  Double parking that often negatively affects traffic operations and safety is
not a new phenomenon on urban streets. This study proposes a novel data-driven
integrated framework for estimating the actual frequency of double parking so
that both microscopic and macroscopic models can be utilized to quantify
area-wide impacts in the presence of double parking. The findings of the study
can provide transportation agencies with useful insights on identifying
locations that will experience the greatest benefits by removing problematic
double parking. As a result, various parking enforcement and management
strategies can be planned more effectively.
