교통문화지수 영향요인에 의한 유형화와 영향정도에 관한 연구

정철우(Cheol-Woo. Jeong),정헌영(Hun-Young. Jung),고상선(Sang-Seon. Ko) 한국항해항만학회 2006 한국항해항만학회지 Vol.30 No.1

본 연구는 교통안전공단과 사단법인 녹색교통운동이 공동으로 개발한 교통문화지수와 관련한 2002년과 2003년의 전국 81개 도시 자료를 토대로 통계적 분석을 행하여 이틀 대상도시들을 유형화하고 집단별 영향요언에 근거하여 교통사고 예방대책들을 제시하고자 하였다. 먼저 교통문화지수와 영향요인들에 대한 주성분분석 결과로는 4개의 주성분으로 구분 지을 수 있었으며,도시 특성별 최적 집단 수는 4개가 적합한 것으로 나타났다. 또한 이들 유형화된 집단별 교통문화지수에의 영향요인을 단계별 다중 회귀분석법을 이용하여 분석한 결과, 4개 집단 모두 높은 설명력을 갖는 회귀모형을 구축할 수 있었다. 이에 따라 각 집단별 교통사고 예방대책들을 구체적으로 제시할 수 있었으며, 아울러 투자된 시설이 얼마나 교통사고 예방에 효과적이었는가를 분석할 필요성이 있음을 향후의 연구 과제로 제시하였다. This study suggests strategies to prevent traffic accidents by utilizing impact factors per each cluster and the typical patterns of 81 cities based on the statistical analysis of the data concerning the TCl which was developed from the partnership of the Traffic Safety Authority and the Green Traffic Movement Corporation in 2002 and 2003. The Principal Component Analysis and Cluster Analysis on impact factors and Tel result in 4 components and 4 clusters. Also as the results of Stepwise Multiple Regression Analysis examining the relationship between impact factors and TCl, R2 values of these models show high to all clusters. According to the results, we suggest strategies to prevent traffic accidents per cluster concretely and it is necessary to analyze how effective the invested facilities are in reducing traffic accidents in the future.

교통사고 유발 범칙행위의 벌점 및 범칙금 분류 연구

정철우 ( Cheol Woo Jeong ),권기병 ( Ki Byeing Kweon ) 한국경찰법학회 2011 경찰법연구 Vol.9 No.2

The purpose of this study is to categorize penalty scores and fine based on a heavy dangerousness rate of traffic accidents. 137,995 traffic accidents data, with only one passenger in the vehicle, caused by 11 violation items during 2005-2009 were collected. They can be categorized to 3 penalty score groups and 5 fine groups followed in as current penalty rules through the K-Means cluster analysis method. The results were as follows. First, in penalty scores, 11violation items are categorized to 3 groups. Analysing result reveals that some items should be reclassified. Including signal violation, 7 items were up graded and using cell phone while driving was downgraded. In fine, including the passing the center line, 6 items were up graded, and using cell phone while driving was downgraded. Second, F test was conducted about the penalty score groups and fine groups respectively, there were significant differences between each groups. Third, a result of Spearman rank correlation analysis showed that there is very high correlations between penalty score groups and fine groups. As a whole, including the over speed(20-40km/h), 5 items were under estimated in the view of dangerousness, and using cell phones while driving is overestimated, so they should be assigned rationally than those of current. This study is expected to be a basic material to establish and to operate the traffic penalty score and fine policies.

음주운전자에 대한 집행유예의 재범 억지효과

정철우 ( Cheol Woo Jeong ),윤성철 ( Seong Cheol Yoon ) 한국경찰법학회 2013 경찰법연구 Vol.11 No.1

The purpose of this study is to suggest a basic materials in criminal policy making by analysing the effectiveness of probation to the DWI offenders. For this study, written investigation data of 32 drivers who had the experience of being sentenced probation and imprisonment for the DWI in a police station, Busan Province Metropolitan Police Agency, 2006-2007, were collected. To compare re-offense deterrence effectiveness of probation and imprisonment, three MOEs(Measurement Of Effectiveness)-observance duration, ACB(Alcohol Concentration in Blood), and driving distance-were used. This study conducted Kolmogorov-Smirnov test to compare deterrence effectiveness between probation and imprisonment. The result of this study showed that probation is more effective than imprisonment: a group of sentenced probation is longer in observance duration, lower ACB, shorter in driving distance than that of imprisoned. This study has some limitations. First, socioeconomic variables such as education level, marriage status, and economic condition were not controlled. Second, the number of sample is small. Nevertheless, this study made valuable contribution in that analysing the effectiveness of probation with empirical data and also the first attempted to use the new MOEs.

