Literature DB >> 27178074

Investigating the risk factors associated with pedestrian injury severity in Illinois.

Mahdi Pour-Rouholamin1, Huaguo Zhou2.   

Abstract

INTRODUCTION: Pedestrians are known as the most vulnerable road users, which means their needs and safety require specific attention in strategic plans. Given the fact that pedestrians are more prone to higher injury severity levels compared to other road users, this study aims to investigate the risk factors associated with various levels of injury severity that pedestrians experience in Illinois.
METHOD: Ordered-response models are used to analyze single-vehicle, single-pedestrian crash data from 2010 to 2013 in Illinois. As a measure of net change in the effect of significant variables, average direct pseudo-elasticities are calculated that can be further used to prioritize safety countermeasures. A model comparison using AIC and BIC is also provided to compare the performance of the studied ordered-response models.
RESULTS: The results recognized many variables associated with severe injuries: older pedestrians (more than 65years old), pedestrians not wearing contrasting clothing, adult drivers (16-24), drunk drivers, time of day (20:00 to 05:00), divided highways, multilane highways, darkness, and heavy vehicles. On the other hand, crossing the street at crosswalks, older drivers (more than 65years old), urban areas, and presence of traffic control devices (signal and sign) are associated with decreased probability of severe injuries. CONCLUSIONS AND PRACTICAL APPLICATIONS: The comparison between three proposed ordered-response models shows that the partial proportional odds (PPO) model outperforms the conventional ordered (proportional odds-PO) model and generalized ordered logit model (GOLM). Based on the findings, stricter rules to address DUI driving is suggested. Educational programs need to focus on older pedestrians given the increasing number of older people in Illinois in the upcoming years. Pedestrians should be educated to use pedestrian crosswalks and contrasting clothing at night. In terms of engineering countermeasures, installation of crosswalks where pedestrian activity is high seems a promising practice.
Copyright © 2016 Elsevier Ltd and National Safety Council. All rights reserved.

Entities:  

Keywords:  Injury severity; Model comparison; Ordered-response model; Pedestrian crash; Safety

Mesh:

Year:  2016        PMID: 27178074     DOI: 10.1016/j.jsr.2016.03.004

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  7 in total

1.  Local vs. national: Epidemiology of pedestrian injury in a mid-Atlantic city.

Authors:  Elizabeth D Nesoff; Keshia M Pollack; Amy R Knowlton; Janice V Bowie; Andrea C Gielen
Journal:  Traffic Inj Prev       Date:  2018-04-11       Impact factor: 1.491

2.  Comparison of influencing factors on outcomes of single and multiple road traffic injuries: A regional study in Shanghai, China (2011-2014).

Authors:  Wenya Yu; Haiping Chen; Yipeng Lv; Qiangyu Deng; Peng Kang; Lulu Zhang
Journal:  PLoS One       Date:  2017-05-11       Impact factor: 3.240

3.  A Multilevel Model Approach for Investigating Individual Accident Characteristics and Neighborhood Environment Characteristics Affecting Pedestrian-Vehicle Crashes.

Authors:  Seunghoon Park; Dongwon Ko
Journal:  Int J Environ Res Public Health       Date:  2020-04-29       Impact factor: 3.390

4.  Modeling duration of overtaking between non-motorized vehicles: A nonparametric survival analysis based approach.

Authors:  Yan Liu; Chuanyun Fu; Wei Wang
Journal:  PLoS One       Date:  2021-01-29       Impact factor: 3.240

5.  Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile.

Authors:  Angelo Rampinelli; Juan Felipe Calderón; Carola A Blazquez; Karen Sauer-Brand; Nicolás Hamann; José Ignacio Nazif-Munoz
Journal:  Int J Environ Res Public Health       Date:  2022-09-05       Impact factor: 4.614

6.  Hidden patterns among the fatally injured pedestrians in an Iranian population: application of categorical principal component analysis (CATPCA).

Authors:  Milad Jamali-Dolatabad; Parvin Sarbakhsh; Homayoun Sadeghi-Bazargani
Journal:  BMC Public Health       Date:  2021-06-16       Impact factor: 3.295

7.  Exploring the Determinants of the Severity of Pedestrian Injuries by Pedestrian Age: A Case Study of Daegu Metropolitan City, South Korea.

Authors:  Seung-Hoon Park; Min-Kyung Bae
Journal:  Int J Environ Res Public Health       Date:  2020-03-31       Impact factor: 3.390

  7 in total

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