random parameter negative binomial model of signalized intersections

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ID: 209030
2016
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Abstract
Factors affecting accident frequencies at 72 signalized intersections in the Gyeonggi-Do (province) over a four-year period (2007~2010) were explored using the random parameters negative binomial model. The empirical results from the comparison with fixed parameters binomial model show that the random parameters model outperforms its fixed parameters counterpart and provides a fuller understanding of the factors which determine accident frequencies at signalized intersections. In addition, elasticity and marginal effect were estimated to gain more insight into the effects of one-percent and one-unit changes in the dependent variable from changes in the independent variables.
Reference Key
park2016mathematicalrandom Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Minho Park;Dongmin Lee;Jinwoo Jeon
Journal journal of power sources
Year 2016
DOI
10.1155/2016/1436364
URL
http://dx.doi.org/10.1155/2016/1436364
Keywords
civil engineering (general)mathematics engineering (general)

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