Understanding Fatal Crashes in Portland: A Spatial Analysis of Sociodemographic, Built Environment and Vehicle Speed Factors
Presentation Time: Wed, 04/30/2025 - 11:30
Keywords: Road Safety, Vehicle Speed Data, Geographically Weighted Regression, Open Data.
This article presents a case study analyzing the opportunities provided by the Portland open data repository on vehicle speed to explore the relationship between vehicle speed and road safety. While the influence of vehicle speed on road safety has been well-documented on highways and freeways—where free flow conditions are generally uninterrupted by pedestrians or bus stops—this study shifts focus to urban core roads, which include arterials and collector roads. These types of roads account for 69% of road fatalities in the U.S. and are characterized by a higher density of diverse road users, making the interaction between vehicle speed and safety more complex. Using Geographically Weighted Regression (GWR), the study examines the associations between vehicle speed and fatal road crashes at the block group level. The goal is to assess the significance of vehicle speed in predicting fatal crashes while identifying spatial variability across the city. This analysis aims to provide insights that could inform localized interventions, particularly in ethnically diverse areas that disproportionately bear the burden of road fatalities.
