대한교통학회지 (Journal of Korean Society of Transportation)

  • 제31권1호
  • /
  • Pages.65-76
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  • 2013
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  • 1229-1366(pISSN)
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  • 2234-4217(eISSN)
대한교통학회 (Korean Society of Transportation)
권호 표지
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비선형 회귀분석과 구조방정식을 이용한 지방부 4지 신호교차로의 사고요인분석

A Causation Study for car crashes at Rural 4-legged Signalized Intersections Using Nonlinear Regression and Structural Equation Methods

  • 오주택 (한국교통대학교 도시공학과) ;
  • 권일 (한국교통대학교 도시공학과) ;
  • 황정원 (한국교통대학교 도시공학과)
  • Oh, Ju Taek (Department of Urban Engineering, Korea National University of Transportation) ;
  • Kweon, Ihl (Department of Urban Engineering, Korea National University of Transportation) ;
  • Hwang, Jeong Won (Department of Urban Engineering, Korea National University of Transportation)
  • 투고 : 2012.08.09
  • 심사 : 2013.01.07
  • 발행 : 2013.02.28
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초록

사고발생의 주요지점인 신호교차로 교통사고 발생건수는 해마다 증가하고 있어 교통사고를 감소시키기 위한 원인 규명이 매우 필요하다. 국내에서 연구되어진 기존의 교통사고예측 모형들은 대부분 Poisson 모형 등의 비선형 회귀분석을 이용한 사고원인분석이 주를 이루고 있다. 비선형 Econometrics 분석기법들이 사고의 성격을 분석하는데 가장 중요한 통계적 기법이기는 하지만, 도로에서 발생하는 교통사고의 원인분석적 차원에서 접근하면 이런 사고예측 모형들만 가지고 사고발생의 설명변수들을 규명하는데 구조적인 한계가 발생한다. 이는 이러한 통계적 방법들이 사고의 예측력을 높이는데 중점을 두고, 이를 위해 소수의 유효한 설명변수들만을 모형식에 포함시키기 때문이다. 따라서 사고에 대해 보다 구체적인 원인규명을 위해서는 비선형회귀분석모형의 개발과 동시에 비선형 Econometrics 분석기법의 단점을 보완하는 또 다른 통계적 노력이 필요하다. 이에 본 연구에서는 Poisson기법을 이용하여 지방부 4지 신호교차로의 사고예측모형을 개발하였고, 동시에 복합적인 인과관계를 증명하는데 다중변수관계를 포괄적으로 측정하여 탐색하는 구조방정식을 이용하여 사고모형을 개발하여 Poisson 모형의 결과값과 비교 분석하였다.

Traffic accidents at signalized intersections have been increased annually so that it is required to examine the causation to reduce the accidents. However, the current existing accident models were developed mainly by using non-linear regression models such as Poisson methods. These non-linear regression methods lack to reveal the complicated causation for traffic accidents, though they are the right choice to study randomness and non-linearity of accidents. Therefore, it is required to utilize another statistical method to make up for the lack of the non-linear regression methods. This study developed accident prediction models for 4 legged signalized intersections with Poisson methods and compared them with structural equation models. This study used structural equation methods to reveal the complicated causation of traffic accidents, because the structural equation method has merits to explain more causational factors for accidents than others.

키워드

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피인용 문헌

  1. A Study for Accident Modification Factors for Rural Road Segments vol.15, pp.6, 2013, https://doi.org/10.7855/IJHE.2013.15.6.113