• Title/Summary/Keyword: 도로특성

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Effects of Road Networks on Vehicle-Pedestrian Crashes in Seoul (도로네트워크 특성과 차대사람 사고발생 빈도간의 관련성 분석 : 서울시를 사례로)

  • Park, Sehyun;Kho, Seoung-Young;Kim, Dong-Kyu;Park, Ho-Chul
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.2
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    • pp.18-35
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    • 2020
  • Many human, roadway, and vehicle factors affect vehicle-pedestrian crashes. Especially, the roadway factors are easily defined and suitable for suggesting countermeasures. The characteristics of the road network are one of the roadway factors. The road network significantly influences behaviors and conflicts of drivers and pedestrians. A metropolitan city such as Seoul contains various types of road networks, and crash prevention strategy considering characteristics of the road network is required. In this study, we analyze the effects of road networks on vehicle-pedestrian crashes. In the study, high order road ratio, intersection ratio, high-low intersection ratio are considered as road network variables. Using Geographically Weighted Poisson Regression, crash frequencies in Dongs of Seoul are analyzed based on the road network variable as well as socioeconomic variables. As a result, Dongs are grouped by coefficient signs, and each group is suggested about improvement directions considering conflict situations.

A Study on Geographical Category Classification of Road Names of New Address System : in the Case of Cheongju City (새주소 체계 도로명의 지리적 유형 분류에 관한 연구 - 청주시를 사례로 -)

  • Hong, Seon-il;Kim, Young-Hoon
    • Journal of the Korean association of regional geographers
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    • v.21 no.3
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    • pp.553-568
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    • 2015
  • This paper focuses on the geographical characteristics and the spatial distributions and patterns of the road names in the new address system for which all the 183 road names of Cheongju City has been used. All 183 road names in Cheongju City and their textural information are analyzed and classified into four main categories and six divisions as sub-category. Each type is mapped and its spatial patterns are discussed in order to identify the interaction between the road name and the geographical characteristics of each type. From the discussion stated in the paper, it can be inferred that the road name is not only a representative place name in an area, but also presents an important geographical feature reflecting the toponymy of the cultural and historical backgrounds of an area. Therefore, it is necessary to recognize that for road naming, various aspects such as geographical backgrounds and characteristics should be considered. These are directly related to the publicity and utilization of the road names to the public who is still unfamiliar with the new address system to be used. Finally, various geographical topics and approaches such as toponymy and spatial analysis are proposed for further geographical research, which will contribute to the extent of geographical research scopes.

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A Rainfall-Runoff for Seom-Gang Experimental Watershed of Road Drainage (섬강 도로배수 시험유역의 강우-유출)

  • Lee, In-Ah;Choi, Hung-Sik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.1597-1601
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    • 2007
  • 본 연구는 도로배수 유역 현황조사에 의해 유역의 적정 크기 등을 고려하여 산지유역인 상지대 섬강 시험유역 내에 도로배수 소유역을 선정하여 운영하였다. 2005년 5월부터 현재까지 수위관측소와 우량관측소를 설치하여 수위 및 우량자료를 수집하고, 홍수기뿐만 아니라 평 갈수기에도 주기적으로 유량 관측을 통해 수위-유량 곡선을 개발하였다. 도로배수유역의 강우-유출특성을 분석하기위하여 도달시간을 산정하였고, HEC-1 모형을 이용한 모의결과를 실측자료와 비교분석을 실시하여 모형의 사용성을 검토하였다.

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A Preliminary Study on Developing a Trafficability Index of Vehicles in Wintertime (동절기 차량의 등판가능성 지표 구축 방안)

  • Chung, Younshik;Shin, Kangwon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.4
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    • pp.1611-1617
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    • 2013
  • Information about trafficability or the condition of road with regard to its being traveled over by vehicles is one of the most critical factors for roadway operation in winter. Specifically, when traveling on snowy or icy surfaces, the traction force varies per vehicle type including tire types, geometric characteristics of roads, and conditions of road surfaces. In general, front-wheel drive or four-wheel drive vehicles have better traction performance on snowy or icy surface than rear-wheel drive vehicles, and the latter type vehicle causes more serious traffic congestion when there is unexpected snowfall. Thus, traffic information regarding trafficability with respect to vehicle types, geometric characteristics of roadway sections, and roadway surface conditions can provide a foundation to make a decision whether to use the associated roadway sections for roadway operators as well as users. Based on the preceding premise, the objective of this study is to present a methodology for developing a trafficability index with respect to vehicle types, geometric characteristics of roadway sections, and roadway surface conditions.

Development of Traffic Accident Prediction Models by Traffic and Road Characteristics in Urban Areas (도로 및 교통특성에 따른 계획 단계의 도시부 도로 교통사고 예측모형개발)

  • 이수범;김정현;김태희
    • Journal of Korean Society of Transportation
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    • v.21 no.4
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    • pp.133-144
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    • 2003
  • The current procedure of estimating accident reduction benefit shows fixed accident rates for each level of roads without considering the various characteristics of roadway geometries, and traffics. In this study, in order to solve the problems mentioned in the above, models were developed considering the characteristics of roadway alignments and traffic characteristics. The developed models can be used to estimate the accident rates on new or improved roads, In this study, only urban highways were included as a beginning stage. First of all. factors influencing accident rates were selected. Those factors such as traffic volumes. number of signalized intersections, the number of connecting roads, number of pedestrian traffic signals, existence of median barrier, and the number of road lane are also selected based upon the obtainability at the planning stage of roads. The relationship between the selected factors and accident rates shows strong correlation statistically. In this study, roads were classified into 4 groups based on number of lanes, level of roads and the existence of median barriers. The regression analysis had been performed for each group with actual data associated with traffic, roads. and accidents. The developed regression models were verified with another data set. In this study, in order to develop the proposed models, only data on a limited area were used. In order to represent whole area of the country with the developed models. the models should be re-analyzed with vast data.