• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.21-29
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• 2015

The purpose of this paper was to investigate various factors influencing the intentions of drink-driving from multiple perspectives, in order to uncover ways to reduce the number of motor accidents caused by drink-driving. We examined sociopsychological aspects as well as driver's life styles such as smoking habit and exercise habit. Perception of behaviour controls among drink-driver' sociopsychological characteristics had the highest influence on the intentions of drink-driving, followed by influence of smoking and exercise on the intentions of drink-driving. This finding indicates that driver' life style such as smoking habit or exercise habit influences more on the intentions of drink-driving than attitude toward drink-driving or subjective regulations, which affirms that driver' life style such as smoking habit or exercise habit has significant effects on the intentions of drink-driving. Therefore, it is concluded that rehabilitative curriculum for drink-drivers should include a program to diminish drink-driving through nonsmoking and exercise habit.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.12
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• pp.5759-5779
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• 2017

As the main means to cope with the stubborn problem of drunk driving, the inspection of drunk driving has already been paid more attention and thus reinforced. In this paper, we model this scenario as a Stackelberg game, where the police department (called defender) allocates resources dynamically in terms of the traffic situation on the traffic network to arrest drink drivers and drivers who drink (called attacker), whether choosing drunk driving or designated driving service, expect to minimize their cost for given travel routes. However, with the number of resources are limited, our goal is to calculate the optimal resource allocation strategy for the defender. Therefore, first, we provide an effective approach (named OISDD) to fulfill our goal, i.e., generate the optimal strategy to inspect drunk driving. Second, we apply OISDD to directed graphs (which are abstracted from Dalian traffic network) to analyze and test its correctness and rationality. The experimental results show that OISDD is feasible and efficient.

• Journal of Sensor Science and Technology
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• v.23 no.5
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• pp.299-304
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• 2014

Optimizing the performance of a composite sensor array is necessary when the number of sensors to choose from is large. In this paper, we present a chemical sensors array optimization method using Wilks Lamda algorithm applicable a device to detect low concentration of alcohol from driver's exhale breath for interlocking engine ignition preventing drink-driving. More than 20 chemical sensors fabricated different synthetic stuffs and heater temperatures by collaborators were nominated, 5 sensors were selected for optimal sensors array using the method, and alcohol samples were well discriminated from the interference gases inside the vehicle. It has been confirmed by Principal Component Analysis (PCA).

• Korean Journal of Health Education and Promotion
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• v.14 no.2
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• pp.69-94
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• 1997

Recently, occurrence of alcohol-involved traffic accidents is increasing while all the accidents by violation of law except drunk driving. Traffic accidents by drunk driving has a great external cost. In detecting drunk driving, blood alcohol content Many studies reported close correlation between blood alcohol content and traffic accidents by drunk driving. The risk of traffic accidnet increases exponentially as blood alcohol content increases. To control traffic accidents by drunk driving, decide target population. Heavy drinkers are few and responsible for a small part of the loss while casual drinkers are many and responsible for a large part of the loss. Casual drinkers need to be included in the targer population for the control of traffic accident by drunk driving. Stragegies to reduce the quantity of alcohol consumed, change the pattern of drink, such as frequency of drinking, raise of perceived risk of accident need to be sought.

• Korean Journal of Culture and Social Issue
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• v.8 no.1
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• pp.17-40
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• 2002

The purpose of this study is to investigate the differences in the traffic environments and driving behaviors in 5 regions of Korea. Data were collected through the survey research from 1387 passenger car drivers in 14 locations in Korea. The main findings of this research are as followings: First of all, There were significant differences in traffic environment factors(road topography, construction, road & safety facilities, pedestrian behaviors, surrounding drivers) among 5 regional areas. When we examined drivers factors, there were significant differences among 5 metropolitan areas on wearing seat belt, most of constructions related to drink driving, speed-limit violation. There were many differences in driving habits, intentions, behaviors including wearing seat belt, driving after drinking according to metropolitan area, and also in case of speed-limit violation and careless driving behavior. These results suggested that there are many differences in traffic environments and driver's behaviors among regional areas. These result suggests that traffic safety policy and practice should be prepared based upon the peculiarities of regional area. We discussed these resulte in terms of the regional traffic policy and the suggestions for future studies were added.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.289-296
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• 2015

