A Study on the Construction of Crime Prevention System Using the Hadoop Model of Big Data- with Focus on Utilizing Big Data and CPTED Technology in Gimcheon-Si -

Abstract

The crime rate in Gimcheon through the analysis of big data in 2020 was 3933 cases in Gimcheon City in 2019, up 5.2% from 3740 cases in the previous year. If big data managed by the police is used as information sharing and cooperation among agencies through a common network to reflect it in various policies, it can prevent duplicate benefits if a crime prevention system can be established. Therefore, it is expected to help cover more policies to create a safe city, which could effectively be reflected in budget allocation for supporting safe city. And there is a need to conduct continuous management of and violence education with public institutions or private institutions. In this paper, the prediction model of big data collects basic crime data and Hadoop-based big data and applies the model with the best prediction accuracy by applying data preprocessing and characteristic engineering. The prediction algorithm constituting the prediction engine applies the deep learning RNN algorithm. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.