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Analyzing the time to death of pedestrian fatalities A copula approach

Authors
Anwari, NafisBhowmik, TanmoyAbdel-Aty, MohamedEluru, NaveenPark, Juneyoung
Issue Date
Feb-2025
Publisher
Pergamon Press Ltd.
Keywords
Pedestrian safetyLag timeCopula structureBinary logitOrdered logit
Citation
Journal of Safety Research, v.92, pp 55 - 67
Pages
13
Indexed
SSCI
SCOPUS
Journal Title
Journal of Safety Research
Volume
92
Start Page
55
End Page
67
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/121133
DOI
10.1016/j.jsr.2024.11.007
ISSN
0022-4375
1879-1247
Abstract
Introduction: The study aims to investigate the instant fatality likelihood and time to death (lag time) of pedestrian fatalities using a copula-based joint modeling framework. The upper level model investigates whether or not the pedestrian died instantly, while the lower level model investigates time to death for pedestrians who did not die instantly. Method: The joint model was run on a dataset of 33,615 observations obtained from the Fatality Accident Reporting System for the 2015–2019 period. The effect of roadway and traffic characteristics were investigated on time to death using six copula structures along with their parameterized versions. Results: Gaussian parameterized copula was found to have the best fit. Weather, Driver age groups, Drunk/ distracted/ drowsy drivers, Hit and Run, Involvement of Large Truck, VRU age group, VRU Gender, Presence of Sidewalk, Presence of Intersection, Light Condition, and Speeding were significant common factors for both sub-models. The factors found to be significant exclusively to one of the sub-models include: Area type for the Binary Logit model, and Presence of Crosswalk and Fire station nearby for the Ordered Logit model. Conclusions: Instant fatality likelihood increased and lag time for non-instant fatalities decreased for 16–24 year old drivers, drunk drivers, during hit and run situations, when large trucks were involved, for the elderly pedestrians, for female pedestrians, during dark conditions, and when vehicles were speeding. On the other hand, instant fatality likelihood decreased and lag time for non-instant fatalities increased in adverse weather conditions, for elderly drivers, on sidewalks, at intersections, and during daylight hours. Practical applications: Results can be useful to transportation policymakers and practitioners in implementing countermeasures to improve road safety. These include placing sidewalks, various types of crosswalks, traffic calming measures, and adequate artificial lighting in areas frequented by pedestrians. Alcohol and drug testing need to be enforced.
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ERICA 공학대학 (DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING)
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