E-scooter interaction with road users reduction data (00-030)

Project Description: Electric scooters (e-scooters) are gaining in popularity due to their availability, accessibility, and low cost. However, there has been little research on how e-scooters behave on the road and interact with other road users. The Virginia Tech Transportation Institute, teaming with State Farm, conducted an observational study on the Virginia Tech campus. Video data were gathered through instrumented fixed cameras located at various intersections and high-volume pedestrian areas. The analysis focused on times with a high volume of e-scooter riders, which was the period from 10:00 a.m. to 4:00 p.m. The research team hope to address the following gaps in current research: investigating safety device implementation during e-scooter riding; understanding e-scooter behavior at different riding locations; and understanding the mode and safety limits of e-scooter interactions with other road users, with a special emphasis on motorized vehicles. Data Scope: A total of 492 e-scooter trips were recorded, and 473 of those were analyzed. The raw data is video series data gathered through fixed camera installed on 14 locations on Virginia Tech Campus. The data used for the analysis was coded from the raw video data by the data reduction team at Virginia Tech Transportation Institute, and this data contains all categorical variables. Data Specification: Please see Data Dictionary document below.