Exploring Factors Contributing to Pedestrian Injury Severity in Pedestrian–Vehicle Crashes: An Integrated XGBoost–SHAP, Latent Cluster, and Mixed Logit Approach DOI

Huijie Ouyang,

Pengfei Liu,

Yin Han

et al.

Journal of Transportation Engineering Part A Systems, Journal Year: 2024, Volume and Issue: 151(2)

Published: Dec. 16, 2024

Language: Английский

Modelling the Interdependent Relationship of Motorcyclist Injury Severity and Fault Status: A Recursive Bivariate Random Parameters Probit Approach DOI
Chamroeun Se, J E Woolley, Thanapong Champahom

et al.

Transport Policy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

2
Assessment of vehicle age as a contributor to temporal shifts in single-vehicle driver injury severities DOI
Emmanuel Kofi Adanu, Richard Dzinyela, Dustin Wood

et al.

Analytic Methods in Accident Research, Journal Year: 2025, Volume and Issue: unknown, P. 100383 - 100383

Published: March 1, 2025

Language: Английский

Citations

1
How does distraction affect cyclists’ severe crashes? A hybrid CatBoost-SHAP and random parameters binary logit approach DOI

Ali Agheli,

Kayvan Aghabayk

Accident Analysis & Prevention, Journal Year: 2024, Volume and Issue: 211, P. 107896 - 107896

Published: Dec. 13, 2024

Language: Английский

Citations

9
Exploring fatal/severe pedestrian injury crash frequency at school zone crash hotspots: using interpretable machine learning to assess the micro-level street environment DOI
Kaihan Zhang, Reuben Tamakloe, Mengqiu Cao

et al.

Journal of Transport Geography, Journal Year: 2024, Volume and Issue: 121, P. 104034 - 104034

Published: Oct. 29, 2024

Language: Английский

Citations

3
Investigating temporal trends in risk factors related to injury severity of crashes with pedestrians in urban areas DOI
Mateus Nogueira Silva, Marcos José Timbó Lima Gomes, Flávio José Craveiro Cunto

et al.

Traffic Injury Prevention, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 7

Published: Feb. 3, 2025

The implementation of road safety policy in urban areas can potentially change the severity profile crashes, as well how risk factors influence crash severity. In this sense, study aims to empirically evaluate possible changes crashes with pedestrians and for pedestrian injuries after efforts Decade Action Road Safety city Fortaleza, Brazil. This was done using data from between 2009 2019; divided into three periods. Two categorical modeling analyses were performed mixed logit approach, including sociodemographic, environmental, vehicle, type, traffic control device factors. first analysis, a single model estimated, time (period) included an explanatory variable; second one, models estimated each period. According temporal reduction evident over decade action. general, interventions seemed have little or no impact on gender, young (up 15 years old), at night, during weekends crossings near lights. Regarding arterial roads, results suggest increase marginal effects fatal action, while other variables, such heavy vehicles expressways, showed positive all periods, indicating that direction their effect did not change. is potential indication overall policies effective these types crashes. It identify considerable older (60+) both severe Although it claim comes specific actions controlled factors, presented here indicate improvement users, line goals Safe Systems Approach reduce injuries.

Language: Английский

Citations

0
Lane Formation Mechanism in Public Health Risk Scenarios: An Empirical Study on Bidirectional Pedestrian Flow DOI
Junheng Yang, Wei‐Ying Chen, Shumin Feng

et al.

Physica A Statistical Mechanics and its Applications, Journal Year: 2025, Volume and Issue: unknown, P. 130709 - 130709

Published: May 1, 2025

Language: Английский

Citations

0
Uncovering Individual Heterogeneity in Pedestrian Crash Severity with Mixed Logit Models: A Louisiana Case Study DOI
Monire Jafari, Subasish Das, Reuben Tamakloe

et al.

Transportation Research Record Journal of the Transportation Research Board, Journal Year: 2025, Volume and Issue: unknown

Published: May 29, 2025

The rising number of pedestrian-vehicle collisions in the U.S. has become a significant safety concern. Pedestrians face heightened risk severe injuries because their immediate exposure to collision forces. This research addresses critical public health issue pedestrian-involved by examining factors contributing injury severity, focusing on Louisiana State. Gathering 5 years pedestrian crash data (2017–2021), totaling 8,213 unique incidents, study performed analysis using wide range variables. employed several mixed logit models assess impact types, with random parameters heterogeneity means and variances model identified as most suitable, based performance metrics. this revealed key insights, identifying four influencing such business/residential areas undivided two-way roads decreasing probability fatal crashes. However, trucks/vans drivers’ alcohol impairment increased likelihood INJ FSI, respectively. Certain conditions, including darkness continuous lights on, age group 25–45 years, vehicles headlights off, had notable effects parameters. By translating these findings into evidence-based policies, authorities can work toward creating safer pedestrian-friendly environments reducing severity

Language: Английский

Citations

0
A sequel to “Comprehensive analysis of single- and multi-vehicle large truck at-fault crashes on rural and urban roadways in Alabama”: Accounting for temporal instability in crash factors DOI

Sharareh Biglari,

Emmanuel Kofi Adanu, Steven Jones

et al.

Accident Analysis & Prevention, Journal Year: 2024, Volume and Issue: 206, P. 107723 - 107723

Published: July 29, 2024

Language: Английский

Citations

0
Differences in injury severities between elderly and non-elderly taxi driver at-fault crashes: Temporal instability and out-of-sample prediction DOI
Reuben Tamakloe,

Mahdi Khorasani,

Inhi Kim

et al.

Accident Analysis & Prevention, Journal Year: 2024, Volume and Issue: 211, P. 107865 - 107865

Published: Dec. 7, 2024

Language: Английский

Citations

0
Exploring Factors Contributing to Pedestrian Injury Severity in Pedestrian–Vehicle Crashes: An Integrated XGBoost–SHAP, Latent Cluster, and Mixed Logit Approach DOI

Huijie Ouyang,

Pengfei Liu,

Yin Han

et al.

Journal of Transportation Engineering Part A Systems, Journal Year: 2024, Volume and Issue: 151(2)

Published: Dec. 16, 2024

Language: Английский

Citations

0