for crime occurrence varies by district and county, indicating the need to manage crime vulnerability according to regional characteristics.

This study developed from a seminar titled "Busan Five Major Crimes Report: Focusing on Characteristics by District and Jurisdiction," which was jointly planned and conducted in 2020 by the Emergency Response Technology Policy Research Center and the Busan Ilbo Social Affairs Department.

Specifically, four combinations of causes influencing the occurrence of the five major crimes in Busan were identified. When these four cause combinations are synthesized, it was found that crimes frequently occur in areas where the level of surveillance (CCTV and mobility rate) is lax and where unspecified large groups can gather, such as commercial districts.

‘Cause Combinations Affecting the Occurrence of the Five Major Crimes in Busan’ Researched by Dong-A University Emergency Response Technology Policy Research Center.

The characteristics influencing the occurrence of the five major crimes include "areas with high per capita Gross Regional Domestic Product (GRDP), a low number of CCTVs, high mobility rates, and a low proportion of foreigners," and "areas with high per capita GRDP, low manufacturing ratios, few CCTVs, but high mobility."

Additionally, "areas with a large population, extensive commercial district areas, high mobility, but few CCTVs," and "areas with high per capita GRDP, severe income inequality, extensive commercial district areas, high mobility, but few CCTVs" were also found to have an impact.

The results of this study highlight the "need for data-driven crime vulnerability management."

Lee Dong-gyu, director of the Emergency Response Technology Policy Research Center, explained, "In fact, the city of Santa Cruz in the United States uses a crime prediction program (PredPol) developed jointly by the police authorities and a university. The program predicts the timing and location of crimes using data and deploys police officers in advance to prevent crime occurrence."

He added, "I hope this study will help develop smart policing administration tailored to regional characteristics."

Based on the results of this study, the Emergency Response Technology Policy Research Center at Dong-A University plans to explore research development plans to mechanically learn CCTV motion detection technology and abnormal behavior signs for "crime prediction technology" and to investigate the causality related to "crime occurrence reduction."

This content was produced with the assistance of AI translation services.