This convergence study was conducted to compare difference of risk behaviors and injury incidence between younger(under 65 years) and elderly(over 65 years). For this analysis we used law data of nation-wide community health survey data during August to October 2010. Data of drink-driving, seat belt use, injury incidence rate, type of injury, cause of injury were used for comparison. Seat belt use(85.16% vs 78.81%) was high but drink-driving(12.99% vs 13.24%) was low in elderly. Injury incidence was high especially in falls(1.07% vs 2.22%). In conclusion, elderly do less risk behaviors, but experienced much more injuries especially falls.

• Journal of Korean Society of Transportation
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• v.19 no.6
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• pp.33-47
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• 2001

본 연구는 운전자가 음주 후 운전여부를 결정할 때 가장 중요하게 고려하는 음주운전결정요인에 대해 탐색하고, 이들 요인들에 대해 음주운전자와 비 음주운전자 간 차이를 보이는지를 알아보는 것을 목적으로 한다. 이를 위하여 본 연구에서는 집단심층면접과 기존 문헌 고찰을 통해 얻은 음주운전에 영향을 미치는 인지적·사회심리적 요인들을 종합하여 설문지를 작성하였다. 전체 조사대상자는 음주운전 경험이 있는 운전자 136(남자 122명, 여자 13명)명이었다. 연구결과를 살펴보면, 우선 운전자들은 음주 후 운전여부를 결정할 때 1) 음주정도, 2) 음주 후 경과시간 정도, 그리고 3) 다음날 이동시의 불편함, 4) 집과의 거리 정도를 가장 중요하게 고려하는 것으로 나타났다. 다음으로 음주 후 운전여부를 결정할 때 중요하게 고려하는 요인들에 대해 음주운전자와 비 음주운전자 간 차이를 검증해 본 결과, 크게 세 가지 차원에서 차이를 보이고 있다. 첫째, '잘못된 신념'에 해당하는 요인들로 음주운전자들이 비 음주운전자들에 비해 음주단속에 걸리지 않을 것이라는 신념을 가지고 있으며, 음주단속과 교통사고 발생가능성을 낮게 평가하고, 자신의 운전실력을 과신하는 경향이 있다. 둘째, '목전단기이익 추구 경향성'에 해당하는 요인들로 음주운전자들이 비 음주운전자들보다 음주 후 차를 두고 갈 경우 야기되는 비용부담, 다음날 이동시의 불편함 그리고 집과의 거리 정도에 더욱 민감한 것으로 나타났다. 마지막으로 음주운전자들이 비 음주운전자들보다 마신 술의 양(음주량)에 대해 더욱 과소평가하는 것으로 나타났다. 본 연구는 이와 같은 연구결과들을 바탕으로 향후 음주운전에 대한 개선 방안을 함께 제시하고자 한다.

• Korean Journal of Health Education and Promotion
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• v.23 no.1
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• pp.45-61
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• 2006

