Spatial autocorrelation analysis of cargo trucks on highway crashes in Chile

Accident; Analysis and Prevention
Carola A BlazquezFernando Losada

Abstract

The growing number of cargo trucks on highway crashes in recent years due to the increase in freight movement in Chile motivates this study to identify the formation of persistent crash clusters on highway Ruta 5 (R5). Two spatial statistical methods (Moran's I and Getis-Ord Gi*) were used to determine whether crashes on this highway showed spatial clustering over time from a global and local perspective. Globally, recurrent crash clusters are spatially correlated on vertical curves and straight highway sections on northern R5 with different truck types and with the tractor-trailer units during rainy days on southern R5. The local spatial autocorrelation results suggest that the contributing causes related to the loss of control of the vehicle, the fatigue and imprudence of the driver, and crashes involving tractor units with trailer tend to cause persistent rollover crash clusters throughout R5. Overall, clustering of crash attributes with high values (i.e., hot spots) occurring on highway locations with vertical curves and on cloudy days predominated in the northern R5, and the largest number of recurrent hot spots occurred on sunny days along southern R5. A hot spot spatial co-occurrence analysis was further performed to ide...Continue Reading

Citations

Aug 8, 2020·International Journal of Environmental Research and Public Health·Fanyu MengLili Yang
Dec 18, 2020·Revista brasileira de epidemiologia = Brazilian journal of epidemiology·Christian Toval-RuizAkram Hernández-Vásquez
May 15, 2021·Accident; Analysis and Prevention·M Al Hamami, T C Matisziw
May 6, 2019·Accident; Analysis and Prevention·Fedy Ouni, Mounir Belloumi

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