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A Comparative Analysis of Applying Traffic Accident Models with Spatial Effects

  • Crisisonomy
  • Abbr : KRCEM
  • 2018, 14(7), pp.131-140
  • DOI : 10.14251/crisisonomy.2018.14.7.131
  • Publisher : Crisis and Emergency Management: Theory and Praxis
  • Research Area : Social Science > Public Policy > Public Policy in general
  • Received : June 1, 2018
  • Accepted : July 23, 2018
  • Published : July 31, 2018

Bomi Jeong 1 Jae-Kyeong Lee 2 Ban, Yong-un 3 Heo, Tae Young 3

1충북대학교 통계학과
2한국과학기술정보연구원
3충북대학교

Accredited

ABSTRACT

The purpose of this study is to develop traffic accident models based on spatial effects and traffic accident data characteristics. Statistical models are constructed with the number of traffic injuries observed from 277 segments of interstate highway I-5 in Washington for 9 years from 1999 to 2007 as a response variable. A significance test for Moran’s Index is conducted to determine whether or not spatial autocorrelation exists among the segments. Spatial zero Inflated model and spatial hurdle model are used to reflect excessive zeros in the response variable as well as spatial effects. Those models are found to be appropriate to handle the data according to DIC. Therefore, we propose these models as an optimal traffic accident model, which allows us to determine the effect of major factors of traffic accidents by investigating the influence of each explanatory variable in the models.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.