Socio-Economic and Spatial Disparity of Bus Ridership Impacts in King County, Washington, During COVID-19
Document Type
Journal Article
Publication Date
2024
Subject Area
place - north america, mode - bus, land use - impacts, operations - capacity, planning - service quality, ridership - behaviour, technology - passenger information
Keywords
automated passenger counters (APC), capacity and quality of service, public transportation, quality, ridership analysis
Abstract
Transit ridership has been seriously affected around the world by the COVID-19 pandemic. This study investigates the impacts of the COVID-19 pandemic on bus service ridership patterns in King County, Washington, using clustering and multinomial logit (MNL) models. Ridership patterns of King County Metro buses during different study periods are detected using clustering. The characteristics of ridership patterns and cluster assignment spatial distributions are further examined. The MNL models were developed using explanatory factors, including socio-demographic, transit service, and land use characteristics at each stop, that are correlated with the ridership pattern cluster assignments. Results of the developed models demonstrate disparities across socio-economic groups and unevenness throughout different neighborhoods in ridership reduction and peaking patterns during COVID-19.
Rights
Permission to publish the abstract has been given by SAGE, copyright remains with them.
Recommended Citation
Lin, J. Y. J., Chen, C., & Angah, O. (2024). Socio-economic and spatial disparity of bus ridership impacts in King County, Washington, during COVID-19. Transportation Research Record, 2678(12), 295-308.