교통안전교육의 효과에 관한 연구

정철우 ( Cheol Woo Jeong ),조은순 ( Eun Soon Jo ) 한국경찰법학회 2010 경찰법연구 Vol.8 No.1

경찰관의 조직공정성 인식이 정서적 조직몰입에 미치는영향에 관한 연구

정철우(Jeong Cheol Woo),최낙범(Choi Nak Bum) 경찰대학 경찰학연구편집위원회 2013 경찰학연구 Vol.13 No.2

This study examined the effect of police officer’s perceived organization justice to affective commitment. A factor analysis was carried out and a survey with 303 police officers was conducted to test hypotheses. The results showed that police organization justice was consisted of three components, distributive justice, procedural justice, and interactional justice. Multiple regression analysis showed that all three components of organizational justice had a positive effect on affective commitment. Among three components, interactional justice had the strongest effect. Results of this study were partly consistent with those of McFarlin & Sweeney(1992), Lim & Yoon(1998), and Park & Kim(2003)’s studies. Policy implications of these findings were discussed in detail.

음주운전단속의 확실성 향상 연구 - 단속장소를 중심으로 -

정철우 ( Jeong Cheol-woo ) 한국도로교통공단 2012 교통안전연구 Vol.31 No.-

음주운전이 감소하지 않는 이유 중 하나는 단속의 확실성이 떨어지기 때문이다. 단속의 확실성을 높이기 위한 방법은 여러 가지가 있으나 본 연구에서는 음주운전 단속지점을 중심으로 단속의 확실성을 높이는 방법을 연구하였다. 본 연구를 위하여 음주운전으로 단속된 경험이 있는 운전자 134명을 대상으로 단속지점별 단속확실성의 정도를 설문조사하였다. 본 자료를 대상으로 F검정과 회귀분석을 실시하였다. 분석결과, 운전자들은 주택밀집지역과 주상복합지역이라는 거주형태를 띄는 지역에서 단속활동을 할 경우 단속나 단속의 확실성이 증가한다고 인식하고 있는 것으로 나타났다. 회귀분석결과 역시 동일한 결과가 도출되었다. 따라서, 음주운전 단속의 확실성을 증가시켜 음주운전 억제정책을 시행하기 위하여 단속지점을 주거형태를 많이 띄는 지역을 선정하면 효과가 있을 것으로 판단되었다.

교통범죄 처벌 엄격성의 교통법규준수효과 연구

정철우(Jeong Cheol Woo),최정호(Choi Jung Ho) 경찰대학 경찰학연구편집위원회 2012 경찰학연구 Vol.12 No.4

The purpose of this study was to provide basic materials for traffic safety policy by analysing the effectiveness of raising punishment severity to traffic law abidance. Data of 2205 drivers' behavior for 8 years, who have traffic law violation records were collected in Yong-In City, Gyongi province since 2003. For the analysis, a data mining method(CART) and Analysis of Covariance method were conducted. The results of this study were as follows. First, the result of CART analysis, the severity of punishment was a very important factor to the driver's traffic law violation. It is the first factor to the driver's violating traffic law than other factors. Second, the result of Analysis of Covariance shows that severer punishment sentenced drivers violated less than those of slighter sentenced. And it's effectiveness lasted for 8 years. The results of both CART analysis and Analysis of Covariance showed that a severer punishment to the traffic law violating drivers can reduce the violation traffic law. This study had two major limitations. First, socioeconomic variables such as education level, marriage status, and economic condition were not controlled. Second, the study area was constrained to only one city, which put restraint on generalization of the study results. Nevertheless, this study made valuable contributions in that the long-term and objective effect of raising punishment severity was proved using CART analysis and Analysis of Covariance.

