dedup_wf_001--1337dbc5524a0bd8e098c0ae4fce7f7d

Objective: Teenage drivers are more likely to be involved in severely incapacitating and fatal crashes compared to adult drivers. Moreover, since two-thirds of urban Vehicle Miles Traveled (VMTs) 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, two 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 two 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.

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.1585879
PID https://www.doi.org/10.6084/m9.figshare.1585879.v2
PID https://www.doi.org/10.6084/m9.figshare.1585879.v1
PID https://www.doi.org/10.1080/15389588.2015.1100722
URL http://dx.doi.org/10.6084/m9.figshare.1585879
URL http://www.tandfonline.com/doi/pdf/10.1080/15389588.2015.1100722
URL https://academic.microsoft.com/#/detail/2203987231
URL http://www.tandfonline.com/doi/full/10.1080/15389588.2015.1100722
URL http://europepmc.org/abstract/MED/26508438
URL http://dx.doi.org/10.6084/m9.figshare.1585879.v1
URL http://dx.doi.org/10.6084/m9.figshare.1585879.v2
URL http://dx.doi.org/10.1080/15389588.2015.1100722
URL https://www.tandfonline.com/doi/full/10.1080/15389588.2015.1100722
URL http://www.ncbi.nlm.nih.gov/pubmed/26508438
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right Open Access
Attribution

Description: Authorships and contributors

Field Value
Author Qiong Wu
Author Guohui Zhang
Author Yusheng Ci
Author Lina Wu
Author Rafiqul A. Tarefder
Author Adélamar “Dely” Alcántara
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From figshare; Datacite; Crossref; Microsoft Academic Graph
Hosted By figshare; Traffic Injury Prevention
Publication Date 2015-10-27
Additional Info
Field Value
Language UNKNOWN
Resource Type Other literature type; Article
keyword FOS: Sociology
keyword FOS: Biological sciences
keyword FOS: Earth and related environmental sciences
keyword FOS: Clinical medicine
system:type publication
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::1337dbc5524a0bd8e098c0ae4fce7f7d
Author jsonws_user
Last Updated 26 December 2020, 14:27 (CET)
Created 26 December 2020, 14:27 (CET)