Literature DB >> 16949027

Further notes on the application of zero-inflated models in highway safety.

Dominique Lord1, Simon Washington, John N Ivan.   

Abstract

The intent of this note is to succinctly articulate additional points that were not provided in the original paper (Lord et al., 2005) and to help clarify a collective reluctance to adopt zero-inflated (ZI) models for modeling highway safety data. A dialogue on this important issue, just one of many important safety modeling issues, is healthy discourse on the path towards improved safety modeling. This note first provides a summary of prior findings and conclusions of the original paper. It then presents two critical and relevant issues: the maximizing statistical fit fallacy and logic problems with the ZI model in highway safety modeling. Finally, we provide brief conclusions.

Mesh:

Year:  2006        PMID: 16949027     DOI: 10.1016/j.aap.2006.06.004

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  4 in total

1.  Protection from annual flooding is correlated with increased cholera prevalence in Bangladesh: a zero-inflated regression analysis.

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Journal:  Environ Health       Date:  2010-03-22       Impact factor: 5.984

2.  Crash Frequency Modeling Using Real-Time Environmental and Traffic Data and Unbalanced Panel Data Models.

Authors:  Feng Chen; Suren Chen; Xiaoxiang Ma
Journal:  Int J Environ Res Public Health       Date:  2016-06-18       Impact factor: 3.390

3.  Crash Frequency Analysis Using Hurdle Models with Random Effects Considering Short-Term Panel Data.

Authors:  Feng Chen; Xiaoxiang Ma; Suren Chen; Lin Yang
Journal:  Int J Environ Res Public Health       Date:  2016-10-26       Impact factor: 3.390

4.  A Heckman selection model for the safety analysis of signalized intersections.

Authors:  Xuecai Xu; S C Wong; Feng Zhu; Xin Pei; Helai Huang; Youjun Liu
Journal:  PLoS One       Date:  2017-07-21       Impact factor: 3.240

  4 in total

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