| Abstract |
This study explores ways to improve the security systems of emerging smart cities by conducting a case study of the smart crime prevention service of the Incheon Free Economic Zone (IFEZ) in South Korea. Data from the IFEZ were collected between January 2017 and December 2018 across the smart system's four functional areas (intelligent video surveillance, suspicious vehicle surveillance, emergency alerts, and abnormal sound sources) and 10 types of situations (emergency, violence, civil complaints, intrusion, kidnapping, loitering, throwing, suspicious vehicle, collision explosion, and sudden event). Descriptive statistics were analyzed to show the limitation of the smart crime prevention service. The results revealed three significant insights into the best practices for smart crime prevention services in smart cities: first, smart crime prevention services are required to verify the accuracy and consistency of collected data; second, the government must establish a consistent process to link all crime prevention services and to secure data linkages; and third, the government must urgently foster and secure experts in specialized institutions to carry out these advised functions. Ultimately, these findings suggest that in-depth discussions of data collection and sharing are required to ensure the optimal development of smart city security services. |
