• Proceedings of the KOR-KST Conference
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• 1998.10b
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• pp.409-409
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• 1998

본 연구는 운전자 특성 및 교통사고 발생유형에 따른 사고 심각도(Severity)를 분석함으로써 교통사고를 유발키 쉬운 운전자 집단과 사고 발생시 위험도가 높은 사고유형을 규명하고자 하였다. 교통사고 위험집단 분석을 위한 운전자 특성은 성별, 차종, 연령 등을 대상으로 하였으며, 사고유형별 심각도 분석은 사고유형을 여덟 가지로 분류하고, 결과의 신뢰성 확보를 위하여 안전벨트 착용여부를 추가하여 상해정도와의 관계를 비교하였다. 로그-선형 모형 및 로짓 모형을 사용하여 카테고리 자료를 분석하였으며, 그 결과 위험집단 분석에서는 '20세 미만의 이륜차 운전자', '41세에서 50세까지의 택시운전자'가 가장 위험한 것으로, 또한 남자보다는 여자가 승용차, 택시, 이륜차 등에 관계되었을 때 위험한 것으로 조사되었다. 사고유형과 심각도와의 관계에서는 정면충돌 사고와 앞지르기 시 우회전시 사고가 기여위험도(Odds Multiplier)가 매우 높아 부상 또는 사망사고와 연계될 가능성이 큰 것으로 나타났다. 따라서 교통사고의 예방과 사고발생시의 심각도 경감을 위해서는 교통사고 취약계층으로 분석된 위험집단에 대한 교통안전 교육 및 홍보가 강화되어야 하고, 정면충돌 사고와 앞지르기 시 우회전시 발생하는 사고를 줄일 수 있는 방안이 연구되어야 할 것이다.

• Journal of Korean Society of Transportation
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• v.19 no.1
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• pp.139-148
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• 2001

본 연구는 교통사고 야기 자들의 운전정밀적성검사기록과 해당 교통사고기록을 비교하여 특정 운전적성상의 결손이 교통사고와 특정유형의 교통사고에 미치는 영향을 계량적으로 분석하는 것을 목적으로 하였다. 본 연구를 위하여 우리나라에서 가장 빈발하는 인적요인에 의한 교통사고 유형 중에서 교통상충이 빈발하는 지점에서 발생하는 차-대-차 사고를 조사분석대상으로 삼았다. 이와 같이 분석대상사고를 선정한 이유는 교통상충이 교통사고로 발전하는 과정에서 사고 제1당사자의 운전적성의 역할을 파악하고자하는 목적에서이다. 따라서 본 연구의 대상이 되는 교통사고 유형을 1. 교차로 진입부에서의 추돌사고, 2. 교차로내 충추돌사고, 3. 단일로상의 추돌사고로 선정하였다. 판별력이 의문시되는 4개 항목을 제외한 조사분석결과에서 하나의 항목을 제외하고 사고 야기자와 일반인의 운전적성상에 통계적으로 분명한 차이가 있으며 각 항목의 결손자 집단에서의 사고자 비율이 일반운전자 집단에 비해 교통사고를 경험한 확률이 2배 내지 4배 가량 높았다. 또한 특정 유형 사고 야기자와 사고 야기자 전체, 일반운전자 집단간 비교에서도 항목별 결손율이 분명한 다른 형태를 갖고 있다는 사실을 확인했으며, 특정유형의 결손(조합)자 집합에서 특정 교통사고 유형을 야기시켰을 확률이 일반인 집단에 비해 많게는 13배 적게는 3, 4배 정도 높다고 추정되었다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.841-851
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• 2019

This study presents risk ranking by accident types at intersections, crosswalk and tunnel sections. An ordered logit model was used to estimate the accident severity of traffic accidents based on 58,868 accident records that have occurred on the Seoul and Gyeonggi-do over the period 2014-2017. The factors affecting the injury severity were identified by the estimated model first, and risk ranking was proposed according to conditions of accident occurrence using relative ratio analysis later. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. Furthermore, there are severe injury cases in terms of the injury severity despite the small number of occurrence of traffic accident, or there are severe injury cases in terms of the injury severity despite the high frequency of occurrence of traffic accident.

• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.143-153
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• 2002

본 연구는 교통사고의 발생원인에 대한 인식유형과 감소대책에 대한 인지 유형별 영향요인의 정도를 분석하기 위하여 수량화이론 II류와 CHAID 분석법을 이용하여 분류모델과 판별모델을 구축하였다. 수량화이론 II류에 의한 교통사고 발생원인에 대한 인식 유형별 영향요인 판별모델은 전체 적중률이 78.4%로 매우 높게 나타났다. 편상관계수는 설명변수의 항목 중 학력, 성별, 운전경력 년 수, 소유 차종의 순으로 영향을 미치고 외적 변수인 교통사고 발생원인에 대한 유형에서는 기여 정도가 교통단속 부재 > 교통체계 미비 > 승용차 과다 사용 >잘못된 의식 때문의 순으로 나타났다. 교통사고 감소 대책에 대한 인지유형별 영향요인 판별모델은 전체 적중률이 59.9%로 높게 나타났으며, 편상관 계수는 학력, 성별, 운전경력 연수, 연령의 순으로 영향을 미치고 있고, 외적 변수인 교통사고 감소 대책에 대한 유형에서는 기여 정도가 교통단속 강화 > 대중교통수단 이용 유도 > 교통체계 개선 > 의식 개혁의 순으로 나타났다. 또한 CHAID 분석법에 의한 교통사고 발생원인에 대한 인식 유형별 영향요인 분류모델에 있어서는 예측변수로 학력, 연령, 성별, 통행수단의 네 가지 변수가, 교통사고의 감소 대책에 대한인지 유형별 영향요인 분류모델에 있어서는 학력, 운전경력 연수, 성별 그리고 통행수단의 네 가지 변수가 카이제곱 통계량 이 5%의 유의수준에서 유의한 것으로 판단되었다. 교통사고 발생원인 인식과 감소 대책의 인지 유형에 대한 빈도분석과 교차분석은 의식과 관련한 유형이 가장 높게 나타났으나 판별.분류모델에서는 교통단속과 관련한 유형이 기여 정도가 높고 의식 관련 유형이 상대적으로 낮게 나타나는 등 반대양상을 보이고 있어 심리적으로 내재되어 있고 표면에 잘 드러나지 않았던 의식 수준의 낮음이 분류모델을 통해서 명확하게 드러났다.

• Journal of Elementary Mathematics Education in Korea
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• v.14 no.3
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• pp.681-700
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• 2010

These days, the importance of the mathematics interaction is strongly emphasized, which leads to the need of research on how the interaction is being practiced in the math class and what can be the desirable interaction in terms of mathematical thinking. To figure out the correlation between the mathematical interaction patterns and mathematical thinking, it also classifies mathematical thinking levels into the phases of recognizing, building-with and constructing. we can say that there are all of three patterns of the mathematics interactions in the class, and although it seems that the funnel pattern is contributing to active interaction between the students and teachers, it has few positive effects regarding mathematical thinking. In other words, what we need is not the frequency of the interaction but the mathematics interaction that improves students' mathematical thinking. Therefore, we can conclude that it is the focus pattern that is desirable mathematics interaction in the class in the view of mathematical thinking.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.133-140
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• 2006

This paper suggests to reclassify railroad accident types and to standardize them as the standardized code for the railroad safety management system. The existing railroad accident types in both domestic and foreign cases have been carefully analyzed in the beginning. Based on the case studies, the new railroad accident types are classified into 9 classes which are not overlapped one another and 9 classes have been subdivided into 40 different accident patterns. All these patterns are linked with 9 different accident objects and 6 accident locations. Therefore, this study suggested the combination of 4 distinct code factors: accident class, accident pattern, accident object, and accident location to standardize them. In addition, inter-operation between the proposed codes and the existing accident types is suggested. This code will play a major role in the railroad safety management system composed of accident prevention, accident preparedness, accident response, and accident recovery.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.2
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• pp.137-152
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• 2007

