• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.261-262
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• 2023

보행자 교통사고는 보행자와 운행 중인 차량 간 발생한 충돌사고로 도로 및 주변 환경 등에 영항을 받는다. 이 연구에서는 2018년부터 2022년까지 서울특별시에서 발생한 노인 보행자 교통사고 자료를 수집하여 보행자 교통사고의 사고 요인을 분석하였다. 분석에 있어서 고려된 연구모형은 랜덤포레스트, Gradient Boosting regression(GBR)이다. 분석 결과 서울특별시의 지리적 특성과 교통 통행 패턴을 반영하여 교통약자를 대상으로 하는 교통정책을 보완하고, 보행 안전을 강화하는 것이 필요하다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.133-144
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• 2012

This study focused on estimating influential factors of traffic accidents and analyzing traffic accident severity of elderly and non elderly using traffic accident data. In order to reclassify elderly and non elderly traffic accident by a statistical method from entire traffic accident data, multiple discriminant analysis was applied. Also ordered logit model was applied for analyzing traffic accident severities using traffic accident severities as an independent variable and transportation facilities, road conditions and human characteristics as dependent variables. As results of the comparison between elderly and non elderly traffic accident, the traffic accident severity was affected by the age, types of traffic accidents, human characteristics and road conditions as well. Also, transportation facilities and road conditions affected to more elderly traffic accident than non elderly. Therefore, traffic accident severity would be decreased with the improvement of transportation facilities and road conditions for the elderly.

• Journal of Korean Society of Transportation
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• v.20 no.4
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• pp.163-175
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• 2002

Fatalities from traffic accidents constitute one of the major health issues as well as safety ones in Korea. It has been reported that traffic accident is affected by the combined effects of road. vehicle. and human factors. Over the past few decades, a number of studies have been conducted to find the impact of road geometric factors on traffic safety. The purpose of this study is to investigate the effect of road geometric factors on traffic safety on Korean expressways. Detailed geometric design data were available from Korea Highway Corporation. Five-year traffic accident data on Honam expressway were collected and analyzed. It was found that following geometric factors influence traffic safety on expressways : radius of curve, curve length, and length of straight section. Furthermore, the existence of I.C. turned out to have a significant impact on traffic safety level. Based on the data analysis several multiple regression forms that relate traffic accident frequencies and geometric factors on expressways are developed.

• Journal of Korean Society of Transportation
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• v.26 no.2
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• pp.17-24
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• 2008

Traffic accident forecasting model has been developed steadily to understand factors affecting traffic accidents and to reduce them. In Korea, the length of highways is over 3,000km, and it is within the top ten in the world. However, the number of accidents-per-one kilometer highway is higher than any other countries. The rapid increase of travel demand and transportation infrastructures since 1980's may influence on the high rates of traffic accident. Accident severity is one of the important indices as well as the rate of accident and factors such as road geometric conditions, driver characteristics and type of vehicles may be related to traffic accident severity. However, since all these factors are interacted complicatedly, the interactions are not easily identified. A structural equations model is adopted to capture the complex relationships among variables. In the model estimation, we use 2,880 accident data on highways in Korea. The SEM with several factors mentioned above as endogenous and exogenous variables shows that they have complex and strong relationships.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.227-228
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• 2020

어린이 교통관련 안전사고 잠재적 위험요인 및 개선요인을 도출하기 위해 119구조구급자료 중 6세부터 11세까지의 어린이 사고 자료를 분석하였다. 4개 광역지자체의 2014년부터 5년간 자료에 대한 사고내용을 전수 조사하여 분석하였다. 주요 사고 장소 및 시간대 분석 결과 어린이 교통사고는 하교시간 오후 시간대에 도로에서의 집중적 관리가 필요한 것으로 나타났다. 어린이 교통사고 잠재적 위험요인을 분석한 결과 자동차와 자전거를 이외 탈 것에 관한 사고비율이 최근 높아지고 있음을 확인하였다. 연간 교통사고 전체 건수에 대한 추이는 큰 변화는 없었으나 개인 탈것의 사고 증가는 뚜렷하였다. 그 중 킥보드에 대한 사고가 가장 많았고, 퍼스널 모빌리티가 가장 뚜렷한 증가 분야였다. 현재 어린이에게 적용되고 있는 퍼스널 모빌리티 등에 대한 안전가이드라인이나 규정 등은 미비하나 향후 퍼스널 모빌리티의 보급은 크게 늘어날 것으로 전망된다. 향후 어린이 교통사고를 줄이기 위해서는 어린이가 개인 전동 이동수단 활용 시 안전에 대한 규정마련과 교육이 시급하다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.251-252
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• 2017

