• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.4
• /
• pp.124-137
• /
• 2018

The main purpose of this study is to find the hotspots of crimes that occur frequently in the space and to derive the appropriate CCTV installation location. One of the characteristics of crime is clustered around past occurrence area, and these crimes are strongly correlated. It is also possible to find the cause of the clusters and the variables that affect the crime through the history of the crime. In addition to the traditional OLS model, spatial differential model including spatial autocorrelation and spatial error model were used to select the variables influencing the five major crime rate, the theft rate and the foreign resident rate. The variables affecting the Five major crimes were positive (+) sign for the welfare and the rate of the bar cluster rate, and negative (-) for the street density. The CCTV area occupies 46% of the hotspots based on the overlapping of the areas where the elderly people are crowded, the bar cluster, many multicultural families, and the areas with low density of street lamps. It turned out. Taking into account the current CCTV operation, the total number of new cases to cover the risk point was 89.

• Analytical Science and Technology
• /
• v.32 no.4
• /
• pp.155-162
• /
• 2019

Analysis techniques using DNA profiling are widely used in various fields including forensic science and new technologies such as the Direct PCR amplification method are being developed continuously in order to acquire the DNA profiles efficiently. However, it has a limits such as non-specific amplification according to the quality of crime scene evidence samples. Especially, split peaks caused by excessive DNA samples are one of the important factors that could cause the debate to allow researchers to interpret the DNA profile results. In this study, we confirmed the occurrence rate of split peaks in each STR (short tandem repeats) locus of the $GlobalFiler^{TM}$ kit and investigated the possibility of improving the split peaks using several PCR additives such as DMSO (dimethylsulfoxide), $MgCl_2$, Betaine and Tween-20. As a result, we could make three groups according to the occurrence rate of split peaks in Direct PCR and it was confirmed that the ratio of split peaks could be reduced by DMSO (87.4 %), $MgCl_2$ (84.5 %) and Betaine (86.1 %), respectively. These results indicate that PCR additives such as DMSO, $MgCl_2$ and Betaine can be improve the split peaks in Direct PCR and thereby facilitate subsequently a successful DNA profile results.

• Journal of Navigation and Port Research
• /
• v.36 no.6
• /
• pp.481-488
• /
• 2012

As an exploratory research to understand the nature of relationships between ports and their neighboring communities, this study analyzes how ports influence their residents' quality of life(QOL). The QOL was measured by 17 indicators reconstructed by reviewing relevant literatures. As a result, both Busan port and Dalian port were found to have statistically significant influence on many of QOL indicators including general expenditure per capita, number of manufacturing factories per capita, number of factories's laborer per capita, the rate of pavement, number of traffic accident per capita, rate of housing supply, number of financial agencies per capita, park area per capita, number of cultural assets per capita, the size of welfare expenditure per capita, number of fire occurrence per capita. And Busan port have statistically significant influence on QOL indicators including the rate of increase in population, number of public health industries per capita, number of public health industries per capita, number of schools per capita, number of sick-beds per capita, but Dalian port not have influence. Also Dalian port have statistically significant influence on number of crime occurrence per capita, but Busan port not have influence.

• Fire Science and Engineering
• /
• v.28 no.2
• /
• pp.69-75
• /
• 2014

This study derives the factors which affect the occurrence of arson from statistical data (population, economic, and social factors) by multiple regression analysis. Multiple regression analysis applies to 4 forms of functions, linear functions, semi-log functions, inverse log functions, and dual log functions. Also analysis respectively functions by using the stepwise progress which considered selection and deletion of the independent variable factors by each steps. In order to solve a problem of multiple regression analysis, autocorrelation and multicollinearity, Variance Inflation Factor (VIF) and the Durbin-Watson coefficient were considered. Through the analysis, the optimal model was determined by adjusted Rsquared which means statistical significance used determination, Adjusted R-squared of linear function is scored 0.935 (93.5%), the highest of the 4 forms of function, and so linear function is the optimal model in this study. Then interpretation to the optimal model is conducted. As a result of the analysis, the factors affecting the arson were resulted in lines, the incidence of crime (0.829), the general divorce rate (0.151), the financial autonomy rate (0.149), and the consumer price index (0.099).

• Journal of the Korean Association of Geographic Information Studies
• /
• v.25 no.1
• /
• pp.120-132
• /
• 2022

Recently, the rapid increase in vacant houses in urban areas has caused various problems such as worsening urban landscape, causing safety accidents, crime accidents, and hygiene problems. According to the Statistics Korea Future Population Estimation results, the growth rate of Korean population and households is expected to continue to decrease, which is likely to lead to an increase in the occurrence of vacant houses. If the problem caused by the occurrence of vacant houses is neglected, it causes not only a physical decline such as a deterioration of the residential environment but also a social and economic decline. In order to solve this problem, it is necessary to grasp the spatial distribution characteristics of vacant houses at the local level considering the existence of regional characteristics and spatial influence. Therefore, in this study, in order to measure global spatial autocorrelation, the analysis was conducted centering on the old downtown area of Busan, where there are many vacant houses through Moran's I and Geographically Weighted Regression(GWR). In addition, the distribution of vacant houses in different spatial units in Eup_Myeon_Dong and Census was analyzed to evaluate the possibility of Modifiable Areal Unit Problem(MAUP), which differ in the results of spatial analysis as the spatial analysis units change. As a result of the analysis, the occurrence of vacant houses by Eup_Myeon_Dong in the old downtown area of Busan had spatial heterogeneity, and the spatial analysis results of vacant houses were different as the spatial analysis units were different. Accordingly, in order to understand the exact distribution characteristics of vacant house occurrence, spatial dimensions using the GWR model should be considered, and it is suggested that consideration of the MAUP is necessary.

• Korean Journal of Forensic Psychology
• /
• v.12 no.1
• /
• pp.15-33
• /
• 2021

In this study, we analyzed the difference in survival rates of those subject to electronic supervision of sex crimes based on the tracking of the period of recidivism and whether they were recidivism, and wanted to confirm the ability of the criminal record to predict recidivism. The criteria for recidivism were defined as cases where a conviction was confirmed due to a criminal case that occurred during the execution of electronic monitoring, and the date of recidivism was the date of occurrence of a case that was confirmed guilty. A total of 122 re-offenders were used in the analysis, and all of them were charged with electronic supervision for committing sex crimes. Studies have confirmed that the subjects commit the most recidivism within three years. In addition, in this study, the difference in survival rate between groups was analyzed after classifying mixed and sex recidivism cases. The number of members was 88 for the mixed recidivism group and 34 for the sex recidivism group. The analysis confirmed that both groups had the most recidivism within three years. There was a slight difference between the survival rate of the mixed recidivism group and the survival rate of the sex recidivism group. So the Log Rank Test and the Generalized Wilcoxon Test were conducted, but no statistically significant differences were identified(Wilcoxon statistic = 2.326, df = 1, p = .13, Log Rank = 1.345, df = 1, p = .25). Next, a Cox Regression analysis was performed to confirm the ability of the criminal record to predict recidivism. As a result, the number of criminal records(sex offense, violent crime) have been confirmed to be a good predictor of recidivism(X²=27.33, df=1, p< .001). As a result, the recidivism rate is gradually decreasing due to the implementation of the electronic monitoring. However, the duration of recidivism required by sex offenders in high-risk groups was found to be rather short. Currently, security measures against felons are being strengthened, so it is necessary to select high-risk groups. Therefore, based on the related studies, the characteristics of high-risk groups and the results of recidivism studies will be used as a basis for disposal within the criminal justice system, which will play a major role in granting objectivity.