Investigating injury severity interaction between urban and urban-rural fringe areas: a grouped random parameters seemingly unrelated bivariate probit approach-Reference-Cited by-同舟云学术

Investigating injury severity interaction between urban and urban-rural fringe areas: a grouped random parameters seemingly unrelated bivariate probit approach

Published:2023-09-13 Issue: Volume: Page:1-8
ISSN:1745-7300
Container-title:International Journal of Injury Control and Safety Promotion
language:en
Short-container-title:International Journal of Injury Control and Safety Promotion

Author:

Xiao Daiquan¹^ORCID,Yuan Quan²³,Xu Xuecai¹,Zhang Shibo⁴

Affiliation:

1. School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China

2. State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China

3. Center for Intelligent Connected Vehicles and Transportation, Tsinghua University, Beijing, China

4. School of Automobile and Transportation, Xihua University, Chengdu, China

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/17457300.2023.2258352

Reference36 articles.

1. Analysis of safety benefits and security concerns from the use of autonomous vehicles: A grouped random parameters bivariate probit approach with heterogeneity in means

2. Random parameters multivariate tobit and zero-inflated count data models: Addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis

3. A note on modeling vehicle accident frequencies with random-parameters count models

4. An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data

5. A study of factors affecting highway accident rates using the random-parameters tobit model