01590049

Component

Slow expansion and inadequate upgrades of the transit network in Toronto, combined with unprecedented levels of demand, have created a daily commute for transit users which is plagued by delays and disruptions. This paper aims at examining and quantifying the resilience of the public transit network in Toronto to operational disruptions. It also attempts to identify critical points within the network, as well as the spatial impact of service disruptions. The study of resilience is a relatively new research topic, with a limited breadth of research conducted to date, especially when one considers the resilience of a public transit network. This paper intends to fill this research gap by proposing a new framework for resilience measurement and analysis. The approach adopted in this work is a unique combination of quantitative methods founded in Graph Theory and demand-elastic methods of transportation network analysis using EMME4. The research findings revealed the critical stations in Toronto’s subway network, which if disrupted, would create major negative impacts on passenger trip times. The underlying reasons for their inherent critical nature is discussed and analyzed. In addition, this work was able to spatially quantify transit resilience by identifying both low-risk and at-risk areas within Toronto.

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

01584066

16-2441

English

23p

2016

Transportation Research Board 95th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Graph theory; Metrics (Quantitative assessment); Network analysis (Planning); Networks; Public transit; Rapid transit; Service disruption; Spatial analysis

Resilience (Adaptability)

Toronto (Canada)

Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2016 Paper #16-2441

PRP, TRIS, TRB, ATRI

Jan 12 2016 5:05PM