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.
Highlights
The world is aggressively pursuing smart city policies to fundamentally solve urban problems connected with urbanization, such as those related to population concentration and energy use [1]
Cases regarding kidnapping, loitering, throwing, civil complaints, and collisions/explosions were very rarely collected. These findings suggest that while a variety of crime prevention situations were considered in building smart city security services and implemented in the system, many of the relevant features are not often used
Findings and Implications While the smart crime prevention service was initially equipped with artificial intelligence-based technologies, such as intelligent video analytics and abnormal sound source detection technologies, various limitations have surfaced from the perspective of technology sensitivity and malfunction, as previously mentioned
Summary
The world is aggressively pursuing smart city policies to fundamentally solve urban problems connected with urbanization, such as those related to population concentration and energy use [1]. Through the U-City project, Korea has made significant investments (eighty million dollars) in constructing and operating cities as early-stage smart cities As a result, it is time for a comprehensive review and analysis of the effectiveness of the development of smart cities in Korea to uncover best practices for new development directions. There has yet to be discussion, based on real data, of the actual performance of the security technology or the social benefits that may arise from it [9] Responding to this gap, this study used the Incheon Free Economic Zone (IFEZ) as a case study and analyzed the performance and limitations of the security investment in the U-City project. This study offers insights into the current state and limitations of security operations in the smart city, providing practical implications for smart city construction projects
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