Analysis of Car Accident Trend Changes Due to Covid-19
Primary Investigator (PI) Name
Dr. Joseph DeMaio
Department
CCSE - Data Science and Analytics
Abstract
Millions of car accidents occur every year in the USA resulting in injuries, deaths and increased traffic congestion. Did the Covid-19 pandemic impact the frequency and/or severity of traffic accidents? Leveraging a dataset documenting vehicle accident details from the past ten years in New York City, this project investigates the changes observed in car crash frequencies and variance before and after March 2020. We conducted a geospatial analysis of the data to identify location-based trends and determine if those trends were consistent across the entire timeframe. By identifying the patterns or trends in the NYC accident data, perhaps more targeted and effective solutions can be created to widely reduce the number of accidents occurring nationwide due to necessary changes in behavior dictated by Covid-19.
Disciplines
Data Science
Analysis of Car Accident Trend Changes Due to Covid-19
Millions of car accidents occur every year in the USA resulting in injuries, deaths and increased traffic congestion. Did the Covid-19 pandemic impact the frequency and/or severity of traffic accidents? Leveraging a dataset documenting vehicle accident details from the past ten years in New York City, this project investigates the changes observed in car crash frequencies and variance before and after March 2020. We conducted a geospatial analysis of the data to identify location-based trends and determine if those trends were consistent across the entire timeframe. By identifying the patterns or trends in the NYC accident data, perhaps more targeted and effective solutions can be created to widely reduce the number of accidents occurring nationwide due to necessary changes in behavior dictated by Covid-19.