CUED Publications database

Analyzing pedestrian crash injury severity under different weather conditions.

Li, D and Ranjitkar, P and Zhao, Y and Yi, H and Rashidi, S (2017) Analyzing pedestrian crash injury severity under different weather conditions. Traffic Inj Prev, 18. pp. 427-430.

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OBJECTIVE: Pedestrians are the most vulnerable road users due to the lack of mass, speed, and protection compared to other types of road users. Adverse weather conditions may reduce road friction and visibility and thus increase crash risk. There is limited evidence and considerable discrepancy with regard to impacts of weather conditions on injury severity in the literature. This article investigated factors affecting pedestrian injury severity level under different weather conditions based on a publicly available accident database in Great Britain. METHOD: Accident data from Great Britain that are publicly available through the STATS19 database were analyzed. Factors associated with pedestrian, driver, and environment were investigated using a novel approach that combines a classification and regression tree with random forest approach. RESULTS: Significant severity predictors under fine weather conditions from the models included speed limits, pedestrian age, light conditions, and vehicle maneuver. Under adverse weather conditions, the significant predictors were pedestrian age, vehicle maneuver, and speed limit. CONCLUSIONS: Elderly pedestrians are associated with higher pedestrian injury severities. Higher speed limits increase pedestrian injury severity. Based on the research findings, recommendations are provided to improve pedestrian safety.

Item Type: Article
Uncontrolled Keywords: Injury severity classification and regression trees (CART) random forests weather Accidents, Traffic Adolescent Adult Age Factors Aged Databases, Factual Female Humans Injury Severity Score Male Middle Aged Models, Theoretical Pedestrians Regression Analysis Risk Factors Safety United Kingdom Walking Weather Wounds and Injuries Young Adult
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 24 Apr 2020 20:21
Last Modified: 13 Apr 2021 07:06
DOI: 10.1080/15389588.2016.1207762