Texas A&M Transportation Institute

About: Texas A&M Transportation Institute is a based out in . It is known for research contribution in the topics: Poison control & Computer science. The organization has 697 authors who have published 1362 publications receiving 22323 citations.

Topics: Poison control, Computer science, Crash, Asphalt, Asphalt concrete

Papers published on a yearly basis

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Papers

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Showing all 1,446 results

Journal Article • 10.1016/s0140-6736(24)00933-4 •
Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Michael Brauer, Gregory A. Roth, Aleksandr Y Aravkin, P. Zheng +1768 more • Institutions (441)
01 May 2024 - The Lancet
TL;DR: This study systematically analyzes the global burden of 88 risk factors across 204 countries and 811 subnational locations from 1990 to 2021, providing comprehensive estimates of exposure levels and attributable disease burden to inform public health policy.

Abstract: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021.

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408 citations

Journal Article • 10.1016/J.AMAR.2013.03.001 •
Comparing Three Commonly Used Crash Severity Models on Sample Size Requirements: Multinomial Logit, Ordered Probit, and Mixed Logit Models
Fan Ye 1, Dominique Lord 2 • Institutions (2)
Texas A&M Transportation Institute 1, Texas A&M University 2
01 Jan 2014 - Analytic Methods in Accident Research
TL;DR: In this paper, the effects of sample size on the three most commonly used crash severity models: multinomial logit, ordered probit and mixed logit models were examined via a Monte-Carlo approach using simulated and observed crash data.

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357 citations

Journal Article • 10.1016/S0169-2046(00)00057-8 •
A tale of three greenway trails: user perceptions related to quality of life
C. Scott Shafer 1, Bong Koo Lee 1, Shawn Turner 2 • Institutions (2)
Texas A&M University 1, Texas A&M Transportation Institute 2
20 Jul 2000 - Landscape and Urban Planning
TL;DR: For example, this article found that most people used greenway trails for recreation but that trails differed in user types and activities based on location and policy, and that those who used trails for transportation scored trails as contributing more toward reducing pollution, reducing transportation costs and providing better access to work than did those who only used trails only for recreation.

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346 citations

Journal Article • 10.1016/J.AAP.2006.02.003 •
The extreme value theory approach to safety estimation
Praprut Songchitruksa 1, Andrew P. Tarko 2 • Institutions (2)
Texas A&M Transportation Institute 1, Purdue University 2
01 Jul 2006 - Accident Analysis & Prevention
TL;DR: A novel application of the extreme value theory to estimate safety is proposed, considered proactive in that it no longer requires historical crash data for the model calibration and evaluated by applying it to right-angle collisions at signalized intersections.

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331 citations

Journal Article • 10.1016/J.AAP.2010.09.015 •
Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and non-intersection locations.
Darren N. Moore 1, William H. Schneider 1, Peter T. Savolainen 2, Mohamadreza Farzaneh 3 • Institutions (3)
University of Akron 1, Wayne State University 2, Texas A&M Transportation Institute 3
01 May 2011 - Accident Analysis & Prevention
TL;DR: Results of likelihood ratio tests reveal that some of the factors affecting bicyclist injury severity at intersection and non-intersection locations are substantively different and using a common model to jointly estimate impacts on severity at both types of locations may result in biased or inconsistent estimates.

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262 citations

Authors

Performance Metrics

Total Papers: 1,446
Total Citations: 5,571