# Location Optimization of Emergency Bell Based on Coverage Analysis for Crime Prevention
## 5 Conclusions  
This study aimed to identify the optimal locations for emergency bells in the city of Gwangju by analyzing the crime data of the entire area. After analyzing the current situation, the optimal location for emergency bells was derived for all districts of the city. This study offers valuable insights for policymakers in their crime prevention efforts. The application of this research with on-site inspections not only aids in effective budget management but also contributes to enhanced crime prevention measures.  
This study provides a practical guide for effective crime prevention based on the actual cost of the commonly used emergency bell model (HB-112). It calculates the minimum required budget for installing emergency bells to cover all unmonitored crimes and the costs of installing 250, 500, 800, 1000, and 1500 emergency bells in each district. These findings contribute to a realistic approach towards crime prevention.  
In future research, it would be possible to conduct a study that provides meaningful indicators for crime-prone areas by establishing a more sophisticated basis for calculating weights. Additionally, machine learning could be used to derive optimal facility sites for high-risk areas based on cumulative crime incidents.  
Conceptualization, S.-W.L., B.-G.C. and H.-J.L.; methodology, S.-W.L., B.-G.C. and H.-J.L.; software, S.-W.L.; validation, S.-W.L. and H.-J.L.; formal analysis, S.-W.L.; investigation, S.-W.L.; resources, H.-J.L.; data curation, S.-W.L. and B.-G.C.; writing--original draft preparation, S.-W.L.; writing--review and editing, S.-W.L. and H.-J.L.; visualization, S.-W.L.; supervision, H.-J.L.; project administration, H.-J.L.; funding acquisition, H.-J.L. All authors have read and agreed to the published version of the manuscript.  
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (RS-2023-00242528). This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Innovative Human Resource Development for Local Intellectualization support program(IITP-2023-RS-2022-00156287) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation).  
Not applicable.  
The data presented in this study are available on request from the corresponding author. The data are not publicly available due to containing paid data.  
The authors declare no conflict of interest.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Model** & **District** & **Longitude** & **Latitude** & **Detailed Addresses** \\ \hline \multirow{5}{*}{EBLSCP} & Gwangsan & 126.7306 & 35.24077 & 289-9 Osan-dong \\  & North & 126.9091 & 35.258 & 571 Yonggang-dong \\  & West & 126.843 & 35.17561 & 5 Dongcheon-dong \\  & South & 126.9003 & 35.15336 & 43-28 Songha-dong \\  & East & 126.9164 & 35.16584 & 561-1 Sansu-dong \\  & Gwangsan & 126.839 & 35.22292 & 757-4 Wolgye-dong \\  & North & 126.8409 & 35.2789 & 1 Orvong-dong \\ \cline{1-1}  & West & 126.9031 & 35.14594 & 57-22 Wolsn-dong \\ \cline{1-1}  & South & 126.8644 & 35.17144 & 651 Dongcheon-dong \\ \cline{1-1}  & East & 126.9164 & 35.16584 & 518-91 Usan-dong \\ \hline \hline \end{tabular}
\end{table}
Table 7: Detailed addresses derived from EBLSCP and EBMCLP.