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

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TLDR
In this article , the authors investigated 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.
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.

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Journal ArticleDOI

Identification of factors increasing the risk of pedestrian death in road accidents involving a pedestrian with a motor vehicle

TL;DR: In this article , the authors determined the factors influencing the formation of fatalities in road traffic accidents among pedestrians in acci-dents involving pedestrians and motor vehicles in the Silesian Voivodeship (Poland) in 2016-2021.
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Impact of Driver’s Age and Gender, Built Environment, and Road Conditions on Crash Severity: A Logit Modeling Approach

TL;DR: In this paper , the authors investigated the relationship between crash severity and the age and gender of the at-fault driver, the socioeconomic characteristics of the surrounding environment, and road conditions, and to explain the probability of a bodily injury crash, including fatality, with the alternative being a property damage only crash.
Journal ArticleDOI

A Clustering-Based Approach to Detecting Critical Traffic Road Segments in Urban Areas

Isabela Almeida dos Santos
- 24 May 2023 - 
TL;DR: In this paper , a parameter-free clustering-based approach is proposed to detect critical traffic road segments in urban areas, i.e., road segments of spatially prolonged and high traffic accident risk.
References
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Global status report on road safety.

Tamitza Toroyan
- 01 Aug 2009 - 
TL;DR: The World Health Organization has just released the Global status report on road safety —the first broad assessment that describes the road safety situation in 178 countries, using data drawn from a standardised survey, providing a benchmark that countries can use to assess their road safety position relative to other countries.
Journal ArticleDOI

Generalized ordered logit/partial proportional odds models for ordinal dependent variables

TL;DR: Gologit2 as discussed by the authors is a generalized ordered logit model inspired by Vincent Fu's gologit routine (Stata Technical Bulletin Reprints 8: 160-164).
Book

Quantitative geography : perspectives on spatial data analysis

TL;DR: In this article, the role of Geographic Information Systems Exploring Spatial Data Visually Local Analysis Point Pattern Analysis Spatial Regression and Geostatistical Models Statistical Inference for Spatial data Spatial Modelling and the Evolution of Spatial Theory Challenges in SPatial Data Analysis
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Large-scale physical activity data reveal worldwide activity inequality

TL;DR: In more walkable cities, activity is greater throughout the day and throughout the week, across age, gender, and body mass index (BMI) groups, with the greatest increases in activity found for females.
Journal ArticleDOI

Partial Proportional Odds Models for Ordinal Response Variables

TL;DR: In this article, the ordinal logistic regression model that McCullagh called the proportional odds model is extended to models that allow non-proportional odds for a subset of the explanatory variables.
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