Day-of-the-week variations and temporal instability of factors influencing pedestrian injury severity in pedestrian-vehicle crashes: A random parameters logit approach …

Y Li, L Song, WD Fan - Analytic methods in accident research, 2021 - Elsevier
Using pedestrian-vehicle crash data in North Carolina from 2007 to 2018, this study
explores the potential variation in the influence of factors affecting pedestrian injury severity …

Factors affecting injury severity at pedestrian crossing locations with Rectangular RAPID Flashing Beacons (RRFB) using XGBoost and random parameters discrete …

A Goswamy, M Abdel-Aty, Z Islam - Accident Analysis & Prevention, 2023 - Elsevier
This paper evaluates the effectiveness of Rectangular Rapid Flashing Beacons (RRFB) on
crash severity. The study used and compared XGBoost and Random Parameters Discrete …

[HTML][HTML] Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural …

S Mokhtarimousavi, JC Anderson, A Azizinamini… - International journal of …, 2020 - Elsevier
The high number of vehicle–pedestrian crashes in the United State has gained increased
attention among transportation safety analysts in recent years. Being directly exposed to the …

The effects of neighborhood characteristics and the built environment on pedestrian injury severity: A random parameters generalized ordered probability model with …

C **n, R Guo, Z Wang, Q Lu, PS Lin - Analytic methods in accident …, 2017 - Elsevier
Transportation infrastructure facilities and pedestrian/driver behaviors are associated with
neighborhood characteristics and the built environment. However, the effects of …

[HTML][HTML] Comparative analysis of the optimized KNN, SVM, and ensemble DT models using Bayesian optimization for predicting pedestrian fatalities: an advance …

L Yang, M Aghaabbasi, M Ali, A Jan, B Bouallegue… - Sustainability, 2022 - mdpi.com
Over the past three decades, more than 8000 pedestrians have been killed in Australia due
to vehicular crashes. There is a general assumption that pedestrians are often the most …

[HTML][HTML] Hierarchical ordered model for injury severity of pedestrian crashes in South Korea

M Kim, SY Kho, DK Kim - Journal of safety research, 2017 - Elsevier
Introduction: The high percentage of fatalities in pedestrian-involved crashes is a critical
social problem. The purpose of this study is to investigate factors influencing injury severity …

[HTML][HTML] An advanced machine learning approach to predicting pedestrian fatality caused by road crashes: A step toward sustainable pedestrian safety

W Tao, M Aghaabbasi, M Ali, AH Almaliki, R Zainol… - Sustainability, 2022 - mdpi.com
More than 8000 pedestrians were killed due to road crashes in Australia over the last 30
years. Pedestrians are assumed to be the most vulnerable users of roads. This susceptibility …

Alternative ordered response frameworks for examining pedestrian injury severity in New York City

S Yasmin, N Eluru, SV Ukkusuri - Journal of Transportation Safety …, 2014 - Taylor & Francis
This article focuses on identifying the appropriate ordered response structure for modeling
pedestrian injury severity. The alternative ordered response approaches considered for the …

[HTML][HTML] Using geographically weighted logistic regression (GWLR) for pedestrian crash severity modeling: Exploring spatially varying relationships with natural and …

NM Zafri, A Khan - IATSS research, 2023 - Elsevier
Although a large number of studies have tried to explore the relationship between built
environment and pedestrian crash severity in developed countries, there is a lack of similar …

Analyzing injury severity factors at highway railway grade crossing accidents involving vulnerable road users: A comparative study

H Ghomi, M Bagheri, L Fu… - Traffic injury …, 2016 - Taylor & Francis
Objective: The main objective of this study is to identify the main factors associated with
injury severity of vulnerable road users (VRUs) involved in accidents at highway railroad …