• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.4
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• pp.44-52
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• 2001

This study performed factor analysis for 21 independent variables related to the effect of illumination and suggested the effect by multiple regression analysis on the relationship between the effect of illumination and the satisfaction of use of a dependent variable to find the effect of illumination in urban parks at night and the effect of illumination on the satisfaction of use. The results of this study are as follows; 1) Of the 21 independent variables used to study the effect of illumination in urban parks at night, the impact on safety and possibility of crime was highly. The effects of illumination by factor analysis were abstracted as effects of removing anxiety, securing safety, increasing use. 2) As a result of multiple regression analysis, independent variables influencing satisfaction of use in urban park were proved as effects of removing anxiety, securing safety, increasing identity, preparing atmosphere and increasing use. Also, the effect of securing safety was the most important factor; it showed a level of importance 2 times higher than the effect of removing anxiety, and 7.7 times higher than the effect of preparing atmosphere in relative contribution of the effect of illumination to satisfaction of use. 3) Of the effects of illumination influencing satisfaction of use in urban parks, the effect of securing safety and the effect of increasing visibility were more significant than the effects of removing anxiety, preparing atmosphere and increasing use. This fact means that personal safety an the identity of persons or facilities in the space of use should be considered with priority in planning or designing illumination. Also, it implies hat, for night use in urban parks, lightness of the space is required for general safety of use at parks, and proper illuminance on the activity in the space of use should be required. The subject parks of this study are 8 urban neighborhood parks. The model on the effect of illumination and the satisfaction of use depends on characteristics and conditions of location of he park and user class, so the subject parks and persons should be varied, and the difference by sex or ages should be suggested.

• Fire Science and Engineering
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• v.33 no.4
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• pp.163-174
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• 2019

This study examined the current situation of the problem and to suggest an improvement plan for the general public officers who are currently working as the Special Judicial Police for Disaster Safety in Gyeonggi-do and Kangwon-do provinces. The disaster safety special judicial police have the expertise of the investigative environment and human factors. The present situation of the operation was analyzed, and the problems, improvement plan, and activation plan of the system were derived. To cope with crime prevention, which is complicated and diversified progressively, this paper proposed the direction of reestablishing disaster safety special judicial police personnel for disaster safety.

• Journal of Korean Society of Disaster and Security
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• v.15 no.2
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• pp.1-12
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• 2022

Based on major safety-related statistics of cities, provinces, counties, and districts across the country, social disasters manage regional safety index ratings in six areas(traffic accidents, fires, crime, life safety, suicide, and infectious diseases), and natural disasters operate a management system. The current application of the regional safety assessment of natural disasters is very insufficient to evaluate the local risk of natural disasters up to the Eup, Myeon, and Dong level, and it is marked too engineering and difficult for the general public to use. The purpose of this study is to present Korea's natural disaster local risk assessment as an improvement model that extends to the sub-unit of Eup, Myeon, and Dong, using the local risk assessment model mixed with natural and social disasters.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.4
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• pp.135-142
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• 2014

As interest in social safety has recently increased at the national level, the various activities which can effectively prevent crimes are being carried out. Because the existing maps related to crimes provide the information about the present condition of crimes by administrative district for users, women and pedestrians who go by night could not actually grasp safe roads in advance. Therefore, this study developed the methodology that can easily extract dangerous areas due to crimes by the digital map 2.0. In the digital map 2.0, location and attribute information of center-lines of roads and building layers were used to find dangerous areas of crimes in these layers. Pavement materials and road width which are already built by the attribute information were used in the center-lines of roads. Crossing angles that roads and roads cross each other were additionally extracted and utilized. The attribute information about building types were input in the building layers of the digital map 2.0. The areas that are more the threshold values set by totaling up all the risk scores when considering pavement materials, road width, crossing angles of road, and building types in the center-lines of roads and road crossings were extracted as the dangerous areas that crimes can occur. Verification of the developed methodology was done by experiment. In the spatial apsect, the dangerous areas of crimes could be found by using the digital 2.0, roads, and building layers only through the experiment. In the administrative aspect to prevent crimes, additional installation of safety facilities such as street lights and security lights in the identified areas which are vulnerable for crimes is thought to be increasing safety of dangerous areas.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.715-723
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• 2013

Following the social consensus for the need to stop sexual violence, the government has amended juvenile sex protection laws to impose fees on education practitioners who do not report sexual crimes against women, and amended the 'domestic violence prevention and victim protection laws' (2012. 2) so that the police can investigate on site. However, regardless of these wide efforts, the reality is that sexual crimes against the socially weak do not seem to be dwindling, raising concerns of the effectiveness of such amendments. Generally sexual crimes are hard to prove, and even if reports are filed, most cases are dropped with non-prosecution disposition. Victims are usually limited to women and children and this leads to secondary victims. As this thesis states, developed countries have a more systematic protection methods than our country. Therefore, the purpose of this thesis lies on the construction of public safety infrastructure for the protection of sexual abuse victims (enhancing safety protocols with related organizations, implementing a bill of rights for the victims, prevention-centered police education, amendments to current law) to limit human rights violations and criminal injuries.

• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.201-212
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• 2016

This study is a literature study aimed to derive the evaluation factors for the survey of housing satisfaction of the physically handicapped. To attain the objective, the present study compared the influential factors of housing satisfaction for normal people and those for the physically handicapped found in the precedent researches, and analyzed them to draw out the evaluation factors for housing satisfaction of the physically handicapped. And then it drew out sub-factors and elements for the housing satisfaction of the physically handicapped. The evaluation factors for housing satisfaction of the physically handicapped are divided mainly into physical, social-psychological and economic factors. First, physical factor consists of 'functionality (usability)', 'safety', 'convenience', 'comfort', 'aesthetics', 'accessibility (mobility)', 'identifiability (recognition)'. Of them, 'functionality (usability)' factor consists of 3 sub-factors and 8 elements. 'Safety' was subdivided into securing safety and public order/crime prevention. and structural safety, and 7 elements were drawn out from 'safety'. 'Convenience' is sub-categorized into convenient usage and simple operation, and 9 elements were derived. 'Comfort' was classified into 2 sub-factors and 9 elements. 'Aesthetics' was classified into 2 sub-factors and elements. 'Accessibility (mobility)' was divided into 2 sub-factors and elements. 'Identifiability (recognition)' was classified into 2 sub-factors and 5 elements. Second, social-psychological factor includes 'sociality' and 'independence' factor. One sub-factor and one element were drawn from each of both factors. Third, 'economic factor' consists of 'economy'. One sub-factor and elements were drawn out from the factor. It is expected that the 10 evaluation factors, their sub-factors and elements that have been derived from this study can be used as the basic data and/or reference in designing residential space for the physically handicapped and making policy for it after verifying them in following studies. The present study finds itself significance in that the findings here can ultimately improve the housing welfare and life quality of the physically handicapped.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.8
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• pp.393-400
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• 2016

Recently, there have been various researches on efficient and automatic analysis on urban environment methods that utilize the computer vision and machine learning technology. Among many new analyses, urban safety analysis has received a major attention. In order to predict more accurately on safety score and reflect the human visual perception, it is necessary to consider the generic and local information that are most important to human perception. In this paper, we use Double-column Convolutional Neural network consisting of generic and local columns for the prediction of urban safety. The input of generic and local column used re-sized and random cropped images from original images, respectively. In addition, a new learning method is proposed to solve the problem of over-fitting in a particular column in the learning process. For the performance comparison of our Double-column Convolutional Neural Network, we compare two Support Vector Regression and three Convolutional Neural Network models using Root Mean Square Error and correlation analysis. Our experimental results demonstrate that our Double-column Convolutional Neural Network model show the best performance with Root Mean Square Error of 0.7432 and Pearson/Spearman correlation coefficient of 0.853/0.840.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.510-512
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• 2019

Recently, there have been growing requirements in the public safety sector to ensure safety through detection of hazardous situations or preemptive predictions. It is noteworthy that various sensor data can be analyzed and utilized as a result of mobile device's dissemination, and many advantages can be used in terms of safety and security. An effective modeling technique is needed to combine sensor data generated by smart-phones and wearable devices to analyze users' moving patterns and behavioral patterns, and to ensure public safety by fusing location-based crime risk data provided.

• Journal of the Korea Institute of Construction Safety
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• v.4 no.1
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• pp.9-15
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• 2021

Recently, buildings have become larger, more complex, and various construction methods have been tried. As a result, the use of construction equipment continues to increase, as well as safety accidents. According to the Ministry of Employment and Labor's report on industrial accidents, the rate of deaths caused by construction equipment among construction accidents has been increasing steadily since 2009. In the safety field of other industries such as crime and traffic, research has been continuously conducted to develop quantitative indicators due to demands for development of evaluation indicators or risk index development. On the other hand, construction equipment has been studied to analyze disaster cases and come up with improvement measures, but there is no research related to risk index. Therefore, the research will develop a quantitative index that can determine the risk level of construction equipment in the field based on the accident case and verify the possibility of use in the field.

• Journal of Korean Society of Disaster and Security
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• v.16 no.2
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• pp.1-13
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• 2023

As interest in urban safety has increased since COVID-19, various institutions have developed and used indicators that evaluate the safety city model. Yongsan-gu was ranked No. 1 in 2021 by Social Safety Index evaluation and was selected as the safest city in Korea. However, the Itaewon disaster in Yongsan-gu in 2022 caused many casualties. The study of indicators for evaluating cities' safety was necessary. This study aims to examine domestic and foreign safe city models and review the differences between each model and the indicators used to evaluate safe cities. As a result of collecting 11 safe city models and analyzing each evaluation index, safe city models can be classified into program-based safe city models, such as the World Health Organization's International safe community and the UN Office for Disaster Risk Reduction's International Safe city. Considering the diversification of threats to safety, it is reasonable to comprehensively consider digital security, health safety, infrastructure safety, personal safety, environmental safety, traffic safety, fire safety, crime safety, life safety, suicide, and infectious diseases when evaluating safe cities as evaluation parameters.