Objective: Drinking drive is a nationally recognized social problem. This research aimed to describe the relationship between drinking behavior and drinking drive based on the social demographic characteristics. Methods: This paper used secondary data for analyses which was derived from the national representative samples of adults; National Health and Nutrition Surveys by Korea Institute for Health and Social Affairs in 1998 and 2001. For data analyses, univariate analysis, Chi-square test and logistic regression analysis were adopted for the samples of male adults who were driving and 20 years old and more. Results: The prevalence of drinking drive varied significantly among socio-demographic characteristics. The year prevalence rates of drinking drive were 29.1% in 1998 and 16.4% in 2001. In the rates of drinking drive, males were higher than those of females in both years. By age, twenties to thirties showed the highest ratio of drinking drive(odd ratio=18.8), compared with the sixties. Related to the occupation, the persons who were engaging in farming and fishery showed the highest ratio(odd ratio=3.73) of drinking drive in comparison to the unemployed. Conclusions: People who drink alcohol frequently tended to have more experiences of drinking drive. In addition, the drivers who drink more amount of alcohol drinking were significantly associated with higher rates of drinking drive, as well. Strategy based on the socio-demographic characteristics may provide a promising prevention of reducing drinking drive. Community-based efforts, education, self-awareness and public-awareness to address drinking and drinking drive problems are effective in reducing drinking drive. Enacting comprehensive regulations which control drinking drive can reduce both alcohol use and drinking drive.

• Journal of Sensor Science and Technology
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• v.24 no.4
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• pp.258-263
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• 2015

In order to prevent drink-driving by detecting concentration of alcohol from driver's exhale breath, twenty chemical sensors fabricated. The one of purposes for sensor array which consists of those sensors is to discriminate between target gas(alcohol) and interference gases($CH_3CH_2OH$, CO, NOx, Toluene, and Xylene). Wilks's lambda was presented to achieve above purpose and optimal sensors were selected using the method. In this paper, step-wise sensor elimination based on Euclidean distance was investigated for selecting optimal sensors and compared with a result of Wilks's lambda method. The selectivity and sensitivity of sensor array were used for comparing performance of sensor array as a result of two methods. The data acquired from selected sensor were analyzed by pattern analysis methods, principal component analysis and Sammon's mapping to analyze cluster tendency in the low space (2D). The sensor array by stepwise sensor elimination method had a better sensitivity and selectivity compared to a result of Wilks's lambda method.

• The Journal of Korean Physical Therapy
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• v.12 no.1
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• pp.87-99
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• 2000

A study was conducted in order to determine back pain experience status of elementary. junior and senior high school teachers and the factors affecting their knowledge of back pain and physical therapy from April 2 through June 30, 1999 in major big cities and small and medium towns. Questionnaires were sent to 924 teachers and the collected daa were analyzed. The results summarized are as follows ; 1. $46.3\%$ of the respondents had experienced back pain, and $47.0\%$ of females, $62.0\%$ of the people over 50years old, $57.4\%$ of junior high school teachers, $47.5%$ of teachers of art and physical education, $46.9\%$ of married persons, $47.8\%$ of the people living in medium or small towns, and $58.6\%$ of the persons whose economic status was low han experienced back pains, $58.9\%$ of respondents who were not healthy, and $49.3\%$ of those who did not drink alcohol, $47.9\%$ of nonsmokers, and $49.1\%$ of those who slept on ondol had experienced back pains. $76.7\%$ of the respondents got health information on back pains from health professionals. 2. An average level of the respondents en physical therapy was $14.95\pm8.32$ points out of 44 and it was 34 points when converted to 100. The knowledge levels of males,. elementary teachers, married persons, those teaching students far more than 20 hours a week, smokers, those who did not drink, those who exercised regularly, and those who had experienced back pains were higher than those in other groups. The knowledge level of those who had experienced back pain prevention education was $18.88\pm8.88$ points and the difference between those with experience and those without experience was statistically significant. The depression level of those who got 40 pome on back pains, and physical therapy was higher than other group(p<0.001). 3, Depression levels of teachers on back pains and physical therapy related knowledge was higher in those with back pains than those without back pains(p<0.01). 4. The factors affecting experience of back pains were back pain related age, economic status, health status, smoking, style of kitchen, sown of information on back pain, and back pain prevention education. (p<0.001), 5. The factors affecting the knowledge on physical therapy were general knowledge levels on back pains, position when tilling, and moving heavy stuffs, driving position, sources of information on back pain prevention, type of bed, age, and health status, and the explanation power of those factors was $45.2\%$.