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Navigating Spatial Inequities in Freight Truck Crash Severity via Counterfactual Inference in Los Angeles by Wang, Yichen; Yin, Hao; Yang, Yifan; Zhao, Chenyang; Wang, Siqin is a scholarly article available to read on EtoBox.

What is Navigating Spatial Inequities in Freight Truck Crash Severity via Counterfactual Inference in Los Angeles about?

Freight truck-related crashes pose significant challenges, leading to substantial economic losses, injuries, and fatalities, with pronounced spatial disparities across different regions. This study adopts a transport geography perspective to examine spatial justice concerns by employing deep counterfactual inference models to analyze how socioeconomic disparities, road infrastructure, and environmental conditions influence the geographical distribution and severity of freight truck crashes. By integrating road network datasets, socioeconomic attributes, and crash records from the Los Angeles metropolitan area, this research provides a nuanced spatial analysis of how different communities are disproportionately impacted. The results reveal significant spatial disparities in crash severity across areas with varying population densities, income levels, and minority populations, highlighting the pivotal role of infrastructural and environmental improvements in mitigating these disparities. The findings offer insights into targeted, location-specific policy interventions, suggesting enhancements in road infrastructure, lighting, and traffic control systems, particularly in low-income an

Author

Wang, Yichen; Yin, Hao; Yang, Yifan; Zhao, Chenyang; Wang, Siqin

Published

2024

Language

EN