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

ABSTRACT: As mobile device location data become increasingly available, new analyses are revealing the significant changes of mobility pattern when an unplanned event happened. With different control policies from local and state government, the COVID-19 outbreak has dramatically changed mobility behavior in affected cities. This study has been investigating the impact of COVID-19 on the number of people involved in crashes accounting for the intensity of different control measures using Negative Binomial (NB) method. Based on a comprehensive dataset of people involved in crashes aggregated in New York City during January 1, 2020 to May 24, 2020, people involved in crashes with respect to travel behavior, traffic characteristics and socio-demographic characteristics are found. The results show that

SUBMITTER: Zhang J 

PROVIDER: S-EPMC7939376 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature