Related Experiment Video
Updated: Jul 16, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
Investigating injury severity interaction between urban and urban-rural fringe areas: a grouped random parameters
Daiquan Xiao1, Quan Yuan2,3, Xuecai Xu1
1School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China.
Abstract:
Urban-rural integration is the critical process of urbanization, while during this process there are various corresponding problems generated, safety is the most important one, especially at urban-rural fringe areas due to mixed traffic flow and complicated land use. This study intended to investigate the injury severity interaction between urban area and urban-rural fringe area, and explore the correlation within injury severity levels and heterogeneity attributed to unobserved factors. To address the correlation and heterogeneity issues, a grouped random parameters seemingly unrelated bivariate (SUB) probit model was proposed, in which the SUB probit model addressed the correlation of residuals, while the random parameters model accommodated the heterogeneity due to unobserved factors. By comparing the pooled with random parameters models, the results showed that random parameters SUB probit model performed better than the pooled one, and the dataset collected from 2013 to 2017 in Chengdu, China was adopted to illustrate the proposed model. It is found that crash location, speed limit and age of person injured are significant for injury severity in urban and urban-rural fringe areas, but crash form plays a significant role in urban area while number of persons involved should be paid more attention due to injury severity in urban-rural fringe area. Some empirical suggestions are presented to improve the safety in urban and urban-rural fringe areas.
Related Concept Videos
Hypothesis Test for Test of Independence
H0: The two variables (factors)...
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Determination of Expected Frequency
Randomized Experiments
Simple randomization
Simple...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Hazard Ratio
For example, in a clinical trial...

