• Journal of Korean Society of Transportation
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• 제35권2호
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• pp.129-142
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• 2017

Accident Black Spot Improvement Project is the representative road safety intervention to eliminate environmental risk factors on the roadway by installing road safety facilities. Although it is one of the main road safety projects in Korea, there has been a lack of effort analyzing the traffic accident reduction effects of this project. In this study, therefore, we selected 4,171 road black spots from 2004 to 2013 and investigated the traffic accident reduction effects of 5 road safety facilities by using "Comparison Group(C-G)" method. Through the analysis, it was found that the number of traffic accidents were lowered by 4.45% with traffic islands, 32.17% with road paved markers, and 24.13% with speed cameras, respectively. However, 0.61% with pedestrian fencing and 1.67% with skid resistant pavement were increased on the other hand. In addition, we also analyzed traffic accident reduction facilities' performance on specific types of collision mentioned in manual on road safety facilities by Ministry of Land, Infrastructure and Transport. It was shown that the number of bad weather traffic accidents were reduced by 52.96% with road paved markers, pedestrians accidents were reduced by 62.77% with pedestrian fencing and rear-end collisions were reduced by 26.00% with skid resistant pavement.

• 한국노년학
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• 제30권3호
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• pp.843-853
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• 2010

The purpose of this study is to find out the characteristics of elderly pedestrian accidents and to suggest policy implications to enhance the level of elderly pedestrian safety. Although much efforts has made to enhance traffic safety environment, pedestrian traffic accidents among elderly population are not significantly decreased. This is mainly because current traffic safety measures do not much consider the characteristics of elderly pedestrians in the aspects of physical and psychological conditions. Main findings from vehicle-pedestrian traffic accident data and survey are as follows. First elderly pedestrians have high probability of traffic accident near crosswalks or cross streets rather than on crosswalk or cross streets. Second they need more green light time for crossing the streets. Third, they feel motor cycles running on the side walk and parked vehicles on the side walk are the most dangerous factors. Forth, general drivers do not have reasonable understanding for the walking behaviors of elderly pedestrians. Fifth, elderly pedestrians frequently need to rest while walking. Sixth, elderly people do not see clearly or understand traffic signs. Finally, many elderly pedestrians experience accidents or inconvenience while walking on the sidewalk.

• Journal of Korean Society of Transportation
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• 제26권1호
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• pp.165-180
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• 2008

The purpose of this research is to propose an effective traffic safety countermeasure to reduce both violations of road traffic acts and accident rates related to the driver's characteristics by measuring them using Q analysis method, a microscopic statistics analysis method. As a result, violators of the road traffic act could be divided into five driving characteristics and causers of traffic accident could be classified into six driving characteristics. By understanding these characteristics, We could establish a proper traffic safety countermeasure for each driving characteristic. The accomplishments of this research are as follows: The first, We could classify the decisive driving characteristics, which cause road traffic acts and traffic accidents, into internal and external causes. The relationship between each driver's characteristic and the occurrence of the road traffic act and traffic accident could be recognized more clearly. We could find the dangerous driver samples who have Accidents proneness. The second, As a result of analyzing the characteristics of these factors, We could sort out and suggest countermeasure for reducing violation of road traffic acts and traffic accidents as a priority countermeasure and complementary countermeasure. Finally, transportation companies most closely related to automobile accidents can judge new personnels on the basis of their driving characteristics before hiring, and also apply this principle to the traffic safety education vigorously.

• The Journal of the Korea Contents Association
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• 제14권7호
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• pp.151-160
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• 2014

The purpose of this study is to deduce improvement plan through analysis of the type and characteristics of traffic accidents caused by elderly drivers, and to establish the traffic safety policies for the elderly drivers. The analyzed result of road traffic accident situation are as follows. Firstly, Traffic accidents caused by elderly drivers were frequent on local roads of poor traffic safety facilities such as lighting. Secondly, The most frequent time zone of Traffic accidents caused by elderly drivers was 18:00 to 20:00, this time zone was mainly darkened. Thirdly, Traffic accidents are often caused by lack of attention occurred by no implementation of safe driving. Institutional Improvement of cosideration for elderly drivers and Traffic Safety Facilities maintenance considering regional particularities is needed for reducing traffic accidents and the safety of our society. Their driving skills of elderly drivers should test themselves constantly, and elderly drivers must hold down driving yourself using the alternative transportation.

