Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile

Angelo Rampinelli, Juan Felipe Calderón, Carola A. Blazquez (), Karen Sauer-Brand, Nicolás Hamann and José Ignacio Nazif-Munoz
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Angelo Rampinelli: Faculty of Engineering, Universidad Andres Bello, Antonio Varas 880, Santiago 7500971, Chile
Juan Felipe Calderón: Unidad de Innovación Docente y Académica, Universidad Andres Bello, Quillota 980, Viña del Mar 2531015, Chile
Carola A. Blazquez: Department of Engineering Sciences, Universidad Andres Bello, Quillota 980, Viña del Mar 2531015, Chile
Karen Sauer-Brand: Faculty of Economics and Business, Universidad Andres Bello, Fernández Concha 700, Santiago 7591538, Chile
Nicolás Hamann: Faculty of Engineering, Universidad Andres Bello, Quillota 980, Viña del Mar 2531015, Chile
José Ignacio Nazif-Munoz: Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, 150, Place Charles-Le Moyne, Longueuil, QC J4K 0A8, Canada

IJERPH, 2022, vol. 19, issue 17, 1-21

Abstract: Pedestrians are vulnerable road users that are directly exposed to road traffic crashes with high odds of resulting in serious injuries and fatalities. Therefore, there is a critical need to identify the risk factors associated with injury severity in pedestrian crashes to promote safe and friendly walking environments for pedestrians. This study investigates the risk factors related to pedestrian, crash, and built environment characteristics that contribute to different injury severity levels in pedestrian crashes in Santiago, Chile from a spatial and statistical perspective. First, a GIS kernel density technique was used to identify spatial clusters with high concentrations of pedestrian crash fatalities and severe injuries. Subsequently, partial proportional odds models were developed using the crash dataset for the whole city and the identified spatial clusters to examine and compare the risk factors that significantly affect pedestrian crash injury severity. The model results reveal higher increases in the fatality probability within the spatial clusters for statistically significant contributing factors related to drunk driving, traffic signage disobedience, and imprudence of the pedestrian. The findings may be utilized in the development and implementation of effective public policies and preventive measures to help improve pedestrian safety in Santiago.

Keywords: pedestrian safety; spatial analysis; traffic injury; kernel density estimation; partial proportional odds (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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