Spatial zero-inflated negative binomial regression models: Application for estimating frequencies of rear-end crashes on Thai highways
Author:
Affiliation:
1. School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand
2. Department of Civil Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand
Funder
Thailand Science Research and Innovation (TSRI
Publisher
Informa UK Limited
Subject
Safety Research,Transportation
Link
https://www.tandfonline.com/doi/pdf/10.1080/19439962.2020.1812786
Reference49 articles.
1. Multilevel analysis of the role of human factors in regional disparities in crash outcomes
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3. Full Bayes Poisson gamma, Poisson lognormal, and zero inflated random effects models: Comparing the precision of crash frequency estimates
4. Random parameters multivariate tobit and zero-inflated count data models: Addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis
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