Evaluating Aging Pedestrian Crash Severity with Bayesian Complementary Log–Log Model for Improved Prediction Accuracy

Angela E. Kitali; Emmanuel Kidando; Thobias Sando; Ren Moses; Eren Erman Ozguven

doi:10.3141/2659-17

Evaluating Aging Pedestrian Crash Severity with Bayesian Complementary Log–Log Model for Improved Prediction Accuracy

Angela E. Kitali
, Emmanuel Kidando
, Thobias Sando
, Ren Moses
, Eren Erman Ozguven

School of Engineering

University of North Florida

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	155-163
Number of pages	9
Journal	Transportation Research Record
Volume	2659
Issue number	1
DOIs	https://doi.org/10.3141/2659-17
State	Published - 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

Civil and Structural Engineering
Mechanical Engineering

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10.3141/2659-17

Cite this

@article{802ef306b23d4908b360a34bd2785055,

title = "Evaluating Aging Pedestrian Crash Severity with Bayesian Complementary Log{\textendash}Log Model for Improved Prediction Accuracy",

author = "Kitali, \{Angela E.\} and Emmanuel Kidando and Thobias Sando and Ren Moses and Ozguven, \{Eren Erman\}",

note = "Publisher Copyright: {\textcopyright} 2017 National Academy of Sciences.",

year = "2017",

doi = "10.3141/2659-17",

language = "English",

volume = "2659",

pages = "155--163",

number = "1",

}

TY - JOUR

T1 - Evaluating Aging Pedestrian Crash Severity with Bayesian Complementary Log–Log Model for Improved Prediction Accuracy

AU - Kitali, Angela E.

AU - Kidando, Emmanuel

AU - Sando, Thobias

AU - Moses, Ren

AU - Ozguven, Eren Erman

PY - 2017

Y1 - 2017

UR - https://www.scopus.com/pages/publications/85049426841

UR - https://www.scopus.com/pages/publications/85049426841#tab=citedBy

U2 - 10.3141/2659-17

DO - 10.3141/2659-17

M3 - Article

AN - SCOPUS:85049426841

SN - 0361-1981

VL - 2659

SP - 155

EP - 163

JO - Transportation Research Record

JF - Transportation Research Record

IS - 1

ER -

Evaluating Aging Pedestrian Crash Severity with Bayesian Complementary Log–Log Model for Improved Prediction Accuracy

UN SDGs

ASJC Scopus Subject Areas

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