• Journal of Korean Society of Transportation
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• 제34권4호
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• pp.354-372
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• 2016

This study identified factors affecting the crash severity at freeway work zones. A nice feature of this study was to take into account the characteristics of work zone traffic management in analyzing traffic safety concerns. In addition to crash records, vehicle detection systems (VDS) data and work zone historical data were used for establishing a dataset to be used for statistical analyses based on an ordered probit model. A total of six safety improvement strategies for freeway work zones, including traffic merging method, guidance information provision, speed management, warning information systems, traffic safety facility, and monitoring of effectiveness for countermeasures, were also proposed.

• Proceedings of the KOR-KST Conference
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• 대한교통학회 1996년도 제29회 학술발표회
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• pp.87-114
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• 1996

심각한 노인교통사고를 줄이기 위하여 가장 높은 점유율을 보이는 노인보행자의 횡단사고 유형, 특성 및 사고원인을 분석했다. 횡단사고의 약 60%가 횡단보도 및 그 부근에서 발생했고, 70%이상이 노인여성이었으며, 절반정도가 야간에 발생했고 피해정도는 치사율이 12%, 부상은 평균 6주의 중상이었다. 사고원인은 특히 횡단보도 및 그 부근에서의 운전미확인이 가장 많았고, 노인보행자측의 원인은 고의위반 또는 법의 부지가 가장 많았다. 노인보행자의 횡단사고를 줄이기 위해서 운전자에게 횡단보도 정지선 엄수, 횡단보도 부근뿐 아니라 생활도로 및 상업지역 도로에서의 철저한 안전확인 등의 교육, 홍보, 훈련이 필요하다. 노인보행자를 위한 훈련프로그램은 성별로는 특히 노인여성에게 집중적 훈련이 요구되며, 훈련내용으로는 야간횡단의 위험성 인식 및 반사재 부착, 안전한 횡단장소 선택 및 횡단절차의 훈련, 상대방은 운전자와의 의사소통 훈련 등이 중점적으로 개발되어야 한다.

• Journal of the Korean Geographical Society
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• 제39권3호
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• pp.457-472
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• 2004

The purpose of this study is to analyze spatial patterns of traffic accidents and to investigate spatial relations among neighboring spatial objects by applying GIS and spatial data mining methods. This study investigated traffic accident data in Kangnam-gu, Seoul, as a case study. As a result, four clusters were emerged based on individual attributes of traffic accidents. Each cluster showed distinctive properties. In spatial associations between individual attributes of traffic accidents and neighboring spatial objects, there were many rules according to concept hierarchy and definition of spatial relations. Although all rules were not be interesting and significant, they could be a clue to investigate more.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• 제13권2호
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• pp.12-26
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• 2014

This Study deals with effect of low visibility condition at nighttime on traffic accident. Roads for experiment of this study are Gyeongbu expressway, Seohaean expressway, Yeongdong expressway and Seoul beltway in Gyeonggi province. For this study, I subdivided basic straight section of them into 58 short section. And I analyzed effect of low visibility condition by darkness at nighttime on traffic accident by using 410 traffic accidents between January 1, 2009 and June 30, 2012 on those sections. The Quasi-experimental and negative binomial regression were applied to analyze effect of low visibility condition at nighttime on traffic accident. In this study, I only analyzed visibility difference of daytime and nighttime on traffic accident except other effective variables on traffic accidents. As a result, I have found that it is for low visibility condition at nighttime to have effect on traffic accidents at such specific conditions as Los A speed is maintained in basic straight section of expressway in fine weather. And I tried to do various analysis on types and causes of traffic accidents using the result of analysis.