This paper aims to clarify the types of cities by automobile traffic accidents and to search the characteristics of automobile traffic accidents for each type. Cities by automobile traffic accidents are classified into 4 types. Seoul city belongs to Type A in which 'automobile use and accident type' is closely related. Osan city belongs to Type B where the number of automobile traffic accidents is the greatest. And many satellite cities of Seoul city and metropolitan cities, and cities distributed in Southeastern industrial region belongs to Type C in which automobile accidents are fewer than the national average. Other 57 cities belongs to Type D which there are more automobile accidents than the national average. The cause of traffic accidents for each city type are as follows. In Seoul city the major causes of accidents are no security of safety distance, road patterns of other region, and injury of pedestrians. In Osan city, many single lane road accidents, central line invasion, and traffic accidents of children of under 14 years. And in satellite cities of Seoul city and metropolitan cities, and cities distributed in Southeastern industrial region, the major causes are traffic regulation violation, of under 6m in crossroad accidents, accident of children of under 14 years, and injury of pedestrians. Lastly, in other 57 cities chief causes are traffic regulation violation, wrong methods of passing crossroads, injury of children of under 14 and elderly of over 61 years, and injury of pedestrians.

• Journal of Korean Society of Transportation
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• v.27 no.3
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• pp.17-28
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• 2009

To analyze the risk according to accident types by novice and experienced drivers, it is used the accidents data which occurred for 2 years(2005~2006) in Korea. It is defined that novice driver is a people who is not passed 1 year after getting a driving licence and experienced driver is a people who is passed 1 year in this study. It is used a risk model to compare and analyze about the risk between two groups. The risk model is developed to apply together two variables which is accidents frequency and severity. Then it is used a conceptual weight to find that proper rate between accident frequency and fatal accident frequency. It is found a weight($\omega=0.6$) to suitable value to apply a risk model. The results showed that collision with obstacles, angle collision($90^{\circ}$) types to novice driver group have bigger risk than experienced driver group.

• Journal of Korean Society of Transportation
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• v.29 no.3
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• pp.93-101
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• 2011

In 2008, Korea has observed total 215,822traffic accidents Although the number has decreased since then, the crash rate is still higher than those of other advanced countries. In particular, high rate of pedestrian accidents occurred on urban streets is recognized as a serious problem. The previous studies, however, are not entirely considerate of accident factors by accident type. Inspired by the fact, this study analyzes factors affecting traffic accident by accident type. Using the accident data collected on urban streets in Seodaemun-gu, this paper classifies the accidents into two groups (i.e., vehicle-vs-vehicle and vehicle-vs-person crashes), and analyzes relationships between severity and exogenous variables. For the analysis, Structural Equation Modeling (SEM) is employed to estimate relationships among exogenous factors of traffic accident by each type on urban streets. The resulting model reveals that roadway related factors are highly correlated with the severity of vehicle-vs-vehicle crashes whereas environment factors are with vehicle-vs-person crashes.

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.279-292
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• 2011

This research explores the differences of two consumption behaviors from the thinking style they elicit. Specifically, we predict that more utilitarian attributes(vs. hedonic attributes) may be used when evaluating utilitarian products whereas more hedonic attributes(vs. utilitarian attributes) may be used when evaluating hedonic products. In addition, this research considered two different thinking styles: rational thinking style and experiential thinking style, and try to find out whether different product attribute information could elicit different thinking style and whether the thinking style has any effect on product evaluation. The data reported in this research demonstrates the following results. Firstly, people use different criteria when judging different types of product. That is, when judging utilitarian product, they are more likely to use utilitarian attribute as evaluation criteria, on the contrary they inclined to use hedonic attribute as evaluation criteria when choosing hedonic product. Secondly, different types of attribute informations could elicit different thinking style. Utilitarian attribute informations elicit rational thinking style whereas hedonic attribute informations elicit experiential thinking style. Finally, if people engage in rational thinking elicited in processing utilitarian attribute informations, the evaluation of utilitarian product is enhanced. But even though people engage in experiential thinking in processing hedonic attribute informations, the evaluation of hedonic product is not improved.