Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations Procedure
By D. Lord, B. Persaud. 2000
297 citations recorded by the source corpus.
Subfields: Building and Construction, Civil and Structural Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/d34af938186a628c576a3d9aa131fdcd264eea4d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
In Civil and Structural Engineering
In Safety, Risk, Reliability and Quality
Citations in the corpus
- Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. (2005, methodology): “During this period, most improvements have been focused on the tools for developing predictive models, such as the application of random-effect models (Miaou and Lord, 2003), the Generalized Estimating Equations (GEE) (Lord and Persaud, 2000), and Markov Chain Monte Carlo (MCMC) (Qin et al., 2004; M”
- A Novel Hybrid Method for Measuring the Spatial Autocorrelation of Vehicular Crashes: Combining Moran’s Index and Getis-Ord G i * Statistic (2017, background): “Therefore, the consideration of spatial autocorrelations has been gaining attention in crash data modeling in recent years, and researchers have shown that ignoring this factor may lead to a biased estimation of the model parameters [3]-[12].”
- Incorporating temporal correlation into a multivariate random parameters Tobit model for modeling crash rate by injury severity (2018, background): “…data of crash-injury-severity rates, which have been found in thepredictionmodels for total crash rate (Ma,Chen, andChen2015), total crash frequency (Lord and Persaud 2000; Wang and Abdel-Aty 2006; Noland, Quddus, and Ochieng 2008; Quddus, 2008; Castro, Paleti, and Bhat 2012; Dong, Huang, et al.…”