01623043

Component

This paper applies a graph theoretic analysis to understand the effects of a public transportation disruption on bike sharing usage in London. The authors compare statistical properties of the bike sharing usage before, during, and after a disruption in London underground. They found that the disruption had an impact on the network structure and properties of the bike sharing usage. Both the number and duration of bike trips are increased, new origin-destination demand are generated, and the bike sharing network has become more connected due to the the disruption in public transportation. However, the observed changes are not homogeneously distributed over space, such that stations in central London encountered greater increase in bike trip counts compared to outer areas. The main contributions of the paper include presentation of a graph-based method to analyze bike trips and providing insights on the interconnections between public transportation and bike sharing systems. Results suggest that bike sharing systems can potentially reduce the load on public transport network and increase the resilience of the transportation system in times of disruptive events.

This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation.

01618707

17-01098

English

16p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Bicycle travel; Bicycles; Disaster resilience; Graph theory; Impacts; Public transit; Service disruption; Vehicle sharing

London Underground

Interconnections (Transport modes)

Greater London

Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2017 Paper #17-01098

TRIS, TRB, ATRI

Dec 8 2016 10:18AM