engleski

The effect of control measures on mobility and traffic safety during COVID-19 pandemic

Mobility analysis is used to determine how people change travel behavior, and traffic safety analysis focuses on how traffic safety can change from before to after an event. Today, the wide availability of mobile sensors has given us the opportunity to be able to assess changes in human mobility in near real time. The platforms produce aggregated daily mobility metrics and the integration of mobility and safety data related to COVID-19 is expected to provide valuable results. Data collected on the impact of COVID-19 on human mobility using public location data of mobile devices available to many companies such as Google and Apple which is very useful to show the change of human mobility according to a different control policy. With different control policies from local and state government, the outbreak of COVID-19 dramatically changed the behavior in the Republic of Croatia. In this study, we collected timelines of public policies issued by the local and state government. The different levels of control policies during the outbreak of COVID-19 are closely related to safety awareness, driving and travel behavior, and thus an indirect impact on collision frequency. Based on set of data of people involved in traffic accidents and mobility data from mobile devices, the impact of COVID-19 on traffic safety was analyzed. Based on collected set of data of mobility and traffic accidents in the Republic of Croatia from the beginning of the pandemic, this study specifically aims to assess road safety in view of the change in control policies for COVID-19. This paper explores the impact of human mobility and control policies, including declaring emergencies, banning gatherings of certain sizes, closing schools, business restrictions and home stays on the number of people involved in accidents in the Republic of Croatia during the COVID-19 pandemic.

traffic ; safety ; mobility ; measures ; pandemic

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