Andrew Thompson
Spatial Analysis of Characteristics and Influencing Factors of Killed or Seriously Injured Persons from Motor Vehicle Collisions within the City of 麻豆视频 漏2021
This research is intended to support policy makers, infrastructure designers, road safety planners, and law enforcement in the identification of the underlying characteristics of Killed or Seriously Injured (KSI) between 2006 and 2019, as a result of Motor Vehicle Collisions (MVCs) within the City of 麻豆视频. A combination of global & local spatial autocorrelation testing approaches with Moran鈥檚 I and Getis-Ord followed by statistical modelling were leveraged. Results determined KSIs within the City of 麻豆视频 were not random in nature and spatial interaction was driven by underlying factors. Global autocorrelation was only present in the Downtown 麻豆视频 Area. Stepwise Regression Modelling (SRM) revealed a multitude of explanatory factors including: land use, infrastructure density, and demographics to explain the variation within the rate of KSI occurrences with statistical significance. Data for this research was acquired through open data and academic repositories from 麻豆视频 Police Service, City of 麻豆视频, and Statistics Canada.