Effect of Decreased Mobility on Traffic Safety During The COVID-19 Pandemic

Abstract

Mobility analysis is used to determine how people change travel behavior, and safety analysis focuses on how traffic safety can change. The integration of mobility, safety and behavioral data related to COVID-19 is expected to provide valuable insights to decision makers. Today, the wide availability of mobile sensors has given us the opportunity to be able to assess changes in the performance and mobility of transport systems in near real time. The researchers also measured the impact of COVID-19 on human mobility using public mobile location data available from many companies such as Google and Apple, which is very useful for changing human mobility. The platforms produce aggregated metrics of daily mobility, including the purpose of travel, the mode of travel, and imputations of social demographics. Based on a comprehensive data set of people who participated in the collected accident data and mobile device data, we record the impact of COVID-19 on traffic safety. The paper systematically and statistically approaches the assessment of road safety during the COVID-19 pandemic. To sustain the spread of COVID-19, a natural experiment is being conducted that dramatically reduces traffic and provides unprecedented data. While such measures cannot be replicated, understanding their impact can help us devise more effective policies and interventions on road safety.