최초 운전면허 취득자 교통교육의 교통사고 감소효과에 관한 연구

정철우(Jeong Cheol Woo),조은순(Jo Eun Soon) 경찰대학 경찰학연구편집위원회 2011 경찰학연구 Vol.11 No.2

The purpose of this study is to provide a basic materials in traffic safety policy making by analysing the effectiveness of traffic safety education. Data of 10,000 drivers's(5,000 drivers were educated and 5,000 were uneducated when they got the driver license, respectively) behavior and traffic accident records for 7 years were collected since 2003. To analysing the effectiveness of traffic safety education, analysis of covariance and logistic regression analysis were conducted. The results are as follows. First, there is effectiveness of traffic safety education in reducing traffic accident. Comparing the adjusted means as a result of covariance analysis, average traffic accidents of the educated drivers are more than those of uneducated. Second, comparing the odds ratio as a result of logistic regression analysis, the probabilities of traffic accident in uneducated drivers are 23.4% higher than those of educated. Third, both the results of covariance analysis and logistic regression are the same. Consequently, traffic safety educations to the first driving license acquisitors should be expanded.

동기부여정책의 교통안전 효과 연구

정철우 ( Jeong Cheol-woo ) 한국도로교통공단 2015 교통안전연구 Vol.34 No.-

본 연구는 교통안전을 위한 정책의 일환인 동기부여정책(면허특혜점수정책)의 효과를 분석하여 본 제도의 부족한 부분을 보완하기 위한 목적으로 수행되었다. 분석 대상 자료는 서울의 네 개 경찰서 관할에 거주하는 운전자 가운데에서 본 제도에 응한 운전자를 대상으로 본 제도의 효과를 분석하였다. 분석 결과, 본 제도가 가지고 있는 좋은 취지에도 불구하고 본 제도는 운전자의 교통안전에 도움이 되지 않았다. 본 제도에 신청한 운전자의 본 제도 시행 이전에 평균 교통사고 발생은 0.0070건 이었으나 본 제도에 시행 이후 평균 교통사고 발생은 0.0071건으로 다소 늘어나서, 본 제도가 운전자들의 운전태도를 변화시켜 교통사고 발생을 감소시키는 효과는 없는 것으로 나타났다. 다만, 본 제도의 좋은 취지를 살리기 위해서 교통정보의 지속적 제공이나, 교통안전교육을 지속적으로 시행하는 것이 필요할 것으로 생각되었다. The primary purpose of this study is to suggest new empirical material for traffic safety policies by analysing the effectiveness of ‘Privilege License Score’ as the one of incentive policies. For this study, data of 21,532 drivers who ask this policy in Seoul were collected. To analyse the effectiveness of ‘Privilege License Score’, the poisson and negative binominal analysis method was conducted. The result of this study showed that ‘Privilege License Score’ policy is not effective in changing the attitude of offenders. So this policy should be improved through continuous information providing or education for that let the drivers change their driving attitude. This study had a major limitations. Above all, socioeconomic variables such as education level, marriage status, and economic condition were not controlled. Future study will be expected continued by overcome these weakness.

고속도로 교통사고 주 원인의 영향요인에 관한 연구

정철우(Jeong Cheol Woo) 경찰대학 경찰학연구편집위원회 2007 경찰학연구 Vol.7 No.1

This study suggests the strategies to research the impactive factors about the major causes in freeway accidents by using binominal logistic regression analysis. The major causes are derived from Spearman's rank correlation coefficient: those are nap driving and over speed driving. To quantify the human, road, and environmental attributes which impact nap driving and over speed driving, we can developed the logistic regression model that classify better than that of basics. The 6th variables, the time of day, the distance of origin, weather condition, ages, horizontal line type, and vertical line type, are statistically significant to the nap and over speed driving. According to the result, we can fine the fact that the probability of nap driving are high at the nighttime, in long driving distance, at Friday, in the fine weather, in the left curve and sag sections, non-work zone and in female, aged drivers, and the probability of over speed driving are high in the weekday afternoon, adversed weather conditions, in the right curve with a turning radius below 500m sections, at the climbing grade over 3% sections, in the work zone and female, aged drivers. The result may used to develop the education program for the drivers causing accidents and to decide the criterion of premium insurance rates. It may also used to establish the standards of freeway design and that of law enforcement agencies activity.