01764156

Component

https://annualmeeting.myt...nlineProgram/Details/15859

Unlike many other metros, the transit ridership in Seattle has been increasing, even after the arrival of transportation network companies (TNCs), which are often blamed for crushing the performance of transit. Data shows the number of Sound Transit Link Light Rail (STLLR) users is soaring, while King County Metro (KCM) bus is struggling. This paper uses two approaches to analyze the effects of TNCs and STLLR on KCM bus. The results from the spatial lagged/error fixed effects models with maximum likelihood (ML) estimation indicate that STLLR is a substitute to KCM bus, with the fact that KCM has adapted to new situations by changing routes and frequencies. Uber’s effect on the total demand for KCM bus is not significant, but it becomes negative if the bus ridership is measured by boarding per trip. Presented in the hot spot analyses using Getis-Ord Gi*, the hot/cold spots of the changes in KCM bus ridership and Uber demand are spatially mutually exclusive. Places where bus ridership increased rapidly – particularly those served by BRT (bus rapid transit)-like routes – tend to see a below-average growth in Uber trips. Discussed at the end of the paper, transportation service providers should coordinate with each other and identify their strengths.

This paper was sponsored by TRB committee AED60 Standing Committee on Statistical Methods.

TRBAM-21-01821

English

18p

2021

Transportation Research Board 100th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Bus transit; Light rail transit; Ridership; Ridesourcing

King County Metro Transit; Sound Transit

Seattle (Washington)

Operations and Traffic Management; Passenger Transportation; Public Transportation

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-01821

TRIS, TRB, ATRI

Dec 23 2020 11:21AM