• Proceedings of the KOR-KST Conference
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• 대한교통학회 1998년도 제34회 추계 학술발표회
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• pp.311-311
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• 1998

일반적으로 교차로에서의 보행자 사고는 대부분이 횡단보도에서나 횡단보도 주변에서 발생하는 것이 많다. 이것은 운전자의 안전의식부족뿐만 아니라 보행자들이 교통법규를 지키지 않기 때문이다. 교통사고는 운전자나 보행자를 막론하고 안전의식 수준 및 안전시설의 질적 수준과 밀접한 관련이 있다. 특히 횡단보도 위치와 관련한 정지선에 대한 기준이 없어서 횡단보도 전후에 정지선이 2개가 설치된 곳이 많아 차량간의 사고를 유발하고, 보행자는 보행동선을 단축하기 위해 횡단보도 주변횡단이라는 위험한 행태를 유발하지만 이에 대한 연구나 대안제시가 이루어지지 않고 있다. 본 연구는 요인분석법이란 다변량 통계기법을 통해서 사고기록과 형태자료를 분석하였다. 사고기록은 정지선이 2개에서 1개로 변경된 25개 교차로에 대한 보행자와 차량의 유형별, 위치별, 피해정도별 사고기록을 조사 분석하고 행태분석은 현재 정지선이 2개인 곳과 기하구조가 유사한 정지선 1개인 곳을 하나의 쌍으로 해서 모두 8쌍(16개의 교차로 횡단보도)를 조사 분석하였으며, 마지막으로 설문조사를 통해서 보행자의 교통법규 준수와 인식정도에 대한 조사를 통해 보행자들의 인식과 행태조사를 통한 교통법규 준수 정도를 알아보았다. 사고자료의 분석을 통해서 첫째, 정지선이 2개인 교차로는 교차로내 차량사고, 접근부의 후면 추돌사고, 횡단보도에서 보행자사고가, 둘째, 정지선이 1개인 교차로는 유출부 차량사고가 많은 것으로 나타났으며, 행태자료의 분석을 통해서는 첫째, 정지선이 2개인 곳은 횡단보도를 이탈 또는 진입하면서 횡단하는 보행자, 점멸신호에 횡단 시작하는 보행자의 행태와 보행자 신호에 횡단보도를 통과하는 차량, 둘째, 정지선이 1개일 때는 횡단보도를 침범해서 정지하는 차량, 도로에 내려서서 기다리는 보행자가 많은 것으로 나타났다. 마지막으로 설문조사와 행태조사를 종합하면, 보행자들의 인식으로는 약 71%의 응답자와 점멸신호의 의미를 알고, 전체 응답자의 약 58%가 점멸신호에 건너지 않고 기다린다는 응답(교통법규준수)을 했으며, 실제 행태에서는 약 12.4%가 위반하는 것(87.6% 법규준수)으로 나타났다. 보행자들이 응답한 것보다 실제 행태에서는 더 많은 보행자가 교통법규를 준수하는 것으로 나타났으며, 횡단보도를 이용하는데 있어서 횡단보도를 침범하는 차량과 신호시간이 적다는 의견이 많았다.

• Journal of Digital Convergence
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• 제20권5호
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• pp.39-46
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• 2022

As the link between traffic accidents and social and economic losses has been confirmed, there is a growing interest in developing safety policies based on crash data and a need for countermeasures to reduce severe crash outcomes such as severe injuries and fatalities. In this study, we select Daejeon city where the relative proportion of fatal crashes is high, as a case study region and focus on the severity of pedestrian crashes. After a series of data manipulation process, we run machine learning algorithms for the optimal model selection and variable identification. Of nine algorithms applied, AdaBoost and Random Forest (ensemble based ones) outperform others in terms of performance metrics. Based on the results, we identify major influential factors (i.e., the age of pedestrian as 70s or 20s, pedestrian crossing) on pedestrian crashes in Daejeon, and suggest them as measures for reducing severe outcomes.