Shared E-Scooter Trajectory Analysis During the COVID-19 Pandemic in Austin, Texas. Issue 4 (April 2023)

• Record Type: Journal Article
• Authors: Dean, Matthew D.; Zuniga-Garcia, Natalia
• Is Part Of: Transportation research record. Volume 2677:Issue 4(2023)
• Page Start: 432
• Page End: 447
• Publication Date: 2023-04
• Subjects: innovative public transportation services and technologies -- scooters -- origin and destination data -- spatial data -- public transportation -- data and data science -- urban transportation data and information systems; Transportation -- Periodicals; Roads; Transport -- Périodiques; Routes -- Périodiques; Routes -- Conception et construction -- Périodiques; Roads; Transportation; 388.05
• DOI: 10.1177/03611981221083306
• Languages: English
• ISSNs: 0361-1981

Abstract

By March of 2020, most cities worldwide had enacted stay-at-home public health orders to slow the spread of COVID-19. Restrictions on nonessential travel had extensive impacts across the transportation sector in the short term. This study explores the effects of COVID-19 on shared e-scooters by analyzing route trajectory data in the pre- and during-pandemic periods in Austin, TX, from a single provider. Although total shared e-scooter trips decreased during the pandemic, partially owing to vendors pulling out of the market, this study found average trip length increased, and temporal patterns of this mode did not meaningfully change. A count model of average daily trips by road segment found more trips on segments with sidewalks and bus stops during the pandemic than beforehand. More trips were observed on roads with lower vehicle miles traveled and fewer lanes, which might suggest more cautious travel behavior since there were fewer trips in residential neighborhoods. Stay-at-home orders and vendor e-scooter rebalancing operations inherently influence and can limit trip demand, but the unique trajectory data set and analysis provide cities with information on the road design preferences of vulnerable road users.