현재 우리나라는 자동차 수의 폭발적인 증가에도 불구하고 전체적인 교통사고 건수는 감소되는 추세를 보이고 있는데 반해 고속도로에서 발생하는 사고는 증가 추세를 보이고 있다. 따라서 고속도로의 사고 특성을 파악하여 사고를 감소시키기 위한 다양한 연구가 많이 진행되고 있다. 하지만 다양한 사고 유발요인들과 사고 데이터 제공의 한계로 인해 고속도로 교통사고의 특성에 대해 명확히 규명한 연구는 부족한 실정이다. 본 연구에서는 전국고속도로 3개년도(2013~2015)의 자료를 활용하여 전국 고속도로 교통사고의 특성을 파악하고 사고건당 EPDO(Equivalent Property Damage Only)를 계산하여 EPDO 값과 사고원인별, 도로 기하구조별, 기상조건, 운전자 성별, 나이대별 등 여러 사고 조건과의 상관관계를 회귀분석을 통해 분석하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2483-2491
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• 2013

In order to identify and understand the crucial factors to induce traffic accident, causal relationships between diverse factors and traffic accident occurrence have been investigated continuously. It is one of most important issues all over the world to reduce the number of traffic accidents and deaths by them. Korea government is also stepping up their effort to reduce the number of traffic accidents and mitigate the severity of the accidents by establishing various traffic safety strategies. By introducing the five-day work week and increasing concern of leisure activities, the differences of trip characteristics between weekday and weekend is getting greater. According to this, the patterns and crucial factors of traffic accident occurrence in weekend appear differently from those in weekday. This study aims to understand major different factors affecting accident severity between weekday and weekend using 12,042 incident data occurred on freeways of Korea from 2006 to 2011. The model developed in this study estimated relationships among various exogenous factors of traffic accident by each type using SEM(Structural Equation Model). The result provides that road factors are related to the accident severity for weekday model, while environment factors affects on accident severity for weekend.

• Korean Journal of Culture and Social Issue
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• v.15 no.3
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• pp.431-446
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• 2009

This study was intended to validate and develop the driving stress coping behavior scale. In a preliminary investigation, literature studies on the driving stress and open questionnaire were administered and examined in four regions in Korea. As a result, 64 items driving stress questionnaire were developed. In the study, this Driving Stress Coping Behavior Scale(DS-CBS) was examined to 372 drivers located seven regions in Korea. The factors analysis revealed 2 meaningful factors[(Good Coping: GC), (Bad Coping: BC) with 24 items. When internal consistency for each 2 factor was calculated, all sub-scale revealed a satisfactory level of Cronbach's α. Also, correlations with Driver Coping Questionnaire(DCQ) and risk driving behaviors(speed driving, drunken driving, traffic violation, offence accident, defence accident) supported consistently validity of the Driving Stress Coping Behavior Scale(DS-CBS). Also, We investigated the influences of 'Good Coping', 'Bad Coping' consisting of driving stress coping behavior, on traffic accidents risk. As a result, 'Good Coping' and 'Bad Coping' influenced traffic accidents risk. 'Good Coping' had decreased effects, the other side 'Bad Coping' had increased effects on traffic accidents risk(TARI).

• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.440-447
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• 2024

Purpose: The number of registered vehicles in Korea continues to increase. As traffic volume increases gradually due to improved quality of life, the severity of accidents is expected to increase and congestion problems are also expected. Therefore, it is necessary to analyze the accident factors of pointed traffic accidents and non-pointed traffic accidents. Method: The severity of the apical and non-pointed traffic accidents in Incheon Metropolitan City is analyzed by dividing them into apical and non-pointed traffic accidents to investigate the factors affecting the accident. XGBoost machine learning techniques were applied to analyze the severity of pointed and non-pointed traffic accidents and visualized as plot through the results. Result: It was analyzed that during non-peak hours, such as the case of the victim's vehicle type at peak times, the victim's vehicle type and construction machinery are variables that increase the severity of the accident. Conclusion: It is meaningful to derive the seriousness factors of apical and non-pointed accidents, and it is hoped that it will be used to reduce congestion costs by reducing the seriousness of accidents in the case of apical and non-pointed in the future.

• Korean Journal of Culture and Social Issue
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• v.8 no.1
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• pp.41-59
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• 2002

The present study explored the major behavior patterns of drivers and the environmental settings having an effect on traffic accident using the data collected from drivers and traffic police. Drivers and traffic police read questionnaire which contain the passible causes of traffic accident and selected the major causes on the basis of their latest accidents. Unexperienced drivers were forced to answer the questionnaire by referring to their friends and neighborhoods. The results showed that the major causes of traffic accident were connected with the driver's factors. The most important cause of traffic accidents was inattention/incautiousness. The next were lack of competence, skill, and experience. One interesting fact was that drivers and traffic police attributed differently. Drivers pointed out the lack of ability coping with an emergency and the insufficient skill of defensive driving as causes of the traffic accident. On the other hand, traffic polices indicated the intentional violations such as the disregard for traffic rules, trespassing on the central line of the roadway, speed limit violation, and breaking into the vehicle's line. The implications for appling the this results to driver education institutions were discussed.