A Motorcyclist-Injury Severity Analysis: A Comparison of Single-, Two-, and Multi-Vehicle Crashes Using Latent Class Ordered Probit Model-Reference-Cited by-同舟云学术

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A Motorcyclist-Injury Severity Analysis: A Comparison of Single-, Two-, and Multi-Vehicle Crashes Using Latent Class Ordered Probit Model

Published:2021-03 Issue: Volume:151 Page:105953
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Li Jing,Fang Shouen,Guo Jingqiu,Fu Ting,Qiu Min

Funder

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference41 articles.

1. Latent class analysis of factors that influence weekday and weekend single-vehicle crash severities;Adanu;Accident Analysis & Prevention,2018

2. Characteristics of road factors in multi and single vehicle motorcycle crashes in queensland;Adinegoro,2015

3. A statistical assessment of temporal instability in the factors determining motorcyclist injury severities;Alnawmasi;Analytic methods in accident research,2019

4. Under-reporting of road crash casualties in france;Amoros;Accident Analysis & Prevention,2006

5. The injury severity score: A method for describing patients with multiple injuries and evaluating emergency care;Baker;Journal of Trauma and Acute Care Surgery,1974

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1. Investigating vehicle-vehicle and vehicle–pedestrian crash severity at street intersections with the latent class parameterized correlation bivariate generalized ordered probit;Accident Analysis & Prevention;2024-11

2. Modeling of motorcyclist injury severities: A comparison between crashes on main-, frontage-, and standard-lane of roadway;IATSS Research;2024-10

3. The local driving safety effect of motorcycle restrictions: Evidence from China;Transport Policy;2024-07

4. Exploring the impact of time pressure on motorized two-wheeler riders’ over-speeding behavior;Transportation Letters;2024-06-24

5. Investigating older driver crashes on high-speed roadway segments: a hybrid approach with extreme gradient boosting and random parameter model;Transportmetrica A: Transport Science;2024-06-06

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