Literature DB >> 26508438

Exploratory multinomial logit model-based driver injury severity analyses for teenage and adult drivers in intersection-related crashes.

Qiong Wu1, Guohui Zhang1, Yusheng Ci1,2, Lina Wu1,3, Rafiqul A Tarefder1, Adélamar Dely Alcántara4.   

Abstract

OBJECTIVE: Teenage drivers are more likely to be involved in severely incapacitating and fatal crashes compared to adult drivers. Moreover, because two thirds of urban vehicle miles traveled are on signal-controlled roadways, significant research efforts are needed to investigate intersection-related teenage driver injury severities and their contributing factors in terms of driver behavior, vehicle-infrastructure interactions, environmental characteristics, roadway geometric features, and traffic compositions. Therefore, this study aims to explore the characteristic differences between teenage and adult drivers in intersection-related crashes, identify the significant contributing attributes, and analyze their impacts on driver injury severities.
METHODS: Using crash data collected in New Mexico from 2010 to 2011, 2 multinomial logit regression models were developed to analyze injury severities for teenage and adult drivers, respectively. Elasticity analyses and transferability tests were conducted to better understand the quantitative impacts of these factors and the teenage driver injury severity model's generality.
RESULTS: The results showed that although many of the same contributing factors were found to be significant in the both teenage and adult driver models, certain different attributes must be distinguished to specifically develop effective safety solutions for the 2 driver groups.
CONCLUSIONS: The research findings are helpful to better understand teenage crash uniqueness and develop cost-effective solutions to reduce intersection-related teenage injury severities and facilitate driver injury mitigation research.

Entities:  

Keywords:  driver injury severity; multinomial logit model; teenage driver; transferability

Mesh:

Year:  2015        PMID: 26508438     DOI: 10.1080/15389588.2015.1100722

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


  2 in total

Review 1.  Influence of Environmental Factors on Injury Severity Using Ordered Logit Regression Model in Limpopo Province, South Africa.

Authors:  Peter M Mphekgwana
Journal:  J Environ Public Health       Date:  2022-02-21

2.  How to quantitatively evaluate safety of driver behavior upon accident? A biomechanical methodology.

Authors:  Wen Zhang; Jieer Cao; Jun Xu
Journal:  PLoS One       Date:  2017-12-14       Impact factor: 3.240

  2 in total

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