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Browsing "Department of Civil Engineering" by Author zeng, q
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Showing results 1 to 9 of 9
Title
Author(s)
Issue Date
A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity
Journal:
Accident Analysis & Prevention
Zeng, Q
Wen, H
Huang, H
Pei, X
Wong, SC
2017
Analyzing zonal crash rate by injury severity with spatial correlation
Proceeding/Conference:
International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017
Zeng, Q
Wen, H
Pei, X
Wong, SC
Guo, Q
2017
Antibiotic-mediated changes in the fecal microbiome of broiler chickens define the incidence of antibiotic resistance genes
Journal:
Microbiome
Xiong, W
Wang, Y
Sun, Y
Ma, L
Zeng, Q
Jiang, X
Li, A
Zeng, Z
Zhang, T
2018
Incorporating temporal correlation into a multivariate random parameters Tobit model for modeling crash rate by injury severity
Proceeding/Conference:
International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016
Zeng, Q
Wen, H
Huang, H
Pei, X
Wong, SC
2016
Incorporating temporal correlation into a multivariate random parameters Tobit model for modeling crash rate by injury severity
Journal:
Transportmetrica A: Transport Science
Zeng, Q
Wen, H
Huang, H
Pei, X
Wong, SC
2018
Jointly modeling area-level crash rates by severity: a Bayesian multivariate random-parameters spatio-temporal Tobit regression
Journal:
Transportmetrica A: Transport Science
Zeng, Q
Guo, Q
Wong, SC
Wen, H
Huang, H
Pei, X
2019
Modeling nonlinear relationship between crash frequency by severity and contributing factors by neural networks
Journal:
Analytic Methods in Accident Research
Zeng, Q
Huang, H
Pei, X
Wong, SC
2016
Predicting crash frequency using an optimised radial basis function neural network model
Journal:
Transportmetrica A: Transport Science
Huang, H
Zeng, Q
Pei, X
Wong, SC
Xu, P
2016
Spatial joint analysis for zonal daytime and nighttime crash frequencies using a Bayesian bivariate conditional autoregressive model
Journal:
Journal of Transportation Safety & Security
Zeng, Q
Wen, H
Wong, SC
Huang, H
Guo, Q
Pei, X
2020